MarkKisker
commited on
Training in progress, epoch 1
Browse files- config.json +32 -0
- logs/events.out.tfevents.1709907916.DESKTOP-U0CPD9M.13936.1 +3 -0
- model.safetensors +3 -0
- tmp-checkpoint-1067/config.json +32 -0
- tmp-checkpoint-1067/model.safetensors +3 -0
- tmp-checkpoint-1067/optimizer.pt +3 -0
- tmp-checkpoint-1067/rng_state.pth +3 -0
- tmp-checkpoint-1067/scheduler.pt +3 -0
- tmp-checkpoint-1067/trainer_state.json +775 -0
- tmp-checkpoint-1067/training_args.bin +3 -0
- tmp-checkpoint-5335/config.json +32 -0
- tmp-checkpoint-5335/model.safetensors +3 -0
- tmp-checkpoint-5335/optimizer.pt +3 -0
- tmp-checkpoint-5335/rng_state.pth +3 -0
- tmp-checkpoint-5335/scheduler.pt +3 -0
- tmp-checkpoint-5335/trainer_state.json +3812 -0
- tmp-checkpoint-5335/training_args.bin +3 -0
- training_args.bin +3 -0
config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "roberta-base",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "neg",
|
15 |
+
"1": "pos"
|
16 |
+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"layer_norm_eps": 1e-05,
|
20 |
+
"max_position_embeddings": 514,
|
21 |
+
"model_type": "roberta",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 12,
|
24 |
+
"pad_token_id": 1,
|
25 |
+
"position_embedding_type": "absolute",
|
26 |
+
"problem_type": "single_label_classification",
|
27 |
+
"torch_dtype": "float32",
|
28 |
+
"transformers_version": "4.38.2",
|
29 |
+
"type_vocab_size": 1,
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 50265
|
32 |
+
}
|
logs/events.out.tfevents.1709907916.DESKTOP-U0CPD9M.13936.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bf3cb64657e95eb088e8a85eb54416c9430cf6771bd1864b2bd371bc559b5119
|
3 |
+
size 146918
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d8773cb8b07b3f97005edaf1661a5c9113d4377b12c6c726392e0e81468c80e
|
3 |
+
size 498612824
|
tmp-checkpoint-1067/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "roberta-base",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "neg",
|
15 |
+
"1": "pos"
|
16 |
+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"layer_norm_eps": 1e-05,
|
20 |
+
"max_position_embeddings": 514,
|
21 |
+
"model_type": "roberta",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 12,
|
24 |
+
"pad_token_id": 1,
|
25 |
+
"position_embedding_type": "absolute",
|
26 |
+
"problem_type": "single_label_classification",
|
27 |
+
"torch_dtype": "float32",
|
28 |
+
"transformers_version": "4.38.2",
|
29 |
+
"type_vocab_size": 1,
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 50265
|
32 |
+
}
|
tmp-checkpoint-1067/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5d8773cb8b07b3f97005edaf1661a5c9113d4377b12c6c726392e0e81468c80e
|
3 |
+
size 498612824
|
tmp-checkpoint-1067/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fbac00785a0ee4936130c3d53f6930d52380220f3003afa61236cbb22e39fa55
|
3 |
+
size 997345530
|
tmp-checkpoint-1067/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7d335a0c30b8fbab50a79e273ebee2f52a5ebd0b7b19052d2ece2b472cc7f677
|
3 |
+
size 14244
|
tmp-checkpoint-1067/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:76578fd31f01f2bf7d4b6e42a46719f15dc06a3254eb11aa10709f32807be7f2
|
3 |
+
size 1064
|
tmp-checkpoint-1067/trainer_state.json
ADDED
@@ -0,0 +1,775 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7780232429504395,
|
3 |
+
"best_model_checkpoint": "MarkKisker/RoBERTa-base-RottenTomatoes_v2\\checkpoint-1067",
|
4 |
+
"epoch": 1.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 1067,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 0.03423001989722252,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 0.0018,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 0.04875793680548668,
|
21 |
+
"learning_rate": 2.0000000000000003e-06,
|
22 |
+
"loss": 0.0014,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03,
|
27 |
+
"grad_norm": 20.525543212890625,
|
28 |
+
"learning_rate": 3e-06,
|
29 |
+
"loss": 0.1788,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04,
|
34 |
+
"grad_norm": 0.02198684774339199,
|
35 |
+
"learning_rate": 4.000000000000001e-06,
|
36 |
+
"loss": 0.0014,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05,
|
41 |
+
"grad_norm": 0.09893256425857544,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.1576,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06,
|
48 |
+
"grad_norm": 0.04567793011665344,
|
49 |
+
"learning_rate": 6e-06,
|
50 |
+
"loss": 0.1448,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07,
|
55 |
+
"grad_norm": 0.7623605728149414,
|
56 |
+
"learning_rate": 7.000000000000001e-06,
|
57 |
+
"loss": 0.0016,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.07,
|
62 |
+
"grad_norm": 0.023505745455622673,
|
63 |
+
"learning_rate": 8.000000000000001e-06,
|
64 |
+
"loss": 0.0017,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.08,
|
69 |
+
"grad_norm": 0.022804420441389084,
|
70 |
+
"learning_rate": 9e-06,
|
71 |
+
"loss": 0.1304,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.09,
|
76 |
+
"grad_norm": 0.03228422999382019,
|
77 |
+
"learning_rate": 1e-05,
|
78 |
+
"loss": 0.1446,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1,
|
83 |
+
"grad_norm": 0.23935572803020477,
|
84 |
+
"learning_rate": 1.1000000000000001e-05,
|
85 |
+
"loss": 0.0425,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.11,
|
90 |
+
"grad_norm": 7.51793098449707,
|
91 |
+
"learning_rate": 1.2e-05,
|
92 |
+
"loss": 0.0024,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.12,
|
97 |
+
"grad_norm": 0.023124126717448235,
|
98 |
+
"learning_rate": 1.3000000000000001e-05,
|
99 |
+
"loss": 0.0228,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.13,
|
104 |
+
"grad_norm": 17.817167282104492,
|
105 |
+
"learning_rate": 1.4000000000000001e-05,
|
106 |
+
"loss": 0.0753,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.14,
|
111 |
+
"grad_norm": 0.015741823241114616,
|
112 |
+
"learning_rate": 1.5e-05,
|
113 |
+
"loss": 0.1112,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.15,
|
118 |
+
"grad_norm": 0.26574474573135376,
|
119 |
+
"learning_rate": 1.6000000000000003e-05,
|
120 |
+
"loss": 0.0092,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.16,
|
125 |
+
"grad_norm": 4.9772748947143555,
|
126 |
+
"learning_rate": 1.7000000000000003e-05,
|
127 |
+
"loss": 0.2384,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.17,
|
132 |
+
"grad_norm": 0.061539579182863235,
|
133 |
+
"learning_rate": 1.8e-05,
|
134 |
+
"loss": 0.0012,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.18,
|
139 |
+
"grad_norm": 0.08193587511777878,
|
140 |
+
"learning_rate": 1.9e-05,
|
141 |
+
"loss": 0.0812,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.19,
|
146 |
+
"grad_norm": 0.023329803720116615,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.1662,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2,
|
153 |
+
"grad_norm": 0.031778186559677124,
|
154 |
+
"learning_rate": 2.1e-05,
|
155 |
+
"loss": 0.0013,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.21,
|
160 |
+
"grad_norm": 0.023606792092323303,
|
161 |
+
"learning_rate": 2.2000000000000003e-05,
|
162 |
+
"loss": 0.0547,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.22,
|
167 |
+
"grad_norm": 0.019992610439658165,
|
168 |
+
"learning_rate": 2.3000000000000003e-05,
|
169 |
+
"loss": 0.0011,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.22,
|
174 |
+
"grad_norm": 0.09242820739746094,
|
175 |
+
"learning_rate": 2.4e-05,
|
176 |
+
"loss": 0.0012,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.23,
|
181 |
+
"grad_norm": 0.01790749281644821,
|
182 |
+
"learning_rate": 2.5e-05,
|
183 |
+
"loss": 0.0803,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.24,
|
188 |
+
"grad_norm": 0.013409961014986038,
|
189 |
+
"learning_rate": 2.6000000000000002e-05,
|
190 |
+
"loss": 0.0633,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.25,
|
195 |
+
"grad_norm": 0.045994311571121216,
|
196 |
+
"learning_rate": 2.7000000000000002e-05,
|
197 |
+
"loss": 0.1399,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.26,
|
202 |
+
"grad_norm": 0.030622974038124084,
|
203 |
+
"learning_rate": 2.8000000000000003e-05,
|
204 |
+
"loss": 0.0015,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.27,
|
209 |
+
"grad_norm": 0.052308339625597,
|
210 |
+
"learning_rate": 2.9e-05,
|
211 |
+
"loss": 0.0852,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.28,
|
216 |
+
"grad_norm": 0.09171419590711594,
|
217 |
+
"learning_rate": 3e-05,
|
218 |
+
"loss": 0.0022,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.29,
|
223 |
+
"grad_norm": 0.024435508996248245,
|
224 |
+
"learning_rate": 3.1e-05,
|
225 |
+
"loss": 0.0859,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.3,
|
230 |
+
"grad_norm": 330.25262451171875,
|
231 |
+
"learning_rate": 3.2000000000000005e-05,
|
232 |
+
"loss": 0.0497,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.31,
|
237 |
+
"grad_norm": 0.021127384155988693,
|
238 |
+
"learning_rate": 3.3e-05,
|
239 |
+
"loss": 0.0818,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.32,
|
244 |
+
"grad_norm": 0.030799318104982376,
|
245 |
+
"learning_rate": 3.4000000000000007e-05,
|
246 |
+
"loss": 0.0009,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.33,
|
251 |
+
"grad_norm": 0.0609976127743721,
|
252 |
+
"learning_rate": 3.5e-05,
|
253 |
+
"loss": 0.0016,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.34,
|
258 |
+
"grad_norm": 0.013851546682417393,
|
259 |
+
"learning_rate": 3.6e-05,
|
260 |
+
"loss": 0.2128,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.35,
|
265 |
+
"grad_norm": 0.012113348580896854,
|
266 |
+
"learning_rate": 3.7e-05,
|
267 |
+
"loss": 0.119,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.36,
|
272 |
+
"grad_norm": 0.0172914806753397,
|
273 |
+
"learning_rate": 3.8e-05,
|
274 |
+
"loss": 0.2769,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.37,
|
279 |
+
"grad_norm": 0.047122351825237274,
|
280 |
+
"learning_rate": 3.9000000000000006e-05,
|
281 |
+
"loss": 0.0015,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.37,
|
286 |
+
"grad_norm": 0.029489964246749878,
|
287 |
+
"learning_rate": 4e-05,
|
288 |
+
"loss": 0.0019,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.38,
|
293 |
+
"grad_norm": 0.02585042454302311,
|
294 |
+
"learning_rate": 4.1e-05,
|
295 |
+
"loss": 0.0759,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.39,
|
300 |
+
"grad_norm": 0.044562604278326035,
|
301 |
+
"learning_rate": 4.2e-05,
|
302 |
+
"loss": 0.0025,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.4,
|
307 |
+
"grad_norm": 0.14535053074359894,
|
308 |
+
"learning_rate": 4.3e-05,
|
309 |
+
"loss": 0.0856,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.41,
|
314 |
+
"grad_norm": 14.468594551086426,
|
315 |
+
"learning_rate": 4.4000000000000006e-05,
|
316 |
+
"loss": 0.1576,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.42,
|
321 |
+
"grad_norm": 3.1556191444396973,
|
322 |
+
"learning_rate": 4.5e-05,
|
323 |
+
"loss": 0.1671,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.43,
|
328 |
+
"grad_norm": 3.5952117443084717,
|
329 |
+
"learning_rate": 4.600000000000001e-05,
|
330 |
+
"loss": 0.1422,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.44,
|
335 |
+
"grad_norm": 0.10417389869689941,
|
336 |
+
"learning_rate": 4.7e-05,
|
337 |
+
"loss": 0.0705,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.45,
|
342 |
+
"grad_norm": 24.245695114135742,
|
343 |
+
"learning_rate": 4.8e-05,
|
344 |
+
"loss": 0.0586,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.46,
|
349 |
+
"grad_norm": 0.6337321400642395,
|
350 |
+
"learning_rate": 4.9e-05,
|
351 |
+
"loss": 0.1252,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.47,
|
356 |
+
"grad_norm": 62.256656646728516,
|
357 |
+
"learning_rate": 5e-05,
|
358 |
+
"loss": 0.1297,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.48,
|
363 |
+
"grad_norm": 0.2806699573993683,
|
364 |
+
"learning_rate": 4.9896587383660806e-05,
|
365 |
+
"loss": 0.1789,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.49,
|
370 |
+
"grad_norm": 0.05291756987571716,
|
371 |
+
"learning_rate": 4.9793174767321616e-05,
|
372 |
+
"loss": 0.1434,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.5,
|
377 |
+
"grad_norm": 0.12910176813602448,
|
378 |
+
"learning_rate": 4.968976215098242e-05,
|
379 |
+
"loss": 0.2909,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.51,
|
384 |
+
"grad_norm": 9.672201156616211,
|
385 |
+
"learning_rate": 4.958634953464323e-05,
|
386 |
+
"loss": 0.178,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.52,
|
391 |
+
"grad_norm": 0.1485089659690857,
|
392 |
+
"learning_rate": 4.948293691830403e-05,
|
393 |
+
"loss": 0.0731,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.52,
|
398 |
+
"grad_norm": 0.11018037796020508,
|
399 |
+
"learning_rate": 4.937952430196484e-05,
|
400 |
+
"loss": 0.1337,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.53,
|
405 |
+
"grad_norm": 0.047798193991184235,
|
406 |
+
"learning_rate": 4.9276111685625646e-05,
|
407 |
+
"loss": 0.0028,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.54,
|
412 |
+
"grad_norm": 3.2003190517425537,
|
413 |
+
"learning_rate": 4.9172699069286456e-05,
|
414 |
+
"loss": 0.2401,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.55,
|
419 |
+
"grad_norm": 0.033508703112602234,
|
420 |
+
"learning_rate": 4.906928645294726e-05,
|
421 |
+
"loss": 0.057,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.56,
|
426 |
+
"grad_norm": 0.07519116997718811,
|
427 |
+
"learning_rate": 4.896587383660807e-05,
|
428 |
+
"loss": 0.1506,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.57,
|
433 |
+
"grad_norm": 0.10883668810129166,
|
434 |
+
"learning_rate": 4.886246122026887e-05,
|
435 |
+
"loss": 0.0799,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.58,
|
440 |
+
"grad_norm": 3.15360689163208,
|
441 |
+
"learning_rate": 4.8759048603929683e-05,
|
442 |
+
"loss": 0.0904,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.59,
|
447 |
+
"grad_norm": 2.191103219985962,
|
448 |
+
"learning_rate": 4.865563598759049e-05,
|
449 |
+
"loss": 0.0639,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.6,
|
454 |
+
"grad_norm": 0.05860808119177818,
|
455 |
+
"learning_rate": 4.855222337125129e-05,
|
456 |
+
"loss": 0.2293,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.61,
|
461 |
+
"grad_norm": 180.98397827148438,
|
462 |
+
"learning_rate": 4.84488107549121e-05,
|
463 |
+
"loss": 0.1808,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.62,
|
468 |
+
"grad_norm": 127.35352325439453,
|
469 |
+
"learning_rate": 4.8345398138572904e-05,
|
470 |
+
"loss": 0.1102,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.63,
|
475 |
+
"grad_norm": 0.03393542766571045,
|
476 |
+
"learning_rate": 4.8241985522233714e-05,
|
477 |
+
"loss": 0.2701,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.64,
|
482 |
+
"grad_norm": 0.3284960985183716,
|
483 |
+
"learning_rate": 4.813857290589452e-05,
|
484 |
+
"loss": 0.0668,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.65,
|
489 |
+
"grad_norm": 0.05796672776341438,
|
490 |
+
"learning_rate": 4.803516028955533e-05,
|
491 |
+
"loss": 0.1625,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.66,
|
496 |
+
"grad_norm": 0.607434093952179,
|
497 |
+
"learning_rate": 4.793174767321613e-05,
|
498 |
+
"loss": 0.3021,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.67,
|
503 |
+
"grad_norm": 0.1597072184085846,
|
504 |
+
"learning_rate": 4.782833505687694e-05,
|
505 |
+
"loss": 0.1627,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.67,
|
510 |
+
"grad_norm": 0.0897730141878128,
|
511 |
+
"learning_rate": 4.772492244053775e-05,
|
512 |
+
"loss": 0.1379,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.68,
|
517 |
+
"grad_norm": 70.59358978271484,
|
518 |
+
"learning_rate": 4.7621509824198554e-05,
|
519 |
+
"loss": 0.571,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.69,
|
524 |
+
"grad_norm": 7.284711837768555,
|
525 |
+
"learning_rate": 4.7518097207859365e-05,
|
526 |
+
"loss": 0.4225,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.7,
|
531 |
+
"grad_norm": 1.0496598482131958,
|
532 |
+
"learning_rate": 4.741468459152017e-05,
|
533 |
+
"loss": 0.0981,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.71,
|
538 |
+
"grad_norm": 0.06985878944396973,
|
539 |
+
"learning_rate": 4.731127197518098e-05,
|
540 |
+
"loss": 0.1593,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.72,
|
545 |
+
"grad_norm": 3.0135066509246826,
|
546 |
+
"learning_rate": 4.720785935884178e-05,
|
547 |
+
"loss": 0.3379,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.73,
|
552 |
+
"grad_norm": 0.7335708141326904,
|
553 |
+
"learning_rate": 4.710444674250259e-05,
|
554 |
+
"loss": 0.4362,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.74,
|
559 |
+
"grad_norm": 47.25736618041992,
|
560 |
+
"learning_rate": 4.7001034126163395e-05,
|
561 |
+
"loss": 0.3113,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.75,
|
566 |
+
"grad_norm": 0.23570404946804047,
|
567 |
+
"learning_rate": 4.6897621509824205e-05,
|
568 |
+
"loss": 0.2591,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.76,
|
573 |
+
"grad_norm": 1.6712744235992432,
|
574 |
+
"learning_rate": 4.679420889348501e-05,
|
575 |
+
"loss": 0.3156,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.77,
|
580 |
+
"grad_norm": 3.803595781326294,
|
581 |
+
"learning_rate": 4.669079627714581e-05,
|
582 |
+
"loss": 0.2374,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.78,
|
587 |
+
"grad_norm": 0.053344208747148514,
|
588 |
+
"learning_rate": 4.658738366080662e-05,
|
589 |
+
"loss": 0.0993,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.79,
|
594 |
+
"grad_norm": 0.0863012745976448,
|
595 |
+
"learning_rate": 4.6483971044467425e-05,
|
596 |
+
"loss": 0.2164,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.8,
|
601 |
+
"grad_norm": 50.73778533935547,
|
602 |
+
"learning_rate": 4.6380558428128236e-05,
|
603 |
+
"loss": 0.7427,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.81,
|
608 |
+
"grad_norm": 1.3867453336715698,
|
609 |
+
"learning_rate": 4.627714581178904e-05,
|
610 |
+
"loss": 0.4358,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.82,
|
615 |
+
"grad_norm": 2.2237284183502197,
|
616 |
+
"learning_rate": 4.617373319544985e-05,
|
617 |
+
"loss": 0.1522,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.82,
|
622 |
+
"grad_norm": 189.51943969726562,
|
623 |
+
"learning_rate": 4.607032057911065e-05,
|
624 |
+
"loss": 0.3018,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.83,
|
629 |
+
"grad_norm": 76.69792938232422,
|
630 |
+
"learning_rate": 4.596690796277146e-05,
|
631 |
+
"loss": 0.4078,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.84,
|
636 |
+
"grad_norm": 11.872729301452637,
|
637 |
+
"learning_rate": 4.5863495346432266e-05,
|
638 |
+
"loss": 0.3047,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.85,
|
643 |
+
"grad_norm": 2.8548457622528076,
|
644 |
+
"learning_rate": 4.5760082730093076e-05,
|
645 |
+
"loss": 0.5353,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.86,
|
650 |
+
"grad_norm": 1.8873672485351562,
|
651 |
+
"learning_rate": 4.565667011375388e-05,
|
652 |
+
"loss": 0.1907,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.87,
|
657 |
+
"grad_norm": 0.31615641713142395,
|
658 |
+
"learning_rate": 4.555325749741469e-05,
|
659 |
+
"loss": 0.0634,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.88,
|
664 |
+
"grad_norm": 44.98077392578125,
|
665 |
+
"learning_rate": 4.544984488107549e-05,
|
666 |
+
"loss": 0.2581,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.89,
|
671 |
+
"grad_norm": 0.426419734954834,
|
672 |
+
"learning_rate": 4.5346432264736296e-05,
|
673 |
+
"loss": 0.4992,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.9,
|
678 |
+
"grad_norm": 0.7562969923019409,
|
679 |
+
"learning_rate": 4.5243019648397106e-05,
|
680 |
+
"loss": 0.3383,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.91,
|
685 |
+
"grad_norm": 0.20380929112434387,
|
686 |
+
"learning_rate": 4.513960703205791e-05,
|
687 |
+
"loss": 0.1892,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.92,
|
692 |
+
"grad_norm": 2.884596586227417,
|
693 |
+
"learning_rate": 4.503619441571872e-05,
|
694 |
+
"loss": 0.3536,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.93,
|
699 |
+
"grad_norm": 14.720122337341309,
|
700 |
+
"learning_rate": 4.493278179937952e-05,
|
701 |
+
"loss": 0.4856,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.94,
|
706 |
+
"grad_norm": 0.2174040526151657,
|
707 |
+
"learning_rate": 4.4829369183040333e-05,
|
708 |
+
"loss": 0.1159,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.95,
|
713 |
+
"grad_norm": 0.5567955374717712,
|
714 |
+
"learning_rate": 4.472595656670114e-05,
|
715 |
+
"loss": 0.5414,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.96,
|
720 |
+
"grad_norm": 0.8856528997421265,
|
721 |
+
"learning_rate": 4.462254395036195e-05,
|
722 |
+
"loss": 0.2257,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.97,
|
727 |
+
"grad_norm": 0.36583012342453003,
|
728 |
+
"learning_rate": 4.451913133402275e-05,
|
729 |
+
"loss": 0.0835,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.97,
|
734 |
+
"grad_norm": 2.9916436672210693,
|
735 |
+
"learning_rate": 4.441571871768356e-05,
|
736 |
+
"loss": 0.2258,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.98,
|
741 |
+
"grad_norm": 0.16345125436782837,
|
742 |
+
"learning_rate": 4.4312306101344364e-05,
|
743 |
+
"loss": 0.2466,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.99,
|
748 |
+
"grad_norm": 0.1895245909690857,
|
749 |
+
"learning_rate": 4.420889348500517e-05,
|
750 |
+
"loss": 0.4954,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.0,
|
755 |
+
"eval_accuracy": 0.8030018761726079,
|
756 |
+
"eval_f1": 0.8080438756855576,
|
757 |
+
"eval_loss": 0.7780232429504395,
|
758 |
+
"eval_precision": 0.7864768683274022,
|
759 |
+
"eval_recall": 0.8308270676691729,
|
760 |
+
"eval_runtime": 1.4434,
|
761 |
+
"eval_samples_per_second": 369.265,
|
762 |
+
"eval_steps_per_second": 46.418,
|
763 |
+
"step": 1067
|
764 |
+
}
|
765 |
+
],
|
766 |
+
"logging_steps": 10,
|
767 |
+
"max_steps": 5335,
|
768 |
+
"num_input_tokens_seen": 0,
|
769 |
+
"num_train_epochs": 5,
|
770 |
+
"save_steps": 500,
|
771 |
+
"total_flos": 350677703472000.0,
|
772 |
+
"train_batch_size": 8,
|
773 |
+
"trial_name": null,
|
774 |
+
"trial_params": null
|
775 |
+
}
|
tmp-checkpoint-1067/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:845e2d48921e73f25ae02136aa40e96ecac5011c603a274ba4507a46d1806916
|
3 |
+
size 4984
|
tmp-checkpoint-5335/config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "roberta-base",
|
3 |
+
"architectures": [
|
4 |
+
"RobertaForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"bos_token_id": 0,
|
8 |
+
"classifier_dropout": null,
|
9 |
+
"eos_token_id": 2,
|
10 |
+
"hidden_act": "gelu",
|
11 |
+
"hidden_dropout_prob": 0.1,
|
12 |
+
"hidden_size": 768,
|
13 |
+
"id2label": {
|
14 |
+
"0": "neg",
|
15 |
+
"1": "pos"
|
16 |
+
},
|
17 |
+
"initializer_range": 0.02,
|
18 |
+
"intermediate_size": 3072,
|
19 |
+
"layer_norm_eps": 1e-05,
|
20 |
+
"max_position_embeddings": 514,
|
21 |
+
"model_type": "roberta",
|
22 |
+
"num_attention_heads": 12,
|
23 |
+
"num_hidden_layers": 12,
|
24 |
+
"pad_token_id": 1,
|
25 |
+
"position_embedding_type": "absolute",
|
26 |
+
"problem_type": "single_label_classification",
|
27 |
+
"torch_dtype": "float32",
|
28 |
+
"transformers_version": "4.38.2",
|
29 |
+
"type_vocab_size": 1,
|
30 |
+
"use_cache": true,
|
31 |
+
"vocab_size": 50265
|
32 |
+
}
|
tmp-checkpoint-5335/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e67f896e8cbfa1f0d805804546478e28e3efa999578716e7c1023bcec72e750a
|
3 |
+
size 498612824
|
tmp-checkpoint-5335/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f20a4eee54d9a2b59194a4254989aa19711f9228074bec54d8f543e2820d3d74
|
3 |
+
size 997345530
|
tmp-checkpoint-5335/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8ddb0ff9a10358fb591bb85ce5679f7ec7cf2ed23c4b0ca93a659c9f4ad7476a
|
3 |
+
size 14244
|
tmp-checkpoint-5335/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d853e56321f1267d767a3b750ac3b8bb40cf66f3f684730778d2e9dbe473afd8
|
3 |
+
size 1064
|
tmp-checkpoint-5335/trainer_state.json
ADDED
@@ -0,0 +1,3812 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.3931359052658081,
|
3 |
+
"best_model_checkpoint": "MarkKisker/RoBERTa-base-RottenTomatoes_v2\\checkpoint-2134",
|
4 |
+
"epoch": 5.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 5335,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.01,
|
13 |
+
"grad_norm": 3.744861602783203,
|
14 |
+
"learning_rate": 1.0000000000000002e-06,
|
15 |
+
"loss": 0.7101,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.02,
|
20 |
+
"grad_norm": 4.64638090133667,
|
21 |
+
"learning_rate": 2.0000000000000003e-06,
|
22 |
+
"loss": 0.7158,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.03,
|
27 |
+
"grad_norm": 1.5597444772720337,
|
28 |
+
"learning_rate": 3e-06,
|
29 |
+
"loss": 0.6905,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.04,
|
34 |
+
"grad_norm": 2.208892345428467,
|
35 |
+
"learning_rate": 4.000000000000001e-06,
|
36 |
+
"loss": 0.6901,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.05,
|
41 |
+
"grad_norm": 4.314438819885254,
|
42 |
+
"learning_rate": 5e-06,
|
43 |
+
"loss": 0.6825,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.06,
|
48 |
+
"grad_norm": 3.1201136112213135,
|
49 |
+
"learning_rate": 6e-06,
|
50 |
+
"loss": 0.7093,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.07,
|
55 |
+
"grad_norm": 1.3445158004760742,
|
56 |
+
"learning_rate": 7.000000000000001e-06,
|
57 |
+
"loss": 0.691,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.07,
|
62 |
+
"grad_norm": 2.153444766998291,
|
63 |
+
"learning_rate": 8.000000000000001e-06,
|
64 |
+
"loss": 0.7013,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.08,
|
69 |
+
"grad_norm": 1.514472246170044,
|
70 |
+
"learning_rate": 9e-06,
|
71 |
+
"loss": 0.6843,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.09,
|
76 |
+
"grad_norm": 7.173806190490723,
|
77 |
+
"learning_rate": 1e-05,
|
78 |
+
"loss": 0.6641,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.1,
|
83 |
+
"grad_norm": 11.494062423706055,
|
84 |
+
"learning_rate": 1.1000000000000001e-05,
|
85 |
+
"loss": 0.5903,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.11,
|
90 |
+
"grad_norm": 28.968042373657227,
|
91 |
+
"learning_rate": 1.2e-05,
|
92 |
+
"loss": 0.4994,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.12,
|
97 |
+
"grad_norm": 44.565860748291016,
|
98 |
+
"learning_rate": 1.3000000000000001e-05,
|
99 |
+
"loss": 0.4509,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.13,
|
104 |
+
"grad_norm": 28.26981544494629,
|
105 |
+
"learning_rate": 1.4000000000000001e-05,
|
106 |
+
"loss": 0.4284,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.14,
|
111 |
+
"grad_norm": 8.198760032653809,
|
112 |
+
"learning_rate": 1.5e-05,
|
113 |
+
"loss": 0.4876,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.15,
|
118 |
+
"grad_norm": 50.528987884521484,
|
119 |
+
"learning_rate": 1.6000000000000003e-05,
|
120 |
+
"loss": 0.4672,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.16,
|
125 |
+
"grad_norm": 16.226484298706055,
|
126 |
+
"learning_rate": 1.7000000000000003e-05,
|
127 |
+
"loss": 0.6434,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.17,
|
132 |
+
"grad_norm": 14.364855766296387,
|
133 |
+
"learning_rate": 1.8e-05,
|
134 |
+
"loss": 0.5164,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.18,
|
139 |
+
"grad_norm": 7.223922252655029,
|
140 |
+
"learning_rate": 1.9e-05,
|
141 |
+
"loss": 0.4885,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.19,
|
146 |
+
"grad_norm": 8.672370910644531,
|
147 |
+
"learning_rate": 2e-05,
|
148 |
+
"loss": 0.4994,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.2,
|
153 |
+
"grad_norm": 52.54035949707031,
|
154 |
+
"learning_rate": 2.1e-05,
|
155 |
+
"loss": 0.462,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.21,
|
160 |
+
"grad_norm": 0.855399489402771,
|
161 |
+
"learning_rate": 2.2000000000000003e-05,
|
162 |
+
"loss": 0.217,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.22,
|
167 |
+
"grad_norm": 66.37751007080078,
|
168 |
+
"learning_rate": 2.3000000000000003e-05,
|
169 |
+
"loss": 0.6573,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.22,
|
174 |
+
"grad_norm": 6.453437805175781,
|
175 |
+
"learning_rate": 2.4e-05,
|
176 |
+
"loss": 0.5052,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.23,
|
181 |
+
"grad_norm": 7.456045627593994,
|
182 |
+
"learning_rate": 2.5e-05,
|
183 |
+
"loss": 0.3942,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.24,
|
188 |
+
"grad_norm": 16.87609100341797,
|
189 |
+
"learning_rate": 2.6000000000000002e-05,
|
190 |
+
"loss": 0.4712,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.25,
|
195 |
+
"grad_norm": 22.84710693359375,
|
196 |
+
"learning_rate": 2.7000000000000002e-05,
|
197 |
+
"loss": 0.4618,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.26,
|
202 |
+
"grad_norm": 1.8799303770065308,
|
203 |
+
"learning_rate": 2.8000000000000003e-05,
|
204 |
+
"loss": 0.59,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.27,
|
209 |
+
"grad_norm": 80.71158599853516,
|
210 |
+
"learning_rate": 2.9e-05,
|
211 |
+
"loss": 0.392,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.28,
|
216 |
+
"grad_norm": 2.51127290725708,
|
217 |
+
"learning_rate": 3e-05,
|
218 |
+
"loss": 0.4768,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.29,
|
223 |
+
"grad_norm": 4.434652805328369,
|
224 |
+
"learning_rate": 3.1e-05,
|
225 |
+
"loss": 0.3732,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.3,
|
230 |
+
"grad_norm": 12.18094253540039,
|
231 |
+
"learning_rate": 3.2000000000000005e-05,
|
232 |
+
"loss": 0.4689,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.31,
|
237 |
+
"grad_norm": 22.681018829345703,
|
238 |
+
"learning_rate": 3.3e-05,
|
239 |
+
"loss": 0.4172,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.32,
|
244 |
+
"grad_norm": 12.466619491577148,
|
245 |
+
"learning_rate": 3.4000000000000007e-05,
|
246 |
+
"loss": 0.4661,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.33,
|
251 |
+
"grad_norm": 7.371677398681641,
|
252 |
+
"learning_rate": 3.5e-05,
|
253 |
+
"loss": 0.3976,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.34,
|
258 |
+
"grad_norm": 4.3304595947265625,
|
259 |
+
"learning_rate": 3.6e-05,
|
260 |
+
"loss": 0.6109,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.35,
|
265 |
+
"grad_norm": 165.4158172607422,
|
266 |
+
"learning_rate": 3.7e-05,
|
267 |
+
"loss": 0.3678,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.36,
|
272 |
+
"grad_norm": 4.8646016120910645,
|
273 |
+
"learning_rate": 3.8e-05,
|
274 |
+
"loss": 0.6374,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.37,
|
279 |
+
"grad_norm": 1.7399684190750122,
|
280 |
+
"learning_rate": 3.9000000000000006e-05,
|
281 |
+
"loss": 0.4887,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.37,
|
286 |
+
"grad_norm": 16.256572723388672,
|
287 |
+
"learning_rate": 4e-05,
|
288 |
+
"loss": 0.5702,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.38,
|
293 |
+
"grad_norm": 45.110679626464844,
|
294 |
+
"learning_rate": 4.1e-05,
|
295 |
+
"loss": 0.5779,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.39,
|
300 |
+
"grad_norm": 10.500941276550293,
|
301 |
+
"learning_rate": 4.2e-05,
|
302 |
+
"loss": 0.6049,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.4,
|
307 |
+
"grad_norm": 46.1656494140625,
|
308 |
+
"learning_rate": 4.3e-05,
|
309 |
+
"loss": 0.5598,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.41,
|
314 |
+
"grad_norm": 11.01528549194336,
|
315 |
+
"learning_rate": 4.4000000000000006e-05,
|
316 |
+
"loss": 0.4441,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.42,
|
321 |
+
"grad_norm": 11.193294525146484,
|
322 |
+
"learning_rate": 4.5e-05,
|
323 |
+
"loss": 0.5585,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.43,
|
328 |
+
"grad_norm": 18.2698917388916,
|
329 |
+
"learning_rate": 4.600000000000001e-05,
|
330 |
+
"loss": 0.4241,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.44,
|
335 |
+
"grad_norm": 166.50296020507812,
|
336 |
+
"learning_rate": 4.7e-05,
|
337 |
+
"loss": 0.3354,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.45,
|
342 |
+
"grad_norm": 128.95260620117188,
|
343 |
+
"learning_rate": 4.8e-05,
|
344 |
+
"loss": 0.5357,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.46,
|
349 |
+
"grad_norm": 5.128959655761719,
|
350 |
+
"learning_rate": 4.9e-05,
|
351 |
+
"loss": 0.4072,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.47,
|
356 |
+
"grad_norm": 3.268726348876953,
|
357 |
+
"learning_rate": 5e-05,
|
358 |
+
"loss": 0.474,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.48,
|
363 |
+
"grad_norm": 37.61716842651367,
|
364 |
+
"learning_rate": 4.9896587383660806e-05,
|
365 |
+
"loss": 0.6837,
|
366 |
+
"step": 510
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.49,
|
370 |
+
"grad_norm": 5.7842302322387695,
|
371 |
+
"learning_rate": 4.9793174767321616e-05,
|
372 |
+
"loss": 0.4518,
|
373 |
+
"step": 520
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 0.5,
|
377 |
+
"grad_norm": 17.824024200439453,
|
378 |
+
"learning_rate": 4.968976215098242e-05,
|
379 |
+
"loss": 0.5325,
|
380 |
+
"step": 530
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.51,
|
384 |
+
"grad_norm": 13.727099418640137,
|
385 |
+
"learning_rate": 4.958634953464323e-05,
|
386 |
+
"loss": 0.4236,
|
387 |
+
"step": 540
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 0.52,
|
391 |
+
"grad_norm": 11.013121604919434,
|
392 |
+
"learning_rate": 4.948293691830403e-05,
|
393 |
+
"loss": 0.3925,
|
394 |
+
"step": 550
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 0.52,
|
398 |
+
"grad_norm": 10.758121490478516,
|
399 |
+
"learning_rate": 4.937952430196484e-05,
|
400 |
+
"loss": 0.4354,
|
401 |
+
"step": 560
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 0.53,
|
405 |
+
"grad_norm": 63.49281692504883,
|
406 |
+
"learning_rate": 4.9276111685625646e-05,
|
407 |
+
"loss": 0.456,
|
408 |
+
"step": 570
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 0.54,
|
412 |
+
"grad_norm": 14.087475776672363,
|
413 |
+
"learning_rate": 4.9172699069286456e-05,
|
414 |
+
"loss": 0.514,
|
415 |
+
"step": 580
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 0.55,
|
419 |
+
"grad_norm": 2.470353841781616,
|
420 |
+
"learning_rate": 4.906928645294726e-05,
|
421 |
+
"loss": 0.5102,
|
422 |
+
"step": 590
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.56,
|
426 |
+
"grad_norm": 43.60289001464844,
|
427 |
+
"learning_rate": 4.896587383660807e-05,
|
428 |
+
"loss": 0.4577,
|
429 |
+
"step": 600
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 0.57,
|
433 |
+
"grad_norm": 13.848435401916504,
|
434 |
+
"learning_rate": 4.886246122026887e-05,
|
435 |
+
"loss": 0.3769,
|
436 |
+
"step": 610
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 0.58,
|
440 |
+
"grad_norm": 85.09272003173828,
|
441 |
+
"learning_rate": 4.8759048603929683e-05,
|
442 |
+
"loss": 0.4745,
|
443 |
+
"step": 620
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 0.59,
|
447 |
+
"grad_norm": 2.0452070236206055,
|
448 |
+
"learning_rate": 4.865563598759049e-05,
|
449 |
+
"loss": 0.3618,
|
450 |
+
"step": 630
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 0.6,
|
454 |
+
"grad_norm": 5.641032695770264,
|
455 |
+
"learning_rate": 4.855222337125129e-05,
|
456 |
+
"loss": 0.5703,
|
457 |
+
"step": 640
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.61,
|
461 |
+
"grad_norm": 19.266847610473633,
|
462 |
+
"learning_rate": 4.84488107549121e-05,
|
463 |
+
"loss": 0.5826,
|
464 |
+
"step": 650
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.62,
|
468 |
+
"grad_norm": 73.6524658203125,
|
469 |
+
"learning_rate": 4.8345398138572904e-05,
|
470 |
+
"loss": 0.5455,
|
471 |
+
"step": 660
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.63,
|
475 |
+
"grad_norm": 1.602294683456421,
|
476 |
+
"learning_rate": 4.8241985522233714e-05,
|
477 |
+
"loss": 0.5497,
|
478 |
+
"step": 670
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.64,
|
482 |
+
"grad_norm": 22.117345809936523,
|
483 |
+
"learning_rate": 4.813857290589452e-05,
|
484 |
+
"loss": 0.4378,
|
485 |
+
"step": 680
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.65,
|
489 |
+
"grad_norm": 110.3412094116211,
|
490 |
+
"learning_rate": 4.803516028955533e-05,
|
491 |
+
"loss": 0.4393,
|
492 |
+
"step": 690
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.66,
|
496 |
+
"grad_norm": 3.794416904449463,
|
497 |
+
"learning_rate": 4.793174767321613e-05,
|
498 |
+
"loss": 0.5334,
|
499 |
+
"step": 700
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.67,
|
503 |
+
"grad_norm": 21.734609603881836,
|
504 |
+
"learning_rate": 4.782833505687694e-05,
|
505 |
+
"loss": 0.5833,
|
506 |
+
"step": 710
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.67,
|
510 |
+
"grad_norm": 15.466120719909668,
|
511 |
+
"learning_rate": 4.772492244053775e-05,
|
512 |
+
"loss": 0.6138,
|
513 |
+
"step": 720
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.68,
|
517 |
+
"grad_norm": 15.851093292236328,
|
518 |
+
"learning_rate": 4.7621509824198554e-05,
|
519 |
+
"loss": 0.474,
|
520 |
+
"step": 730
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.69,
|
524 |
+
"grad_norm": 11.810195922851562,
|
525 |
+
"learning_rate": 4.7518097207859365e-05,
|
526 |
+
"loss": 0.5048,
|
527 |
+
"step": 740
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.7,
|
531 |
+
"grad_norm": 7.658618450164795,
|
532 |
+
"learning_rate": 4.741468459152017e-05,
|
533 |
+
"loss": 0.3721,
|
534 |
+
"step": 750
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.71,
|
538 |
+
"grad_norm": 5.516314506530762,
|
539 |
+
"learning_rate": 4.731127197518098e-05,
|
540 |
+
"loss": 0.4057,
|
541 |
+
"step": 760
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.72,
|
545 |
+
"grad_norm": 29.502197265625,
|
546 |
+
"learning_rate": 4.720785935884178e-05,
|
547 |
+
"loss": 0.4228,
|
548 |
+
"step": 770
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.73,
|
552 |
+
"grad_norm": 5.364101409912109,
|
553 |
+
"learning_rate": 4.710444674250259e-05,
|
554 |
+
"loss": 0.6065,
|
555 |
+
"step": 780
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.74,
|
559 |
+
"grad_norm": 3.6527419090270996,
|
560 |
+
"learning_rate": 4.7001034126163395e-05,
|
561 |
+
"loss": 0.4702,
|
562 |
+
"step": 790
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.75,
|
566 |
+
"grad_norm": 234.80238342285156,
|
567 |
+
"learning_rate": 4.6897621509824205e-05,
|
568 |
+
"loss": 0.4136,
|
569 |
+
"step": 800
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.76,
|
573 |
+
"grad_norm": 3.4541990756988525,
|
574 |
+
"learning_rate": 4.679420889348501e-05,
|
575 |
+
"loss": 0.4633,
|
576 |
+
"step": 810
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.77,
|
580 |
+
"grad_norm": 10.891709327697754,
|
581 |
+
"learning_rate": 4.669079627714581e-05,
|
582 |
+
"loss": 0.4773,
|
583 |
+
"step": 820
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.78,
|
587 |
+
"grad_norm": 2.062467575073242,
|
588 |
+
"learning_rate": 4.658738366080662e-05,
|
589 |
+
"loss": 0.4229,
|
590 |
+
"step": 830
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.79,
|
594 |
+
"grad_norm": 1.5813032388687134,
|
595 |
+
"learning_rate": 4.6483971044467425e-05,
|
596 |
+
"loss": 0.4163,
|
597 |
+
"step": 840
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.8,
|
601 |
+
"grad_norm": 2.950200080871582,
|
602 |
+
"learning_rate": 4.6380558428128236e-05,
|
603 |
+
"loss": 0.4312,
|
604 |
+
"step": 850
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.81,
|
608 |
+
"grad_norm": 15.027694702148438,
|
609 |
+
"learning_rate": 4.627714581178904e-05,
|
610 |
+
"loss": 0.4475,
|
611 |
+
"step": 860
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.82,
|
615 |
+
"grad_norm": 6.54260778427124,
|
616 |
+
"learning_rate": 4.617373319544985e-05,
|
617 |
+
"loss": 0.4871,
|
618 |
+
"step": 870
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.82,
|
622 |
+
"grad_norm": 40.894622802734375,
|
623 |
+
"learning_rate": 4.607032057911065e-05,
|
624 |
+
"loss": 0.7644,
|
625 |
+
"step": 880
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.83,
|
629 |
+
"grad_norm": 40.53754425048828,
|
630 |
+
"learning_rate": 4.596690796277146e-05,
|
631 |
+
"loss": 0.6225,
|
632 |
+
"step": 890
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.84,
|
636 |
+
"grad_norm": 2.118955373764038,
|
637 |
+
"learning_rate": 4.5863495346432266e-05,
|
638 |
+
"loss": 0.38,
|
639 |
+
"step": 900
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.85,
|
643 |
+
"grad_norm": 4.862216472625732,
|
644 |
+
"learning_rate": 4.5760082730093076e-05,
|
645 |
+
"loss": 0.4339,
|
646 |
+
"step": 910
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.86,
|
650 |
+
"grad_norm": 32.316802978515625,
|
651 |
+
"learning_rate": 4.565667011375388e-05,
|
652 |
+
"loss": 0.6216,
|
653 |
+
"step": 920
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.87,
|
657 |
+
"grad_norm": 8.157034873962402,
|
658 |
+
"learning_rate": 4.555325749741469e-05,
|
659 |
+
"loss": 0.3952,
|
660 |
+
"step": 930
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.88,
|
664 |
+
"grad_norm": 34.675384521484375,
|
665 |
+
"learning_rate": 4.544984488107549e-05,
|
666 |
+
"loss": 0.4752,
|
667 |
+
"step": 940
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.89,
|
671 |
+
"grad_norm": 1.4986870288848877,
|
672 |
+
"learning_rate": 4.5346432264736296e-05,
|
673 |
+
"loss": 0.5754,
|
674 |
+
"step": 950
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.9,
|
678 |
+
"grad_norm": 5.362887859344482,
|
679 |
+
"learning_rate": 4.5243019648397106e-05,
|
680 |
+
"loss": 0.4518,
|
681 |
+
"step": 960
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.91,
|
685 |
+
"grad_norm": 8.203104972839355,
|
686 |
+
"learning_rate": 4.513960703205791e-05,
|
687 |
+
"loss": 0.4244,
|
688 |
+
"step": 970
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.92,
|
692 |
+
"grad_norm": 146.74620056152344,
|
693 |
+
"learning_rate": 4.503619441571872e-05,
|
694 |
+
"loss": 0.4484,
|
695 |
+
"step": 980
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.93,
|
699 |
+
"grad_norm": 38.64397048950195,
|
700 |
+
"learning_rate": 4.493278179937952e-05,
|
701 |
+
"loss": 0.5375,
|
702 |
+
"step": 990
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.94,
|
706 |
+
"grad_norm": 9.168529510498047,
|
707 |
+
"learning_rate": 4.4829369183040333e-05,
|
708 |
+
"loss": 0.4305,
|
709 |
+
"step": 1000
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.95,
|
713 |
+
"grad_norm": 11.166984558105469,
|
714 |
+
"learning_rate": 4.472595656670114e-05,
|
715 |
+
"loss": 0.5018,
|
716 |
+
"step": 1010
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.96,
|
720 |
+
"grad_norm": 2.078636646270752,
|
721 |
+
"learning_rate": 4.462254395036195e-05,
|
722 |
+
"loss": 0.5365,
|
723 |
+
"step": 1020
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.97,
|
727 |
+
"grad_norm": 2.5594077110290527,
|
728 |
+
"learning_rate": 4.451913133402275e-05,
|
729 |
+
"loss": 0.2867,
|
730 |
+
"step": 1030
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.97,
|
734 |
+
"grad_norm": 40.97541046142578,
|
735 |
+
"learning_rate": 4.441571871768356e-05,
|
736 |
+
"loss": 0.5615,
|
737 |
+
"step": 1040
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.98,
|
741 |
+
"grad_norm": 5.333548545837402,
|
742 |
+
"learning_rate": 4.4312306101344364e-05,
|
743 |
+
"loss": 0.371,
|
744 |
+
"step": 1050
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.99,
|
748 |
+
"grad_norm": 29.254602432250977,
|
749 |
+
"learning_rate": 4.420889348500517e-05,
|
750 |
+
"loss": 0.7758,
|
751 |
+
"step": 1060
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 1.0,
|
755 |
+
"eval_accuracy": 0.8180112570356473,
|
756 |
+
"eval_f1": 0.831304347826087,
|
757 |
+
"eval_loss": 0.4565158784389496,
|
758 |
+
"eval_precision": 0.7734627831715211,
|
759 |
+
"eval_recall": 0.8984962406015038,
|
760 |
+
"eval_runtime": 1.5762,
|
761 |
+
"eval_samples_per_second": 338.164,
|
762 |
+
"eval_steps_per_second": 42.508,
|
763 |
+
"step": 1067
|
764 |
+
},
|
765 |
+
{
|
766 |
+
"epoch": 1.0,
|
767 |
+
"grad_norm": 4.774388313293457,
|
768 |
+
"learning_rate": 4.410548086866598e-05,
|
769 |
+
"loss": 0.4325,
|
770 |
+
"step": 1070
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 1.01,
|
774 |
+
"grad_norm": 25.7803897857666,
|
775 |
+
"learning_rate": 4.400206825232678e-05,
|
776 |
+
"loss": 0.3303,
|
777 |
+
"step": 1080
|
778 |
+
},
|
779 |
+
{
|
780 |
+
"epoch": 1.02,
|
781 |
+
"grad_norm": 4.480411529541016,
|
782 |
+
"learning_rate": 4.389865563598759e-05,
|
783 |
+
"loss": 0.425,
|
784 |
+
"step": 1090
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 1.03,
|
788 |
+
"grad_norm": 2.4002604484558105,
|
789 |
+
"learning_rate": 4.3795243019648394e-05,
|
790 |
+
"loss": 0.386,
|
791 |
+
"step": 1100
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 1.04,
|
795 |
+
"grad_norm": 61.24464416503906,
|
796 |
+
"learning_rate": 4.369183040330921e-05,
|
797 |
+
"loss": 0.277,
|
798 |
+
"step": 1110
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 1.05,
|
802 |
+
"grad_norm": 25.068614959716797,
|
803 |
+
"learning_rate": 4.3588417786970015e-05,
|
804 |
+
"loss": 0.354,
|
805 |
+
"step": 1120
|
806 |
+
},
|
807 |
+
{
|
808 |
+
"epoch": 1.06,
|
809 |
+
"grad_norm": 1.0058590173721313,
|
810 |
+
"learning_rate": 4.3485005170630825e-05,
|
811 |
+
"loss": 0.3038,
|
812 |
+
"step": 1130
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 1.07,
|
816 |
+
"grad_norm": 408.1586608886719,
|
817 |
+
"learning_rate": 4.338159255429163e-05,
|
818 |
+
"loss": 0.5157,
|
819 |
+
"step": 1140
|
820 |
+
},
|
821 |
+
{
|
822 |
+
"epoch": 1.08,
|
823 |
+
"grad_norm": 6.401839256286621,
|
824 |
+
"learning_rate": 4.327817993795243e-05,
|
825 |
+
"loss": 0.4993,
|
826 |
+
"step": 1150
|
827 |
+
},
|
828 |
+
{
|
829 |
+
"epoch": 1.09,
|
830 |
+
"grad_norm": 6.1133317947387695,
|
831 |
+
"learning_rate": 4.317476732161324e-05,
|
832 |
+
"loss": 0.4571,
|
833 |
+
"step": 1160
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 1.1,
|
837 |
+
"grad_norm": 2.3999035358428955,
|
838 |
+
"learning_rate": 4.3071354705274045e-05,
|
839 |
+
"loss": 0.4561,
|
840 |
+
"step": 1170
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 1.11,
|
844 |
+
"grad_norm": 12.716032028198242,
|
845 |
+
"learning_rate": 4.2967942088934855e-05,
|
846 |
+
"loss": 0.2751,
|
847 |
+
"step": 1180
|
848 |
+
},
|
849 |
+
{
|
850 |
+
"epoch": 1.12,
|
851 |
+
"grad_norm": 36.668941497802734,
|
852 |
+
"learning_rate": 4.286452947259566e-05,
|
853 |
+
"loss": 0.328,
|
854 |
+
"step": 1190
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.12,
|
858 |
+
"grad_norm": 8.840494155883789,
|
859 |
+
"learning_rate": 4.276111685625647e-05,
|
860 |
+
"loss": 0.4708,
|
861 |
+
"step": 1200
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 1.13,
|
865 |
+
"grad_norm": 2.9924654960632324,
|
866 |
+
"learning_rate": 4.265770423991727e-05,
|
867 |
+
"loss": 0.2318,
|
868 |
+
"step": 1210
|
869 |
+
},
|
870 |
+
{
|
871 |
+
"epoch": 1.14,
|
872 |
+
"grad_norm": 0.4895036816596985,
|
873 |
+
"learning_rate": 4.255429162357808e-05,
|
874 |
+
"loss": 0.3037,
|
875 |
+
"step": 1220
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 1.15,
|
879 |
+
"grad_norm": 44.88699722290039,
|
880 |
+
"learning_rate": 4.2450879007238886e-05,
|
881 |
+
"loss": 0.3585,
|
882 |
+
"step": 1230
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 1.16,
|
886 |
+
"grad_norm": 5.701717376708984,
|
887 |
+
"learning_rate": 4.2347466390899696e-05,
|
888 |
+
"loss": 0.5978,
|
889 |
+
"step": 1240
|
890 |
+
},
|
891 |
+
{
|
892 |
+
"epoch": 1.17,
|
893 |
+
"grad_norm": 1.0451136827468872,
|
894 |
+
"learning_rate": 4.22440537745605e-05,
|
895 |
+
"loss": 0.8103,
|
896 |
+
"step": 1250
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 1.18,
|
900 |
+
"grad_norm": 2.085301399230957,
|
901 |
+
"learning_rate": 4.21406411582213e-05,
|
902 |
+
"loss": 0.3038,
|
903 |
+
"step": 1260
|
904 |
+
},
|
905 |
+
{
|
906 |
+
"epoch": 1.19,
|
907 |
+
"grad_norm": 66.31008911132812,
|
908 |
+
"learning_rate": 4.203722854188211e-05,
|
909 |
+
"loss": 0.5508,
|
910 |
+
"step": 1270
|
911 |
+
},
|
912 |
+
{
|
913 |
+
"epoch": 1.2,
|
914 |
+
"grad_norm": 19.349102020263672,
|
915 |
+
"learning_rate": 4.1933815925542916e-05,
|
916 |
+
"loss": 0.2065,
|
917 |
+
"step": 1280
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 1.21,
|
921 |
+
"grad_norm": 2.037997007369995,
|
922 |
+
"learning_rate": 4.1830403309203726e-05,
|
923 |
+
"loss": 0.4177,
|
924 |
+
"step": 1290
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 1.22,
|
928 |
+
"grad_norm": 0.6965357065200806,
|
929 |
+
"learning_rate": 4.172699069286453e-05,
|
930 |
+
"loss": 0.3867,
|
931 |
+
"step": 1300
|
932 |
+
},
|
933 |
+
{
|
934 |
+
"epoch": 1.23,
|
935 |
+
"grad_norm": 0.722122848033905,
|
936 |
+
"learning_rate": 4.162357807652534e-05,
|
937 |
+
"loss": 0.4882,
|
938 |
+
"step": 1310
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 1.24,
|
942 |
+
"grad_norm": 9.377044677734375,
|
943 |
+
"learning_rate": 4.152016546018614e-05,
|
944 |
+
"loss": 0.4661,
|
945 |
+
"step": 1320
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 1.25,
|
949 |
+
"grad_norm": 0.40828177332878113,
|
950 |
+
"learning_rate": 4.141675284384695e-05,
|
951 |
+
"loss": 0.4306,
|
952 |
+
"step": 1330
|
953 |
+
},
|
954 |
+
{
|
955 |
+
"epoch": 1.26,
|
956 |
+
"grad_norm": 4.25218391418457,
|
957 |
+
"learning_rate": 4.1313340227507756e-05,
|
958 |
+
"loss": 0.4858,
|
959 |
+
"step": 1340
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 1.27,
|
963 |
+
"grad_norm": 3.3388795852661133,
|
964 |
+
"learning_rate": 4.1209927611168567e-05,
|
965 |
+
"loss": 0.5039,
|
966 |
+
"step": 1350
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 1.27,
|
970 |
+
"grad_norm": 6.391818523406982,
|
971 |
+
"learning_rate": 4.110651499482937e-05,
|
972 |
+
"loss": 0.4893,
|
973 |
+
"step": 1360
|
974 |
+
},
|
975 |
+
{
|
976 |
+
"epoch": 1.28,
|
977 |
+
"grad_norm": 27.01968765258789,
|
978 |
+
"learning_rate": 4.100310237849018e-05,
|
979 |
+
"loss": 0.4502,
|
980 |
+
"step": 1370
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 1.29,
|
984 |
+
"grad_norm": 29.210132598876953,
|
985 |
+
"learning_rate": 4.0899689762150983e-05,
|
986 |
+
"loss": 0.3657,
|
987 |
+
"step": 1380
|
988 |
+
},
|
989 |
+
{
|
990 |
+
"epoch": 1.3,
|
991 |
+
"grad_norm": 54.26066970825195,
|
992 |
+
"learning_rate": 4.079627714581179e-05,
|
993 |
+
"loss": 0.2958,
|
994 |
+
"step": 1390
|
995 |
+
},
|
996 |
+
{
|
997 |
+
"epoch": 1.31,
|
998 |
+
"grad_norm": 36.26032257080078,
|
999 |
+
"learning_rate": 4.06928645294726e-05,
|
1000 |
+
"loss": 0.2768,
|
1001 |
+
"step": 1400
|
1002 |
+
},
|
1003 |
+
{
|
1004 |
+
"epoch": 1.32,
|
1005 |
+
"grad_norm": 1.0523189306259155,
|
1006 |
+
"learning_rate": 4.05894519131334e-05,
|
1007 |
+
"loss": 0.3634,
|
1008 |
+
"step": 1410
|
1009 |
+
},
|
1010 |
+
{
|
1011 |
+
"epoch": 1.33,
|
1012 |
+
"grad_norm": 191.5191192626953,
|
1013 |
+
"learning_rate": 4.048603929679421e-05,
|
1014 |
+
"loss": 0.3442,
|
1015 |
+
"step": 1420
|
1016 |
+
},
|
1017 |
+
{
|
1018 |
+
"epoch": 1.34,
|
1019 |
+
"grad_norm": 0.6843079924583435,
|
1020 |
+
"learning_rate": 4.0382626680455014e-05,
|
1021 |
+
"loss": 0.4025,
|
1022 |
+
"step": 1430
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 1.35,
|
1026 |
+
"grad_norm": 0.2217019647359848,
|
1027 |
+
"learning_rate": 4.0279214064115824e-05,
|
1028 |
+
"loss": 0.2445,
|
1029 |
+
"step": 1440
|
1030 |
+
},
|
1031 |
+
{
|
1032 |
+
"epoch": 1.36,
|
1033 |
+
"grad_norm": 7.919774055480957,
|
1034 |
+
"learning_rate": 4.017580144777663e-05,
|
1035 |
+
"loss": 0.548,
|
1036 |
+
"step": 1450
|
1037 |
+
},
|
1038 |
+
{
|
1039 |
+
"epoch": 1.37,
|
1040 |
+
"grad_norm": 1.322029709815979,
|
1041 |
+
"learning_rate": 4.007238883143744e-05,
|
1042 |
+
"loss": 0.3518,
|
1043 |
+
"step": 1460
|
1044 |
+
},
|
1045 |
+
{
|
1046 |
+
"epoch": 1.38,
|
1047 |
+
"grad_norm": 0.4105088412761688,
|
1048 |
+
"learning_rate": 3.996897621509824e-05,
|
1049 |
+
"loss": 0.3859,
|
1050 |
+
"step": 1470
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 1.39,
|
1054 |
+
"grad_norm": 0.31217288970947266,
|
1055 |
+
"learning_rate": 3.986556359875905e-05,
|
1056 |
+
"loss": 0.3287,
|
1057 |
+
"step": 1480
|
1058 |
+
},
|
1059 |
+
{
|
1060 |
+
"epoch": 1.4,
|
1061 |
+
"grad_norm": 39.67789077758789,
|
1062 |
+
"learning_rate": 3.9762150982419854e-05,
|
1063 |
+
"loss": 0.4649,
|
1064 |
+
"step": 1490
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 1.41,
|
1068 |
+
"grad_norm": 17.59617042541504,
|
1069 |
+
"learning_rate": 3.965873836608066e-05,
|
1070 |
+
"loss": 0.4667,
|
1071 |
+
"step": 1500
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 1.42,
|
1075 |
+
"grad_norm": 14.470635414123535,
|
1076 |
+
"learning_rate": 3.9555325749741475e-05,
|
1077 |
+
"loss": 0.4061,
|
1078 |
+
"step": 1510
|
1079 |
+
},
|
1080 |
+
{
|
1081 |
+
"epoch": 1.42,
|
1082 |
+
"grad_norm": 62.437618255615234,
|
1083 |
+
"learning_rate": 3.945191313340228e-05,
|
1084 |
+
"loss": 0.466,
|
1085 |
+
"step": 1520
|
1086 |
+
},
|
1087 |
+
{
|
1088 |
+
"epoch": 1.43,
|
1089 |
+
"grad_norm": 23.588979721069336,
|
1090 |
+
"learning_rate": 3.934850051706309e-05,
|
1091 |
+
"loss": 0.3333,
|
1092 |
+
"step": 1530
|
1093 |
+
},
|
1094 |
+
{
|
1095 |
+
"epoch": 1.44,
|
1096 |
+
"grad_norm": 3.491382598876953,
|
1097 |
+
"learning_rate": 3.924508790072389e-05,
|
1098 |
+
"loss": 0.2536,
|
1099 |
+
"step": 1540
|
1100 |
+
},
|
1101 |
+
{
|
1102 |
+
"epoch": 1.45,
|
1103 |
+
"grad_norm": 0.3138933479785919,
|
1104 |
+
"learning_rate": 3.91416752843847e-05,
|
1105 |
+
"loss": 0.3297,
|
1106 |
+
"step": 1550
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 1.46,
|
1110 |
+
"grad_norm": 4.9050211906433105,
|
1111 |
+
"learning_rate": 3.9038262668045505e-05,
|
1112 |
+
"loss": 0.3643,
|
1113 |
+
"step": 1560
|
1114 |
+
},
|
1115 |
+
{
|
1116 |
+
"epoch": 1.47,
|
1117 |
+
"grad_norm": 13.311896324157715,
|
1118 |
+
"learning_rate": 3.8934850051706315e-05,
|
1119 |
+
"loss": 0.2224,
|
1120 |
+
"step": 1570
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 1.48,
|
1124 |
+
"grad_norm": 136.0790252685547,
|
1125 |
+
"learning_rate": 3.883143743536712e-05,
|
1126 |
+
"loss": 0.5125,
|
1127 |
+
"step": 1580
|
1128 |
+
},
|
1129 |
+
{
|
1130 |
+
"epoch": 1.49,
|
1131 |
+
"grad_norm": 1.9536207914352417,
|
1132 |
+
"learning_rate": 3.872802481902792e-05,
|
1133 |
+
"loss": 0.3984,
|
1134 |
+
"step": 1590
|
1135 |
+
},
|
1136 |
+
{
|
1137 |
+
"epoch": 1.5,
|
1138 |
+
"grad_norm": 15.781469345092773,
|
1139 |
+
"learning_rate": 3.862461220268873e-05,
|
1140 |
+
"loss": 0.4071,
|
1141 |
+
"step": 1600
|
1142 |
+
},
|
1143 |
+
{
|
1144 |
+
"epoch": 1.51,
|
1145 |
+
"grad_norm": 4.010928153991699,
|
1146 |
+
"learning_rate": 3.8521199586349535e-05,
|
1147 |
+
"loss": 0.3088,
|
1148 |
+
"step": 1610
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 1.52,
|
1152 |
+
"grad_norm": 15.730233192443848,
|
1153 |
+
"learning_rate": 3.8417786970010346e-05,
|
1154 |
+
"loss": 0.4905,
|
1155 |
+
"step": 1620
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 1.53,
|
1159 |
+
"grad_norm": 18.30491065979004,
|
1160 |
+
"learning_rate": 3.831437435367115e-05,
|
1161 |
+
"loss": 0.366,
|
1162 |
+
"step": 1630
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 1.54,
|
1166 |
+
"grad_norm": 0.39613863825798035,
|
1167 |
+
"learning_rate": 3.821096173733196e-05,
|
1168 |
+
"loss": 0.3205,
|
1169 |
+
"step": 1640
|
1170 |
+
},
|
1171 |
+
{
|
1172 |
+
"epoch": 1.55,
|
1173 |
+
"grad_norm": 51.20091247558594,
|
1174 |
+
"learning_rate": 3.810754912099276e-05,
|
1175 |
+
"loss": 0.5628,
|
1176 |
+
"step": 1650
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 1.56,
|
1180 |
+
"grad_norm": 17.219799041748047,
|
1181 |
+
"learning_rate": 3.800413650465357e-05,
|
1182 |
+
"loss": 0.6222,
|
1183 |
+
"step": 1660
|
1184 |
+
},
|
1185 |
+
{
|
1186 |
+
"epoch": 1.57,
|
1187 |
+
"grad_norm": 41.373634338378906,
|
1188 |
+
"learning_rate": 3.7900723888314376e-05,
|
1189 |
+
"loss": 0.293,
|
1190 |
+
"step": 1670
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 1.57,
|
1194 |
+
"grad_norm": 77.48905181884766,
|
1195 |
+
"learning_rate": 3.7797311271975186e-05,
|
1196 |
+
"loss": 0.3165,
|
1197 |
+
"step": 1680
|
1198 |
+
},
|
1199 |
+
{
|
1200 |
+
"epoch": 1.58,
|
1201 |
+
"grad_norm": 94.227783203125,
|
1202 |
+
"learning_rate": 3.769389865563599e-05,
|
1203 |
+
"loss": 0.455,
|
1204 |
+
"step": 1690
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"epoch": 1.59,
|
1208 |
+
"grad_norm": 21.350830078125,
|
1209 |
+
"learning_rate": 3.759048603929679e-05,
|
1210 |
+
"loss": 0.4369,
|
1211 |
+
"step": 1700
|
1212 |
+
},
|
1213 |
+
{
|
1214 |
+
"epoch": 1.6,
|
1215 |
+
"grad_norm": 17.99802589416504,
|
1216 |
+
"learning_rate": 3.74870734229576e-05,
|
1217 |
+
"loss": 0.4513,
|
1218 |
+
"step": 1710
|
1219 |
+
},
|
1220 |
+
{
|
1221 |
+
"epoch": 1.61,
|
1222 |
+
"grad_norm": 2.999746322631836,
|
1223 |
+
"learning_rate": 3.7383660806618406e-05,
|
1224 |
+
"loss": 0.3328,
|
1225 |
+
"step": 1720
|
1226 |
+
},
|
1227 |
+
{
|
1228 |
+
"epoch": 1.62,
|
1229 |
+
"grad_norm": 1.245676040649414,
|
1230 |
+
"learning_rate": 3.7280248190279217e-05,
|
1231 |
+
"loss": 0.5112,
|
1232 |
+
"step": 1730
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 1.63,
|
1236 |
+
"grad_norm": 0.8955879211425781,
|
1237 |
+
"learning_rate": 3.717683557394002e-05,
|
1238 |
+
"loss": 0.2696,
|
1239 |
+
"step": 1740
|
1240 |
+
},
|
1241 |
+
{
|
1242 |
+
"epoch": 1.64,
|
1243 |
+
"grad_norm": 14.041428565979004,
|
1244 |
+
"learning_rate": 3.707342295760083e-05,
|
1245 |
+
"loss": 0.3887,
|
1246 |
+
"step": 1750
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 1.65,
|
1250 |
+
"grad_norm": 10.70749568939209,
|
1251 |
+
"learning_rate": 3.6970010341261633e-05,
|
1252 |
+
"loss": 0.5087,
|
1253 |
+
"step": 1760
|
1254 |
+
},
|
1255 |
+
{
|
1256 |
+
"epoch": 1.66,
|
1257 |
+
"grad_norm": 26.841726303100586,
|
1258 |
+
"learning_rate": 3.6866597724922444e-05,
|
1259 |
+
"loss": 0.5083,
|
1260 |
+
"step": 1770
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 1.67,
|
1264 |
+
"grad_norm": 9.196104049682617,
|
1265 |
+
"learning_rate": 3.676318510858325e-05,
|
1266 |
+
"loss": 0.3208,
|
1267 |
+
"step": 1780
|
1268 |
+
},
|
1269 |
+
{
|
1270 |
+
"epoch": 1.68,
|
1271 |
+
"grad_norm": 15.969416618347168,
|
1272 |
+
"learning_rate": 3.665977249224406e-05,
|
1273 |
+
"loss": 0.3257,
|
1274 |
+
"step": 1790
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.69,
|
1278 |
+
"grad_norm": 27.856632232666016,
|
1279 |
+
"learning_rate": 3.655635987590486e-05,
|
1280 |
+
"loss": 0.3663,
|
1281 |
+
"step": 1800
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 1.7,
|
1285 |
+
"grad_norm": 1.3687829971313477,
|
1286 |
+
"learning_rate": 3.645294725956567e-05,
|
1287 |
+
"loss": 0.3494,
|
1288 |
+
"step": 1810
|
1289 |
+
},
|
1290 |
+
{
|
1291 |
+
"epoch": 1.71,
|
1292 |
+
"grad_norm": 24.28046989440918,
|
1293 |
+
"learning_rate": 3.6349534643226474e-05,
|
1294 |
+
"loss": 0.4308,
|
1295 |
+
"step": 1820
|
1296 |
+
},
|
1297 |
+
{
|
1298 |
+
"epoch": 1.72,
|
1299 |
+
"grad_norm": 0.7270779013633728,
|
1300 |
+
"learning_rate": 3.624612202688728e-05,
|
1301 |
+
"loss": 0.3686,
|
1302 |
+
"step": 1830
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 1.72,
|
1306 |
+
"grad_norm": 0.5241263508796692,
|
1307 |
+
"learning_rate": 3.614270941054809e-05,
|
1308 |
+
"loss": 0.3533,
|
1309 |
+
"step": 1840
|
1310 |
+
},
|
1311 |
+
{
|
1312 |
+
"epoch": 1.73,
|
1313 |
+
"grad_norm": 120.1414794921875,
|
1314 |
+
"learning_rate": 3.603929679420889e-05,
|
1315 |
+
"loss": 0.1999,
|
1316 |
+
"step": 1850
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 1.74,
|
1320 |
+
"grad_norm": 26.968687057495117,
|
1321 |
+
"learning_rate": 3.59358841778697e-05,
|
1322 |
+
"loss": 0.3365,
|
1323 |
+
"step": 1860
|
1324 |
+
},
|
1325 |
+
{
|
1326 |
+
"epoch": 1.75,
|
1327 |
+
"grad_norm": 31.189796447753906,
|
1328 |
+
"learning_rate": 3.5832471561530504e-05,
|
1329 |
+
"loss": 0.5752,
|
1330 |
+
"step": 1870
|
1331 |
+
},
|
1332 |
+
{
|
1333 |
+
"epoch": 1.76,
|
1334 |
+
"grad_norm": 3.3193278312683105,
|
1335 |
+
"learning_rate": 3.5729058945191315e-05,
|
1336 |
+
"loss": 0.4337,
|
1337 |
+
"step": 1880
|
1338 |
+
},
|
1339 |
+
{
|
1340 |
+
"epoch": 1.77,
|
1341 |
+
"grad_norm": 17.27393913269043,
|
1342 |
+
"learning_rate": 3.562564632885212e-05,
|
1343 |
+
"loss": 0.4251,
|
1344 |
+
"step": 1890
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 1.78,
|
1348 |
+
"grad_norm": 44.38993835449219,
|
1349 |
+
"learning_rate": 3.552223371251293e-05,
|
1350 |
+
"loss": 0.3813,
|
1351 |
+
"step": 1900
|
1352 |
+
},
|
1353 |
+
{
|
1354 |
+
"epoch": 1.79,
|
1355 |
+
"grad_norm": 14.854008674621582,
|
1356 |
+
"learning_rate": 3.541882109617373e-05,
|
1357 |
+
"loss": 0.349,
|
1358 |
+
"step": 1910
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 1.8,
|
1362 |
+
"grad_norm": 6.35029935836792,
|
1363 |
+
"learning_rate": 3.531540847983454e-05,
|
1364 |
+
"loss": 0.3621,
|
1365 |
+
"step": 1920
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 1.81,
|
1369 |
+
"grad_norm": 38.28048324584961,
|
1370 |
+
"learning_rate": 3.521199586349535e-05,
|
1371 |
+
"loss": 0.3143,
|
1372 |
+
"step": 1930
|
1373 |
+
},
|
1374 |
+
{
|
1375 |
+
"epoch": 1.82,
|
1376 |
+
"grad_norm": 3.274022340774536,
|
1377 |
+
"learning_rate": 3.5108583247156155e-05,
|
1378 |
+
"loss": 0.3147,
|
1379 |
+
"step": 1940
|
1380 |
+
},
|
1381 |
+
{
|
1382 |
+
"epoch": 1.83,
|
1383 |
+
"grad_norm": 24.270750045776367,
|
1384 |
+
"learning_rate": 3.5005170630816965e-05,
|
1385 |
+
"loss": 0.486,
|
1386 |
+
"step": 1950
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 1.84,
|
1390 |
+
"grad_norm": 26.76897621154785,
|
1391 |
+
"learning_rate": 3.490175801447777e-05,
|
1392 |
+
"loss": 0.3353,
|
1393 |
+
"step": 1960
|
1394 |
+
},
|
1395 |
+
{
|
1396 |
+
"epoch": 1.85,
|
1397 |
+
"grad_norm": 28.255657196044922,
|
1398 |
+
"learning_rate": 3.479834539813858e-05,
|
1399 |
+
"loss": 0.3074,
|
1400 |
+
"step": 1970
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 1.86,
|
1404 |
+
"grad_norm": 14.969733238220215,
|
1405 |
+
"learning_rate": 3.469493278179938e-05,
|
1406 |
+
"loss": 0.3648,
|
1407 |
+
"step": 1980
|
1408 |
+
},
|
1409 |
+
{
|
1410 |
+
"epoch": 1.87,
|
1411 |
+
"grad_norm": 13.978160858154297,
|
1412 |
+
"learning_rate": 3.459152016546019e-05,
|
1413 |
+
"loss": 0.3108,
|
1414 |
+
"step": 1990
|
1415 |
+
},
|
1416 |
+
{
|
1417 |
+
"epoch": 1.87,
|
1418 |
+
"grad_norm": 4.878652095794678,
|
1419 |
+
"learning_rate": 3.4488107549120996e-05,
|
1420 |
+
"loss": 0.3236,
|
1421 |
+
"step": 2000
|
1422 |
+
},
|
1423 |
+
{
|
1424 |
+
"epoch": 1.88,
|
1425 |
+
"grad_norm": 9.4730806350708,
|
1426 |
+
"learning_rate": 3.4384694932781806e-05,
|
1427 |
+
"loss": 0.3036,
|
1428 |
+
"step": 2010
|
1429 |
+
},
|
1430 |
+
{
|
1431 |
+
"epoch": 1.89,
|
1432 |
+
"grad_norm": 71.49247741699219,
|
1433 |
+
"learning_rate": 3.428128231644261e-05,
|
1434 |
+
"loss": 0.3228,
|
1435 |
+
"step": 2020
|
1436 |
+
},
|
1437 |
+
{
|
1438 |
+
"epoch": 1.9,
|
1439 |
+
"grad_norm": 11.899968147277832,
|
1440 |
+
"learning_rate": 3.417786970010341e-05,
|
1441 |
+
"loss": 0.422,
|
1442 |
+
"step": 2030
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 1.91,
|
1446 |
+
"grad_norm": 10.609174728393555,
|
1447 |
+
"learning_rate": 3.407445708376422e-05,
|
1448 |
+
"loss": 0.2226,
|
1449 |
+
"step": 2040
|
1450 |
+
},
|
1451 |
+
{
|
1452 |
+
"epoch": 1.92,
|
1453 |
+
"grad_norm": 0.9701952338218689,
|
1454 |
+
"learning_rate": 3.3971044467425026e-05,
|
1455 |
+
"loss": 0.3561,
|
1456 |
+
"step": 2050
|
1457 |
+
},
|
1458 |
+
{
|
1459 |
+
"epoch": 1.93,
|
1460 |
+
"grad_norm": 16.32933235168457,
|
1461 |
+
"learning_rate": 3.3867631851085836e-05,
|
1462 |
+
"loss": 0.3124,
|
1463 |
+
"step": 2060
|
1464 |
+
},
|
1465 |
+
{
|
1466 |
+
"epoch": 1.94,
|
1467 |
+
"grad_norm": 1.6818139553070068,
|
1468 |
+
"learning_rate": 3.376421923474664e-05,
|
1469 |
+
"loss": 0.274,
|
1470 |
+
"step": 2070
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 1.95,
|
1474 |
+
"grad_norm": 2.9835000038146973,
|
1475 |
+
"learning_rate": 3.366080661840745e-05,
|
1476 |
+
"loss": 0.3897,
|
1477 |
+
"step": 2080
|
1478 |
+
},
|
1479 |
+
{
|
1480 |
+
"epoch": 1.96,
|
1481 |
+
"grad_norm": 0.44764024019241333,
|
1482 |
+
"learning_rate": 3.355739400206825e-05,
|
1483 |
+
"loss": 0.3541,
|
1484 |
+
"step": 2090
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 1.97,
|
1488 |
+
"grad_norm": 34.775390625,
|
1489 |
+
"learning_rate": 3.345398138572906e-05,
|
1490 |
+
"loss": 0.3058,
|
1491 |
+
"step": 2100
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 1.98,
|
1495 |
+
"grad_norm": 10.107741355895996,
|
1496 |
+
"learning_rate": 3.3350568769389867e-05,
|
1497 |
+
"loss": 0.2805,
|
1498 |
+
"step": 2110
|
1499 |
+
},
|
1500 |
+
{
|
1501 |
+
"epoch": 1.99,
|
1502 |
+
"grad_norm": 9.582823753356934,
|
1503 |
+
"learning_rate": 3.324715615305068e-05,
|
1504 |
+
"loss": 0.3837,
|
1505 |
+
"step": 2120
|
1506 |
+
},
|
1507 |
+
{
|
1508 |
+
"epoch": 2.0,
|
1509 |
+
"grad_norm": 86.71916198730469,
|
1510 |
+
"learning_rate": 3.314374353671148e-05,
|
1511 |
+
"loss": 0.4249,
|
1512 |
+
"step": 2130
|
1513 |
+
},
|
1514 |
+
{
|
1515 |
+
"epoch": 2.0,
|
1516 |
+
"eval_accuracy": 0.8555347091932458,
|
1517 |
+
"eval_f1": 0.8560747663551402,
|
1518 |
+
"eval_loss": 0.3931359052658081,
|
1519 |
+
"eval_precision": 0.8513011152416357,
|
1520 |
+
"eval_recall": 0.8609022556390977,
|
1521 |
+
"eval_runtime": 1.5356,
|
1522 |
+
"eval_samples_per_second": 347.106,
|
1523 |
+
"eval_steps_per_second": 43.632,
|
1524 |
+
"step": 2134
|
1525 |
+
},
|
1526 |
+
{
|
1527 |
+
"epoch": 2.01,
|
1528 |
+
"grad_norm": 2.3712680339813232,
|
1529 |
+
"learning_rate": 3.3040330920372283e-05,
|
1530 |
+
"loss": 0.1953,
|
1531 |
+
"step": 2140
|
1532 |
+
},
|
1533 |
+
{
|
1534 |
+
"epoch": 2.01,
|
1535 |
+
"grad_norm": 28.71424102783203,
|
1536 |
+
"learning_rate": 3.2936918304033094e-05,
|
1537 |
+
"loss": 0.1712,
|
1538 |
+
"step": 2150
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 2.02,
|
1542 |
+
"grad_norm": 0.18505160510540009,
|
1543 |
+
"learning_rate": 3.28335056876939e-05,
|
1544 |
+
"loss": 0.3299,
|
1545 |
+
"step": 2160
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 2.03,
|
1549 |
+
"grad_norm": 74.10963439941406,
|
1550 |
+
"learning_rate": 3.273009307135471e-05,
|
1551 |
+
"loss": 0.2948,
|
1552 |
+
"step": 2170
|
1553 |
+
},
|
1554 |
+
{
|
1555 |
+
"epoch": 2.04,
|
1556 |
+
"grad_norm": 1.3842068910598755,
|
1557 |
+
"learning_rate": 3.262668045501551e-05,
|
1558 |
+
"loss": 0.3453,
|
1559 |
+
"step": 2180
|
1560 |
+
},
|
1561 |
+
{
|
1562 |
+
"epoch": 2.05,
|
1563 |
+
"grad_norm": 10.536425590515137,
|
1564 |
+
"learning_rate": 3.252326783867632e-05,
|
1565 |
+
"loss": 0.23,
|
1566 |
+
"step": 2190
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 2.06,
|
1570 |
+
"grad_norm": 28.119539260864258,
|
1571 |
+
"learning_rate": 3.2419855222337124e-05,
|
1572 |
+
"loss": 0.2037,
|
1573 |
+
"step": 2200
|
1574 |
+
},
|
1575 |
+
{
|
1576 |
+
"epoch": 2.07,
|
1577 |
+
"grad_norm": 0.34018927812576294,
|
1578 |
+
"learning_rate": 3.2316442605997934e-05,
|
1579 |
+
"loss": 0.1796,
|
1580 |
+
"step": 2210
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 2.08,
|
1584 |
+
"grad_norm": 2.8183701038360596,
|
1585 |
+
"learning_rate": 3.221302998965874e-05,
|
1586 |
+
"loss": 0.5003,
|
1587 |
+
"step": 2220
|
1588 |
+
},
|
1589 |
+
{
|
1590 |
+
"epoch": 2.09,
|
1591 |
+
"grad_norm": 0.478957861661911,
|
1592 |
+
"learning_rate": 3.210961737331955e-05,
|
1593 |
+
"loss": 0.14,
|
1594 |
+
"step": 2230
|
1595 |
+
},
|
1596 |
+
{
|
1597 |
+
"epoch": 2.1,
|
1598 |
+
"grad_norm": 2.9625442028045654,
|
1599 |
+
"learning_rate": 3.200620475698035e-05,
|
1600 |
+
"loss": 0.3229,
|
1601 |
+
"step": 2240
|
1602 |
+
},
|
1603 |
+
{
|
1604 |
+
"epoch": 2.11,
|
1605 |
+
"grad_norm": 0.5814473032951355,
|
1606 |
+
"learning_rate": 3.190279214064116e-05,
|
1607 |
+
"loss": 0.1369,
|
1608 |
+
"step": 2250
|
1609 |
+
},
|
1610 |
+
{
|
1611 |
+
"epoch": 2.12,
|
1612 |
+
"grad_norm": 1.5362516641616821,
|
1613 |
+
"learning_rate": 3.1799379524301965e-05,
|
1614 |
+
"loss": 0.1266,
|
1615 |
+
"step": 2260
|
1616 |
+
},
|
1617 |
+
{
|
1618 |
+
"epoch": 2.13,
|
1619 |
+
"grad_norm": 30.91729736328125,
|
1620 |
+
"learning_rate": 3.169596690796277e-05,
|
1621 |
+
"loss": 0.4261,
|
1622 |
+
"step": 2270
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 2.14,
|
1626 |
+
"grad_norm": 6.7020673751831055,
|
1627 |
+
"learning_rate": 3.159255429162358e-05,
|
1628 |
+
"loss": 0.3651,
|
1629 |
+
"step": 2280
|
1630 |
+
},
|
1631 |
+
{
|
1632 |
+
"epoch": 2.15,
|
1633 |
+
"grad_norm": 3.024595022201538,
|
1634 |
+
"learning_rate": 3.148914167528438e-05,
|
1635 |
+
"loss": 0.2789,
|
1636 |
+
"step": 2290
|
1637 |
+
},
|
1638 |
+
{
|
1639 |
+
"epoch": 2.16,
|
1640 |
+
"grad_norm": 387.9389953613281,
|
1641 |
+
"learning_rate": 3.138572905894519e-05,
|
1642 |
+
"loss": 0.4301,
|
1643 |
+
"step": 2300
|
1644 |
+
},
|
1645 |
+
{
|
1646 |
+
"epoch": 2.16,
|
1647 |
+
"grad_norm": 0.2992786467075348,
|
1648 |
+
"learning_rate": 3.1282316442605995e-05,
|
1649 |
+
"loss": 0.276,
|
1650 |
+
"step": 2310
|
1651 |
+
},
|
1652 |
+
{
|
1653 |
+
"epoch": 2.17,
|
1654 |
+
"grad_norm": 4.288240432739258,
|
1655 |
+
"learning_rate": 3.117890382626681e-05,
|
1656 |
+
"loss": 0.0722,
|
1657 |
+
"step": 2320
|
1658 |
+
},
|
1659 |
+
{
|
1660 |
+
"epoch": 2.18,
|
1661 |
+
"grad_norm": 0.20439238846302032,
|
1662 |
+
"learning_rate": 3.1075491209927615e-05,
|
1663 |
+
"loss": 0.1687,
|
1664 |
+
"step": 2330
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 2.19,
|
1668 |
+
"grad_norm": 0.17426259815692902,
|
1669 |
+
"learning_rate": 3.097207859358842e-05,
|
1670 |
+
"loss": 0.3444,
|
1671 |
+
"step": 2340
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 2.2,
|
1675 |
+
"grad_norm": 2.802089214324951,
|
1676 |
+
"learning_rate": 3.086866597724923e-05,
|
1677 |
+
"loss": 0.4715,
|
1678 |
+
"step": 2350
|
1679 |
+
},
|
1680 |
+
{
|
1681 |
+
"epoch": 2.21,
|
1682 |
+
"grad_norm": 0.27714866399765015,
|
1683 |
+
"learning_rate": 3.076525336091003e-05,
|
1684 |
+
"loss": 0.2581,
|
1685 |
+
"step": 2360
|
1686 |
+
},
|
1687 |
+
{
|
1688 |
+
"epoch": 2.22,
|
1689 |
+
"grad_norm": 9.906682014465332,
|
1690 |
+
"learning_rate": 3.066184074457084e-05,
|
1691 |
+
"loss": 0.1077,
|
1692 |
+
"step": 2370
|
1693 |
+
},
|
1694 |
+
{
|
1695 |
+
"epoch": 2.23,
|
1696 |
+
"grad_norm": 17.114538192749023,
|
1697 |
+
"learning_rate": 3.0558428128231646e-05,
|
1698 |
+
"loss": 0.3108,
|
1699 |
+
"step": 2380
|
1700 |
+
},
|
1701 |
+
{
|
1702 |
+
"epoch": 2.24,
|
1703 |
+
"grad_norm": 5.7600178718566895,
|
1704 |
+
"learning_rate": 3.0455015511892452e-05,
|
1705 |
+
"loss": 0.3055,
|
1706 |
+
"step": 2390
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 2.25,
|
1710 |
+
"grad_norm": 0.660796582698822,
|
1711 |
+
"learning_rate": 3.035160289555326e-05,
|
1712 |
+
"loss": 0.1998,
|
1713 |
+
"step": 2400
|
1714 |
+
},
|
1715 |
+
{
|
1716 |
+
"epoch": 2.26,
|
1717 |
+
"grad_norm": 0.19979248940944672,
|
1718 |
+
"learning_rate": 3.0248190279214066e-05,
|
1719 |
+
"loss": 0.3523,
|
1720 |
+
"step": 2410
|
1721 |
+
},
|
1722 |
+
{
|
1723 |
+
"epoch": 2.27,
|
1724 |
+
"grad_norm": 0.6000668406486511,
|
1725 |
+
"learning_rate": 3.0144777662874873e-05,
|
1726 |
+
"loss": 0.1009,
|
1727 |
+
"step": 2420
|
1728 |
+
},
|
1729 |
+
{
|
1730 |
+
"epoch": 2.28,
|
1731 |
+
"grad_norm": 0.15889067947864532,
|
1732 |
+
"learning_rate": 3.004136504653568e-05,
|
1733 |
+
"loss": 0.0861,
|
1734 |
+
"step": 2430
|
1735 |
+
},
|
1736 |
+
{
|
1737 |
+
"epoch": 2.29,
|
1738 |
+
"grad_norm": 0.32534798979759216,
|
1739 |
+
"learning_rate": 2.9937952430196486e-05,
|
1740 |
+
"loss": 0.1119,
|
1741 |
+
"step": 2440
|
1742 |
+
},
|
1743 |
+
{
|
1744 |
+
"epoch": 2.3,
|
1745 |
+
"grad_norm": 6.747263431549072,
|
1746 |
+
"learning_rate": 2.9834539813857293e-05,
|
1747 |
+
"loss": 0.2019,
|
1748 |
+
"step": 2450
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 2.31,
|
1752 |
+
"grad_norm": 0.0872272402048111,
|
1753 |
+
"learning_rate": 2.97311271975181e-05,
|
1754 |
+
"loss": 0.3013,
|
1755 |
+
"step": 2460
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 2.31,
|
1759 |
+
"grad_norm": 0.418996125459671,
|
1760 |
+
"learning_rate": 2.9627714581178906e-05,
|
1761 |
+
"loss": 0.3679,
|
1762 |
+
"step": 2470
|
1763 |
+
},
|
1764 |
+
{
|
1765 |
+
"epoch": 2.32,
|
1766 |
+
"grad_norm": 34.88379669189453,
|
1767 |
+
"learning_rate": 2.9524301964839713e-05,
|
1768 |
+
"loss": 0.3748,
|
1769 |
+
"step": 2480
|
1770 |
+
},
|
1771 |
+
{
|
1772 |
+
"epoch": 2.33,
|
1773 |
+
"grad_norm": 0.8229822516441345,
|
1774 |
+
"learning_rate": 2.942088934850052e-05,
|
1775 |
+
"loss": 0.3046,
|
1776 |
+
"step": 2490
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 2.34,
|
1780 |
+
"grad_norm": 1.254721999168396,
|
1781 |
+
"learning_rate": 2.9317476732161327e-05,
|
1782 |
+
"loss": 0.4162,
|
1783 |
+
"step": 2500
|
1784 |
+
},
|
1785 |
+
{
|
1786 |
+
"epoch": 2.35,
|
1787 |
+
"grad_norm": 0.805443286895752,
|
1788 |
+
"learning_rate": 2.921406411582213e-05,
|
1789 |
+
"loss": 0.2995,
|
1790 |
+
"step": 2510
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 2.36,
|
1794 |
+
"grad_norm": 0.21225698292255402,
|
1795 |
+
"learning_rate": 2.9110651499482937e-05,
|
1796 |
+
"loss": 0.2081,
|
1797 |
+
"step": 2520
|
1798 |
+
},
|
1799 |
+
{
|
1800 |
+
"epoch": 2.37,
|
1801 |
+
"grad_norm": 1.794771671295166,
|
1802 |
+
"learning_rate": 2.9007238883143744e-05,
|
1803 |
+
"loss": 0.2845,
|
1804 |
+
"step": 2530
|
1805 |
+
},
|
1806 |
+
{
|
1807 |
+
"epoch": 2.38,
|
1808 |
+
"grad_norm": 0.45042118430137634,
|
1809 |
+
"learning_rate": 2.890382626680455e-05,
|
1810 |
+
"loss": 0.1312,
|
1811 |
+
"step": 2540
|
1812 |
+
},
|
1813 |
+
{
|
1814 |
+
"epoch": 2.39,
|
1815 |
+
"grad_norm": 2.9366912841796875,
|
1816 |
+
"learning_rate": 2.8800413650465357e-05,
|
1817 |
+
"loss": 0.2553,
|
1818 |
+
"step": 2550
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 2.4,
|
1822 |
+
"grad_norm": 0.3621287941932678,
|
1823 |
+
"learning_rate": 2.8697001034126164e-05,
|
1824 |
+
"loss": 0.419,
|
1825 |
+
"step": 2560
|
1826 |
+
},
|
1827 |
+
{
|
1828 |
+
"epoch": 2.41,
|
1829 |
+
"grad_norm": 0.33347466588020325,
|
1830 |
+
"learning_rate": 2.859358841778697e-05,
|
1831 |
+
"loss": 0.1815,
|
1832 |
+
"step": 2570
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 2.42,
|
1836 |
+
"grad_norm": 2.7859878540039062,
|
1837 |
+
"learning_rate": 2.8490175801447777e-05,
|
1838 |
+
"loss": 0.2801,
|
1839 |
+
"step": 2580
|
1840 |
+
},
|
1841 |
+
{
|
1842 |
+
"epoch": 2.43,
|
1843 |
+
"grad_norm": 0.30300045013427734,
|
1844 |
+
"learning_rate": 2.8386763185108584e-05,
|
1845 |
+
"loss": 0.1433,
|
1846 |
+
"step": 2590
|
1847 |
+
},
|
1848 |
+
{
|
1849 |
+
"epoch": 2.44,
|
1850 |
+
"grad_norm": 98.14810943603516,
|
1851 |
+
"learning_rate": 2.828335056876939e-05,
|
1852 |
+
"loss": 0.2292,
|
1853 |
+
"step": 2600
|
1854 |
+
},
|
1855 |
+
{
|
1856 |
+
"epoch": 2.45,
|
1857 |
+
"grad_norm": 4.406097412109375,
|
1858 |
+
"learning_rate": 2.8179937952430198e-05,
|
1859 |
+
"loss": 0.1548,
|
1860 |
+
"step": 2610
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 2.46,
|
1864 |
+
"grad_norm": 5.7536234855651855,
|
1865 |
+
"learning_rate": 2.8076525336091004e-05,
|
1866 |
+
"loss": 0.1126,
|
1867 |
+
"step": 2620
|
1868 |
+
},
|
1869 |
+
{
|
1870 |
+
"epoch": 2.46,
|
1871 |
+
"grad_norm": 36.3065299987793,
|
1872 |
+
"learning_rate": 2.7973112719751808e-05,
|
1873 |
+
"loss": 0.3183,
|
1874 |
+
"step": 2630
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 2.47,
|
1878 |
+
"grad_norm": 34.32221603393555,
|
1879 |
+
"learning_rate": 2.7869700103412615e-05,
|
1880 |
+
"loss": 0.342,
|
1881 |
+
"step": 2640
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 2.48,
|
1885 |
+
"grad_norm": 0.14024418592453003,
|
1886 |
+
"learning_rate": 2.776628748707342e-05,
|
1887 |
+
"loss": 0.3198,
|
1888 |
+
"step": 2650
|
1889 |
+
},
|
1890 |
+
{
|
1891 |
+
"epoch": 2.49,
|
1892 |
+
"grad_norm": 0.32867252826690674,
|
1893 |
+
"learning_rate": 2.7662874870734228e-05,
|
1894 |
+
"loss": 0.34,
|
1895 |
+
"step": 2660
|
1896 |
+
},
|
1897 |
+
{
|
1898 |
+
"epoch": 2.5,
|
1899 |
+
"grad_norm": 4.173491954803467,
|
1900 |
+
"learning_rate": 2.7559462254395035e-05,
|
1901 |
+
"loss": 0.2842,
|
1902 |
+
"step": 2670
|
1903 |
+
},
|
1904 |
+
{
|
1905 |
+
"epoch": 2.51,
|
1906 |
+
"grad_norm": 167.7888641357422,
|
1907 |
+
"learning_rate": 2.745604963805584e-05,
|
1908 |
+
"loss": 0.2955,
|
1909 |
+
"step": 2680
|
1910 |
+
},
|
1911 |
+
{
|
1912 |
+
"epoch": 2.52,
|
1913 |
+
"grad_norm": 0.7819741368293762,
|
1914 |
+
"learning_rate": 2.735263702171665e-05,
|
1915 |
+
"loss": 0.0981,
|
1916 |
+
"step": 2690
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 2.53,
|
1920 |
+
"grad_norm": 3.086498498916626,
|
1921 |
+
"learning_rate": 2.7249224405377455e-05,
|
1922 |
+
"loss": 0.2673,
|
1923 |
+
"step": 2700
|
1924 |
+
},
|
1925 |
+
{
|
1926 |
+
"epoch": 2.54,
|
1927 |
+
"grad_norm": 0.086996890604496,
|
1928 |
+
"learning_rate": 2.7145811789038262e-05,
|
1929 |
+
"loss": 0.2067,
|
1930 |
+
"step": 2710
|
1931 |
+
},
|
1932 |
+
{
|
1933 |
+
"epoch": 2.55,
|
1934 |
+
"grad_norm": 0.09881442785263062,
|
1935 |
+
"learning_rate": 2.7042399172699072e-05,
|
1936 |
+
"loss": 0.365,
|
1937 |
+
"step": 2720
|
1938 |
+
},
|
1939 |
+
{
|
1940 |
+
"epoch": 2.56,
|
1941 |
+
"grad_norm": 43.90235137939453,
|
1942 |
+
"learning_rate": 2.693898655635988e-05,
|
1943 |
+
"loss": 0.1421,
|
1944 |
+
"step": 2730
|
1945 |
+
},
|
1946 |
+
{
|
1947 |
+
"epoch": 2.57,
|
1948 |
+
"grad_norm": 0.06362267583608627,
|
1949 |
+
"learning_rate": 2.6835573940020685e-05,
|
1950 |
+
"loss": 0.3048,
|
1951 |
+
"step": 2740
|
1952 |
+
},
|
1953 |
+
{
|
1954 |
+
"epoch": 2.58,
|
1955 |
+
"grad_norm": 0.08752346783876419,
|
1956 |
+
"learning_rate": 2.6732161323681492e-05,
|
1957 |
+
"loss": 0.0187,
|
1958 |
+
"step": 2750
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 2.59,
|
1962 |
+
"grad_norm": 0.5300313234329224,
|
1963 |
+
"learning_rate": 2.66287487073423e-05,
|
1964 |
+
"loss": 0.1348,
|
1965 |
+
"step": 2760
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 2.6,
|
1969 |
+
"grad_norm": 0.04888344556093216,
|
1970 |
+
"learning_rate": 2.6525336091003106e-05,
|
1971 |
+
"loss": 0.1468,
|
1972 |
+
"step": 2770
|
1973 |
+
},
|
1974 |
+
{
|
1975 |
+
"epoch": 2.61,
|
1976 |
+
"grad_norm": 13.05820369720459,
|
1977 |
+
"learning_rate": 2.6421923474663913e-05,
|
1978 |
+
"loss": 0.4363,
|
1979 |
+
"step": 2780
|
1980 |
+
},
|
1981 |
+
{
|
1982 |
+
"epoch": 2.61,
|
1983 |
+
"grad_norm": 3.226611852645874,
|
1984 |
+
"learning_rate": 2.631851085832472e-05,
|
1985 |
+
"loss": 0.2585,
|
1986 |
+
"step": 2790
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 2.62,
|
1990 |
+
"grad_norm": 127.92499542236328,
|
1991 |
+
"learning_rate": 2.6215098241985526e-05,
|
1992 |
+
"loss": 0.2791,
|
1993 |
+
"step": 2800
|
1994 |
+
},
|
1995 |
+
{
|
1996 |
+
"epoch": 2.63,
|
1997 |
+
"grad_norm": 4.131041526794434,
|
1998 |
+
"learning_rate": 2.6111685625646333e-05,
|
1999 |
+
"loss": 0.3342,
|
2000 |
+
"step": 2810
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 2.64,
|
2004 |
+
"grad_norm": 9.45926570892334,
|
2005 |
+
"learning_rate": 2.600827300930714e-05,
|
2006 |
+
"loss": 0.4095,
|
2007 |
+
"step": 2820
|
2008 |
+
},
|
2009 |
+
{
|
2010 |
+
"epoch": 2.65,
|
2011 |
+
"grad_norm": 0.3252735435962677,
|
2012 |
+
"learning_rate": 2.5904860392967943e-05,
|
2013 |
+
"loss": 0.1566,
|
2014 |
+
"step": 2830
|
2015 |
+
},
|
2016 |
+
{
|
2017 |
+
"epoch": 2.66,
|
2018 |
+
"grad_norm": 17.8929386138916,
|
2019 |
+
"learning_rate": 2.580144777662875e-05,
|
2020 |
+
"loss": 0.2914,
|
2021 |
+
"step": 2840
|
2022 |
+
},
|
2023 |
+
{
|
2024 |
+
"epoch": 2.67,
|
2025 |
+
"grad_norm": 0.4428044557571411,
|
2026 |
+
"learning_rate": 2.5698035160289556e-05,
|
2027 |
+
"loss": 0.1937,
|
2028 |
+
"step": 2850
|
2029 |
+
},
|
2030 |
+
{
|
2031 |
+
"epoch": 2.68,
|
2032 |
+
"grad_norm": 0.196681946516037,
|
2033 |
+
"learning_rate": 2.5594622543950363e-05,
|
2034 |
+
"loss": 0.1334,
|
2035 |
+
"step": 2860
|
2036 |
+
},
|
2037 |
+
{
|
2038 |
+
"epoch": 2.69,
|
2039 |
+
"grad_norm": 14.465700149536133,
|
2040 |
+
"learning_rate": 2.549120992761117e-05,
|
2041 |
+
"loss": 0.4305,
|
2042 |
+
"step": 2870
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 2.7,
|
2046 |
+
"grad_norm": 0.25671684741973877,
|
2047 |
+
"learning_rate": 2.5387797311271977e-05,
|
2048 |
+
"loss": 0.3097,
|
2049 |
+
"step": 2880
|
2050 |
+
},
|
2051 |
+
{
|
2052 |
+
"epoch": 2.71,
|
2053 |
+
"grad_norm": 8.047564506530762,
|
2054 |
+
"learning_rate": 2.5284384694932783e-05,
|
2055 |
+
"loss": 0.483,
|
2056 |
+
"step": 2890
|
2057 |
+
},
|
2058 |
+
{
|
2059 |
+
"epoch": 2.72,
|
2060 |
+
"grad_norm": 12.367530822753906,
|
2061 |
+
"learning_rate": 2.518097207859359e-05,
|
2062 |
+
"loss": 0.1829,
|
2063 |
+
"step": 2900
|
2064 |
+
},
|
2065 |
+
{
|
2066 |
+
"epoch": 2.73,
|
2067 |
+
"grad_norm": 0.40190449357032776,
|
2068 |
+
"learning_rate": 2.5077559462254397e-05,
|
2069 |
+
"loss": 0.2601,
|
2070 |
+
"step": 2910
|
2071 |
+
},
|
2072 |
+
{
|
2073 |
+
"epoch": 2.74,
|
2074 |
+
"grad_norm": 0.18794836103916168,
|
2075 |
+
"learning_rate": 2.4974146845915204e-05,
|
2076 |
+
"loss": 0.1182,
|
2077 |
+
"step": 2920
|
2078 |
+
},
|
2079 |
+
{
|
2080 |
+
"epoch": 2.75,
|
2081 |
+
"grad_norm": 4.731940269470215,
|
2082 |
+
"learning_rate": 2.487073422957601e-05,
|
2083 |
+
"loss": 0.4801,
|
2084 |
+
"step": 2930
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 2.76,
|
2088 |
+
"grad_norm": 72.07913208007812,
|
2089 |
+
"learning_rate": 2.4767321613236817e-05,
|
2090 |
+
"loss": 0.1826,
|
2091 |
+
"step": 2940
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 2.76,
|
2095 |
+
"grad_norm": 0.34144583344459534,
|
2096 |
+
"learning_rate": 2.466390899689762e-05,
|
2097 |
+
"loss": 0.2458,
|
2098 |
+
"step": 2950
|
2099 |
+
},
|
2100 |
+
{
|
2101 |
+
"epoch": 2.77,
|
2102 |
+
"grad_norm": 2.847762107849121,
|
2103 |
+
"learning_rate": 2.4560496380558427e-05,
|
2104 |
+
"loss": 0.2508,
|
2105 |
+
"step": 2960
|
2106 |
+
},
|
2107 |
+
{
|
2108 |
+
"epoch": 2.78,
|
2109 |
+
"grad_norm": 1.0531044006347656,
|
2110 |
+
"learning_rate": 2.4457083764219234e-05,
|
2111 |
+
"loss": 0.3881,
|
2112 |
+
"step": 2970
|
2113 |
+
},
|
2114 |
+
{
|
2115 |
+
"epoch": 2.79,
|
2116 |
+
"grad_norm": 0.8281335830688477,
|
2117 |
+
"learning_rate": 2.435367114788004e-05,
|
2118 |
+
"loss": 0.221,
|
2119 |
+
"step": 2980
|
2120 |
+
},
|
2121 |
+
{
|
2122 |
+
"epoch": 2.8,
|
2123 |
+
"grad_norm": 12.635905265808105,
|
2124 |
+
"learning_rate": 2.4250258531540848e-05,
|
2125 |
+
"loss": 0.2008,
|
2126 |
+
"step": 2990
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 2.81,
|
2130 |
+
"grad_norm": 0.37540680170059204,
|
2131 |
+
"learning_rate": 2.4146845915201654e-05,
|
2132 |
+
"loss": 0.3256,
|
2133 |
+
"step": 3000
|
2134 |
+
},
|
2135 |
+
{
|
2136 |
+
"epoch": 2.82,
|
2137 |
+
"grad_norm": 0.306692510843277,
|
2138 |
+
"learning_rate": 2.404343329886246e-05,
|
2139 |
+
"loss": 0.2346,
|
2140 |
+
"step": 3010
|
2141 |
+
},
|
2142 |
+
{
|
2143 |
+
"epoch": 2.83,
|
2144 |
+
"grad_norm": 0.23924803733825684,
|
2145 |
+
"learning_rate": 2.394002068252327e-05,
|
2146 |
+
"loss": 0.2269,
|
2147 |
+
"step": 3020
|
2148 |
+
},
|
2149 |
+
{
|
2150 |
+
"epoch": 2.84,
|
2151 |
+
"grad_norm": 43.663082122802734,
|
2152 |
+
"learning_rate": 2.3836608066184078e-05,
|
2153 |
+
"loss": 0.2109,
|
2154 |
+
"step": 3030
|
2155 |
+
},
|
2156 |
+
{
|
2157 |
+
"epoch": 2.85,
|
2158 |
+
"grad_norm": 3.9084434509277344,
|
2159 |
+
"learning_rate": 2.3733195449844885e-05,
|
2160 |
+
"loss": 0.4289,
|
2161 |
+
"step": 3040
|
2162 |
+
},
|
2163 |
+
{
|
2164 |
+
"epoch": 2.86,
|
2165 |
+
"grad_norm": 1.4723049402236938,
|
2166 |
+
"learning_rate": 2.3629782833505688e-05,
|
2167 |
+
"loss": 0.2405,
|
2168 |
+
"step": 3050
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 2.87,
|
2172 |
+
"grad_norm": 3.2489137649536133,
|
2173 |
+
"learning_rate": 2.3526370217166495e-05,
|
2174 |
+
"loss": 0.2141,
|
2175 |
+
"step": 3060
|
2176 |
+
},
|
2177 |
+
{
|
2178 |
+
"epoch": 2.88,
|
2179 |
+
"grad_norm": 10.305293083190918,
|
2180 |
+
"learning_rate": 2.3422957600827302e-05,
|
2181 |
+
"loss": 0.4549,
|
2182 |
+
"step": 3070
|
2183 |
+
},
|
2184 |
+
{
|
2185 |
+
"epoch": 2.89,
|
2186 |
+
"grad_norm": 18.369117736816406,
|
2187 |
+
"learning_rate": 2.331954498448811e-05,
|
2188 |
+
"loss": 0.3059,
|
2189 |
+
"step": 3080
|
2190 |
+
},
|
2191 |
+
{
|
2192 |
+
"epoch": 2.9,
|
2193 |
+
"grad_norm": 24.559249877929688,
|
2194 |
+
"learning_rate": 2.3216132368148915e-05,
|
2195 |
+
"loss": 0.1978,
|
2196 |
+
"step": 3090
|
2197 |
+
},
|
2198 |
+
{
|
2199 |
+
"epoch": 2.91,
|
2200 |
+
"grad_norm": 0.5222854018211365,
|
2201 |
+
"learning_rate": 2.3112719751809722e-05,
|
2202 |
+
"loss": 0.1677,
|
2203 |
+
"step": 3100
|
2204 |
+
},
|
2205 |
+
{
|
2206 |
+
"epoch": 2.91,
|
2207 |
+
"grad_norm": 7.490653038024902,
|
2208 |
+
"learning_rate": 2.300930713547053e-05,
|
2209 |
+
"loss": 0.3634,
|
2210 |
+
"step": 3110
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 2.92,
|
2214 |
+
"grad_norm": 0.39714524149894714,
|
2215 |
+
"learning_rate": 2.2905894519131335e-05,
|
2216 |
+
"loss": 0.2277,
|
2217 |
+
"step": 3120
|
2218 |
+
},
|
2219 |
+
{
|
2220 |
+
"epoch": 2.93,
|
2221 |
+
"grad_norm": 0.16488385200500488,
|
2222 |
+
"learning_rate": 2.2802481902792142e-05,
|
2223 |
+
"loss": 0.1301,
|
2224 |
+
"step": 3130
|
2225 |
+
},
|
2226 |
+
{
|
2227 |
+
"epoch": 2.94,
|
2228 |
+
"grad_norm": 3.3054399490356445,
|
2229 |
+
"learning_rate": 2.269906928645295e-05,
|
2230 |
+
"loss": 0.3157,
|
2231 |
+
"step": 3140
|
2232 |
+
},
|
2233 |
+
{
|
2234 |
+
"epoch": 2.95,
|
2235 |
+
"grad_norm": 0.1860102266073227,
|
2236 |
+
"learning_rate": 2.2595656670113756e-05,
|
2237 |
+
"loss": 0.1737,
|
2238 |
+
"step": 3150
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 2.96,
|
2242 |
+
"grad_norm": 6.283505916595459,
|
2243 |
+
"learning_rate": 2.2492244053774563e-05,
|
2244 |
+
"loss": 0.1935,
|
2245 |
+
"step": 3160
|
2246 |
+
},
|
2247 |
+
{
|
2248 |
+
"epoch": 2.97,
|
2249 |
+
"grad_norm": 0.3177931010723114,
|
2250 |
+
"learning_rate": 2.2388831437435366e-05,
|
2251 |
+
"loss": 0.2413,
|
2252 |
+
"step": 3170
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 2.98,
|
2256 |
+
"grad_norm": 9.307920455932617,
|
2257 |
+
"learning_rate": 2.2285418821096173e-05,
|
2258 |
+
"loss": 0.2362,
|
2259 |
+
"step": 3180
|
2260 |
+
},
|
2261 |
+
{
|
2262 |
+
"epoch": 2.99,
|
2263 |
+
"grad_norm": 20.813262939453125,
|
2264 |
+
"learning_rate": 2.218200620475698e-05,
|
2265 |
+
"loss": 0.2896,
|
2266 |
+
"step": 3190
|
2267 |
+
},
|
2268 |
+
{
|
2269 |
+
"epoch": 3.0,
|
2270 |
+
"grad_norm": 0.17595571279525757,
|
2271 |
+
"learning_rate": 2.2078593588417786e-05,
|
2272 |
+
"loss": 0.1038,
|
2273 |
+
"step": 3200
|
2274 |
+
},
|
2275 |
+
{
|
2276 |
+
"epoch": 3.0,
|
2277 |
+
"eval_accuracy": 0.8667917448405253,
|
2278 |
+
"eval_f1": 0.864244741873805,
|
2279 |
+
"eval_loss": 0.5857056975364685,
|
2280 |
+
"eval_precision": 0.8793774319066148,
|
2281 |
+
"eval_recall": 0.849624060150376,
|
2282 |
+
"eval_runtime": 1.5831,
|
2283 |
+
"eval_samples_per_second": 336.679,
|
2284 |
+
"eval_steps_per_second": 42.322,
|
2285 |
+
"step": 3201
|
2286 |
+
},
|
2287 |
+
{
|
2288 |
+
"epoch": 3.01,
|
2289 |
+
"grad_norm": 0.1377851516008377,
|
2290 |
+
"learning_rate": 2.1975180972078593e-05,
|
2291 |
+
"loss": 0.0617,
|
2292 |
+
"step": 3210
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 3.02,
|
2296 |
+
"grad_norm": 8.743398666381836,
|
2297 |
+
"learning_rate": 2.1871768355739403e-05,
|
2298 |
+
"loss": 0.2428,
|
2299 |
+
"step": 3220
|
2300 |
+
},
|
2301 |
+
{
|
2302 |
+
"epoch": 3.03,
|
2303 |
+
"grad_norm": 1.2507226467132568,
|
2304 |
+
"learning_rate": 2.176835573940021e-05,
|
2305 |
+
"loss": 0.187,
|
2306 |
+
"step": 3230
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 3.04,
|
2310 |
+
"grad_norm": 0.17167934775352478,
|
2311 |
+
"learning_rate": 2.1664943123061017e-05,
|
2312 |
+
"loss": 0.1137,
|
2313 |
+
"step": 3240
|
2314 |
+
},
|
2315 |
+
{
|
2316 |
+
"epoch": 3.05,
|
2317 |
+
"grad_norm": 5.110489845275879,
|
2318 |
+
"learning_rate": 2.1561530506721823e-05,
|
2319 |
+
"loss": 0.0637,
|
2320 |
+
"step": 3250
|
2321 |
+
},
|
2322 |
+
{
|
2323 |
+
"epoch": 3.06,
|
2324 |
+
"grad_norm": 0.11725780367851257,
|
2325 |
+
"learning_rate": 2.145811789038263e-05,
|
2326 |
+
"loss": 0.1933,
|
2327 |
+
"step": 3260
|
2328 |
+
},
|
2329 |
+
{
|
2330 |
+
"epoch": 3.06,
|
2331 |
+
"grad_norm": 0.11883195489645004,
|
2332 |
+
"learning_rate": 2.1354705274043433e-05,
|
2333 |
+
"loss": 0.1123,
|
2334 |
+
"step": 3270
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 3.07,
|
2338 |
+
"grad_norm": 7.5306315422058105,
|
2339 |
+
"learning_rate": 2.125129265770424e-05,
|
2340 |
+
"loss": 0.1364,
|
2341 |
+
"step": 3280
|
2342 |
+
},
|
2343 |
+
{
|
2344 |
+
"epoch": 3.08,
|
2345 |
+
"grad_norm": 0.7140617370605469,
|
2346 |
+
"learning_rate": 2.1147880041365047e-05,
|
2347 |
+
"loss": 0.148,
|
2348 |
+
"step": 3290
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 3.09,
|
2352 |
+
"grad_norm": 0.9037841558456421,
|
2353 |
+
"learning_rate": 2.1044467425025854e-05,
|
2354 |
+
"loss": 0.0663,
|
2355 |
+
"step": 3300
|
2356 |
+
},
|
2357 |
+
{
|
2358 |
+
"epoch": 3.1,
|
2359 |
+
"grad_norm": 0.05070972070097923,
|
2360 |
+
"learning_rate": 2.094105480868666e-05,
|
2361 |
+
"loss": 0.0595,
|
2362 |
+
"step": 3310
|
2363 |
+
},
|
2364 |
+
{
|
2365 |
+
"epoch": 3.11,
|
2366 |
+
"grad_norm": 0.06952597945928574,
|
2367 |
+
"learning_rate": 2.0837642192347467e-05,
|
2368 |
+
"loss": 0.0802,
|
2369 |
+
"step": 3320
|
2370 |
+
},
|
2371 |
+
{
|
2372 |
+
"epoch": 3.12,
|
2373 |
+
"grad_norm": 0.09682538360357285,
|
2374 |
+
"learning_rate": 2.0734229576008274e-05,
|
2375 |
+
"loss": 0.0756,
|
2376 |
+
"step": 3330
|
2377 |
+
},
|
2378 |
+
{
|
2379 |
+
"epoch": 3.13,
|
2380 |
+
"grad_norm": 7.944037914276123,
|
2381 |
+
"learning_rate": 2.063081695966908e-05,
|
2382 |
+
"loss": 0.1648,
|
2383 |
+
"step": 3340
|
2384 |
+
},
|
2385 |
+
{
|
2386 |
+
"epoch": 3.14,
|
2387 |
+
"grad_norm": 0.049520719796419144,
|
2388 |
+
"learning_rate": 2.0527404343329888e-05,
|
2389 |
+
"loss": 0.2814,
|
2390 |
+
"step": 3350
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 3.15,
|
2394 |
+
"grad_norm": 0.12401607632637024,
|
2395 |
+
"learning_rate": 2.0423991726990694e-05,
|
2396 |
+
"loss": 0.1665,
|
2397 |
+
"step": 3360
|
2398 |
+
},
|
2399 |
+
{
|
2400 |
+
"epoch": 3.16,
|
2401 |
+
"grad_norm": 3.3132777214050293,
|
2402 |
+
"learning_rate": 2.03205791106515e-05,
|
2403 |
+
"loss": 0.2163,
|
2404 |
+
"step": 3370
|
2405 |
+
},
|
2406 |
+
{
|
2407 |
+
"epoch": 3.17,
|
2408 |
+
"grad_norm": 0.06092935800552368,
|
2409 |
+
"learning_rate": 2.0217166494312308e-05,
|
2410 |
+
"loss": 0.055,
|
2411 |
+
"step": 3380
|
2412 |
+
},
|
2413 |
+
{
|
2414 |
+
"epoch": 3.18,
|
2415 |
+
"grad_norm": 0.09410246461629868,
|
2416 |
+
"learning_rate": 2.011375387797311e-05,
|
2417 |
+
"loss": 0.0564,
|
2418 |
+
"step": 3390
|
2419 |
+
},
|
2420 |
+
{
|
2421 |
+
"epoch": 3.19,
|
2422 |
+
"grad_norm": 0.09851285070180893,
|
2423 |
+
"learning_rate": 2.0010341261633918e-05,
|
2424 |
+
"loss": 0.0996,
|
2425 |
+
"step": 3400
|
2426 |
+
},
|
2427 |
+
{
|
2428 |
+
"epoch": 3.2,
|
2429 |
+
"grad_norm": 0.15248961746692657,
|
2430 |
+
"learning_rate": 1.9906928645294725e-05,
|
2431 |
+
"loss": 0.202,
|
2432 |
+
"step": 3410
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 3.21,
|
2436 |
+
"grad_norm": 0.06347668915987015,
|
2437 |
+
"learning_rate": 1.980351602895553e-05,
|
2438 |
+
"loss": 0.0841,
|
2439 |
+
"step": 3420
|
2440 |
+
},
|
2441 |
+
{
|
2442 |
+
"epoch": 3.21,
|
2443 |
+
"grad_norm": 193.50746154785156,
|
2444 |
+
"learning_rate": 1.970010341261634e-05,
|
2445 |
+
"loss": 0.4587,
|
2446 |
+
"step": 3430
|
2447 |
+
},
|
2448 |
+
{
|
2449 |
+
"epoch": 3.22,
|
2450 |
+
"grad_norm": 0.1516660451889038,
|
2451 |
+
"learning_rate": 1.959669079627715e-05,
|
2452 |
+
"loss": 0.0655,
|
2453 |
+
"step": 3440
|
2454 |
+
},
|
2455 |
+
{
|
2456 |
+
"epoch": 3.23,
|
2457 |
+
"grad_norm": 0.42711296677589417,
|
2458 |
+
"learning_rate": 1.9493278179937955e-05,
|
2459 |
+
"loss": 0.1857,
|
2460 |
+
"step": 3450
|
2461 |
+
},
|
2462 |
+
{
|
2463 |
+
"epoch": 3.24,
|
2464 |
+
"grad_norm": 0.11023885011672974,
|
2465 |
+
"learning_rate": 1.9389865563598762e-05,
|
2466 |
+
"loss": 0.0828,
|
2467 |
+
"step": 3460
|
2468 |
+
},
|
2469 |
+
{
|
2470 |
+
"epoch": 3.25,
|
2471 |
+
"grad_norm": 0.061248745769262314,
|
2472 |
+
"learning_rate": 1.928645294725957e-05,
|
2473 |
+
"loss": 0.1167,
|
2474 |
+
"step": 3470
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 3.26,
|
2478 |
+
"grad_norm": 0.06203962489962578,
|
2479 |
+
"learning_rate": 1.9183040330920375e-05,
|
2480 |
+
"loss": 0.1089,
|
2481 |
+
"step": 3480
|
2482 |
+
},
|
2483 |
+
{
|
2484 |
+
"epoch": 3.27,
|
2485 |
+
"grad_norm": 19.638856887817383,
|
2486 |
+
"learning_rate": 1.907962771458118e-05,
|
2487 |
+
"loss": 0.1296,
|
2488 |
+
"step": 3490
|
2489 |
+
},
|
2490 |
+
{
|
2491 |
+
"epoch": 3.28,
|
2492 |
+
"grad_norm": 0.05891411006450653,
|
2493 |
+
"learning_rate": 1.8976215098241985e-05,
|
2494 |
+
"loss": 0.0137,
|
2495 |
+
"step": 3500
|
2496 |
+
},
|
2497 |
+
{
|
2498 |
+
"epoch": 3.29,
|
2499 |
+
"grad_norm": 0.10509899258613586,
|
2500 |
+
"learning_rate": 1.8872802481902792e-05,
|
2501 |
+
"loss": 0.0542,
|
2502 |
+
"step": 3510
|
2503 |
+
},
|
2504 |
+
{
|
2505 |
+
"epoch": 3.3,
|
2506 |
+
"grad_norm": 3.27602481842041,
|
2507 |
+
"learning_rate": 1.87693898655636e-05,
|
2508 |
+
"loss": 0.1655,
|
2509 |
+
"step": 3520
|
2510 |
+
},
|
2511 |
+
{
|
2512 |
+
"epoch": 3.31,
|
2513 |
+
"grad_norm": 0.08927629142999649,
|
2514 |
+
"learning_rate": 1.8665977249224406e-05,
|
2515 |
+
"loss": 0.0737,
|
2516 |
+
"step": 3530
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 3.32,
|
2520 |
+
"grad_norm": 0.2776730954647064,
|
2521 |
+
"learning_rate": 1.8562564632885213e-05,
|
2522 |
+
"loss": 0.1569,
|
2523 |
+
"step": 3540
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 3.33,
|
2527 |
+
"grad_norm": 3.598266124725342,
|
2528 |
+
"learning_rate": 1.845915201654602e-05,
|
2529 |
+
"loss": 0.3042,
|
2530 |
+
"step": 3550
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 3.34,
|
2534 |
+
"grad_norm": 3.0984160900115967,
|
2535 |
+
"learning_rate": 1.8355739400206826e-05,
|
2536 |
+
"loss": 0.1836,
|
2537 |
+
"step": 3560
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 3.35,
|
2541 |
+
"grad_norm": 0.09482892602682114,
|
2542 |
+
"learning_rate": 1.8252326783867633e-05,
|
2543 |
+
"loss": 0.0684,
|
2544 |
+
"step": 3570
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 3.36,
|
2548 |
+
"grad_norm": 4.153615474700928,
|
2549 |
+
"learning_rate": 1.814891416752844e-05,
|
2550 |
+
"loss": 0.188,
|
2551 |
+
"step": 3580
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 3.36,
|
2555 |
+
"grad_norm": 241.65493774414062,
|
2556 |
+
"learning_rate": 1.8045501551189246e-05,
|
2557 |
+
"loss": 0.1741,
|
2558 |
+
"step": 3590
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 3.37,
|
2562 |
+
"grad_norm": 0.13454625010490417,
|
2563 |
+
"learning_rate": 1.7942088934850053e-05,
|
2564 |
+
"loss": 0.0606,
|
2565 |
+
"step": 3600
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 3.38,
|
2569 |
+
"grad_norm": 0.12659063935279846,
|
2570 |
+
"learning_rate": 1.7838676318510856e-05,
|
2571 |
+
"loss": 0.0743,
|
2572 |
+
"step": 3610
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 3.39,
|
2576 |
+
"grad_norm": 0.12111490219831467,
|
2577 |
+
"learning_rate": 1.7735263702171663e-05,
|
2578 |
+
"loss": 0.0042,
|
2579 |
+
"step": 3620
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 3.4,
|
2583 |
+
"grad_norm": 3.1387064456939697,
|
2584 |
+
"learning_rate": 1.7631851085832473e-05,
|
2585 |
+
"loss": 0.3181,
|
2586 |
+
"step": 3630
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 3.41,
|
2590 |
+
"grad_norm": 66.55416870117188,
|
2591 |
+
"learning_rate": 1.752843846949328e-05,
|
2592 |
+
"loss": 0.1883,
|
2593 |
+
"step": 3640
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 3.42,
|
2597 |
+
"grad_norm": 9.684922218322754,
|
2598 |
+
"learning_rate": 1.7425025853154087e-05,
|
2599 |
+
"loss": 0.129,
|
2600 |
+
"step": 3650
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 3.43,
|
2604 |
+
"grad_norm": 0.1191384568810463,
|
2605 |
+
"learning_rate": 1.7321613236814894e-05,
|
2606 |
+
"loss": 0.1684,
|
2607 |
+
"step": 3660
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 3.44,
|
2611 |
+
"grad_norm": 0.09780813008546829,
|
2612 |
+
"learning_rate": 1.72182006204757e-05,
|
2613 |
+
"loss": 0.0052,
|
2614 |
+
"step": 3670
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 3.45,
|
2618 |
+
"grad_norm": 3.4690449237823486,
|
2619 |
+
"learning_rate": 1.7114788004136507e-05,
|
2620 |
+
"loss": 0.2599,
|
2621 |
+
"step": 3680
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 3.46,
|
2625 |
+
"grad_norm": 0.1335831582546234,
|
2626 |
+
"learning_rate": 1.7011375387797314e-05,
|
2627 |
+
"loss": 0.2327,
|
2628 |
+
"step": 3690
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 3.47,
|
2632 |
+
"grad_norm": 0.1467386782169342,
|
2633 |
+
"learning_rate": 1.690796277145812e-05,
|
2634 |
+
"loss": 0.1308,
|
2635 |
+
"step": 3700
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 3.48,
|
2639 |
+
"grad_norm": 373.8140869140625,
|
2640 |
+
"learning_rate": 1.6804550155118924e-05,
|
2641 |
+
"loss": 0.2381,
|
2642 |
+
"step": 3710
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 3.49,
|
2646 |
+
"grad_norm": 0.08402853459119797,
|
2647 |
+
"learning_rate": 1.670113753877973e-05,
|
2648 |
+
"loss": 0.0955,
|
2649 |
+
"step": 3720
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 3.5,
|
2653 |
+
"grad_norm": 171.42713928222656,
|
2654 |
+
"learning_rate": 1.6597724922440538e-05,
|
2655 |
+
"loss": 0.127,
|
2656 |
+
"step": 3730
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 3.51,
|
2660 |
+
"grad_norm": 0.11677587032318115,
|
2661 |
+
"learning_rate": 1.6494312306101344e-05,
|
2662 |
+
"loss": 0.0415,
|
2663 |
+
"step": 3740
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 3.51,
|
2667 |
+
"grad_norm": 0.0933157354593277,
|
2668 |
+
"learning_rate": 1.639089968976215e-05,
|
2669 |
+
"loss": 0.1434,
|
2670 |
+
"step": 3750
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 3.52,
|
2674 |
+
"grad_norm": 0.06422335654497147,
|
2675 |
+
"learning_rate": 1.6287487073422958e-05,
|
2676 |
+
"loss": 0.2715,
|
2677 |
+
"step": 3760
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 3.53,
|
2681 |
+
"grad_norm": 0.08810001611709595,
|
2682 |
+
"learning_rate": 1.6184074457083765e-05,
|
2683 |
+
"loss": 0.077,
|
2684 |
+
"step": 3770
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 3.54,
|
2688 |
+
"grad_norm": 0.08342567831277847,
|
2689 |
+
"learning_rate": 1.608066184074457e-05,
|
2690 |
+
"loss": 0.2652,
|
2691 |
+
"step": 3780
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 3.55,
|
2695 |
+
"grad_norm": 0.10808378458023071,
|
2696 |
+
"learning_rate": 1.5977249224405378e-05,
|
2697 |
+
"loss": 0.0818,
|
2698 |
+
"step": 3790
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 3.56,
|
2702 |
+
"grad_norm": 0.06099862605333328,
|
2703 |
+
"learning_rate": 1.5873836608066185e-05,
|
2704 |
+
"loss": 0.195,
|
2705 |
+
"step": 3800
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 3.57,
|
2709 |
+
"grad_norm": 17.37858772277832,
|
2710 |
+
"learning_rate": 1.577042399172699e-05,
|
2711 |
+
"loss": 0.2626,
|
2712 |
+
"step": 3810
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 3.58,
|
2716 |
+
"grad_norm": 0.15915565192699432,
|
2717 |
+
"learning_rate": 1.56670113753878e-05,
|
2718 |
+
"loss": 0.0859,
|
2719 |
+
"step": 3820
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 3.59,
|
2723 |
+
"grad_norm": 13.893326759338379,
|
2724 |
+
"learning_rate": 1.5563598759048605e-05,
|
2725 |
+
"loss": 0.1901,
|
2726 |
+
"step": 3830
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 3.6,
|
2730 |
+
"grad_norm": 0.19214822351932526,
|
2731 |
+
"learning_rate": 1.5460186142709412e-05,
|
2732 |
+
"loss": 0.1584,
|
2733 |
+
"step": 3840
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 3.61,
|
2737 |
+
"grad_norm": 0.07823023200035095,
|
2738 |
+
"learning_rate": 1.535677352637022e-05,
|
2739 |
+
"loss": 0.1354,
|
2740 |
+
"step": 3850
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 3.62,
|
2744 |
+
"grad_norm": 0.2098669558763504,
|
2745 |
+
"learning_rate": 1.5253360910031025e-05,
|
2746 |
+
"loss": 0.2055,
|
2747 |
+
"step": 3860
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 3.63,
|
2751 |
+
"grad_norm": 3.7674732208251953,
|
2752 |
+
"learning_rate": 1.5149948293691832e-05,
|
2753 |
+
"loss": 0.1174,
|
2754 |
+
"step": 3870
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 3.64,
|
2758 |
+
"grad_norm": 0.2199217975139618,
|
2759 |
+
"learning_rate": 1.5046535677352639e-05,
|
2760 |
+
"loss": 0.2572,
|
2761 |
+
"step": 3880
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 3.65,
|
2765 |
+
"grad_norm": 13.79918098449707,
|
2766 |
+
"learning_rate": 1.4943123061013446e-05,
|
2767 |
+
"loss": 0.1485,
|
2768 |
+
"step": 3890
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 3.66,
|
2772 |
+
"grad_norm": 57.75919723510742,
|
2773 |
+
"learning_rate": 1.483971044467425e-05,
|
2774 |
+
"loss": 0.2868,
|
2775 |
+
"step": 3900
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 3.66,
|
2779 |
+
"grad_norm": 0.26549792289733887,
|
2780 |
+
"learning_rate": 1.4736297828335057e-05,
|
2781 |
+
"loss": 0.1935,
|
2782 |
+
"step": 3910
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 3.67,
|
2786 |
+
"grad_norm": 0.11525550484657288,
|
2787 |
+
"learning_rate": 1.4632885211995864e-05,
|
2788 |
+
"loss": 0.1079,
|
2789 |
+
"step": 3920
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 3.68,
|
2793 |
+
"grad_norm": 0.11162678152322769,
|
2794 |
+
"learning_rate": 1.4529472595656671e-05,
|
2795 |
+
"loss": 0.2091,
|
2796 |
+
"step": 3930
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 3.69,
|
2800 |
+
"grad_norm": 0.18426716327667236,
|
2801 |
+
"learning_rate": 1.4426059979317478e-05,
|
2802 |
+
"loss": 0.188,
|
2803 |
+
"step": 3940
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 3.7,
|
2807 |
+
"grad_norm": 0.4274304509162903,
|
2808 |
+
"learning_rate": 1.4322647362978284e-05,
|
2809 |
+
"loss": 0.272,
|
2810 |
+
"step": 3950
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 3.71,
|
2814 |
+
"grad_norm": 0.33479902148246765,
|
2815 |
+
"learning_rate": 1.421923474663909e-05,
|
2816 |
+
"loss": 0.0622,
|
2817 |
+
"step": 3960
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 3.72,
|
2821 |
+
"grad_norm": 0.14429700374603271,
|
2822 |
+
"learning_rate": 1.4115822130299896e-05,
|
2823 |
+
"loss": 0.3126,
|
2824 |
+
"step": 3970
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 3.73,
|
2828 |
+
"grad_norm": 17.044048309326172,
|
2829 |
+
"learning_rate": 1.4012409513960703e-05,
|
2830 |
+
"loss": 0.1594,
|
2831 |
+
"step": 3980
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 3.74,
|
2835 |
+
"grad_norm": 0.23532900214195251,
|
2836 |
+
"learning_rate": 1.390899689762151e-05,
|
2837 |
+
"loss": 0.1205,
|
2838 |
+
"step": 3990
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 3.75,
|
2842 |
+
"grad_norm": 0.15815971791744232,
|
2843 |
+
"learning_rate": 1.3805584281282317e-05,
|
2844 |
+
"loss": 0.1607,
|
2845 |
+
"step": 4000
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 3.76,
|
2849 |
+
"grad_norm": 0.1729772984981537,
|
2850 |
+
"learning_rate": 1.3702171664943123e-05,
|
2851 |
+
"loss": 0.0638,
|
2852 |
+
"step": 4010
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 3.77,
|
2856 |
+
"grad_norm": 10.028935432434082,
|
2857 |
+
"learning_rate": 1.3598759048603928e-05,
|
2858 |
+
"loss": 0.1221,
|
2859 |
+
"step": 4020
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 3.78,
|
2863 |
+
"grad_norm": 0.1198321133852005,
|
2864 |
+
"learning_rate": 1.3495346432264739e-05,
|
2865 |
+
"loss": 0.2659,
|
2866 |
+
"step": 4030
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 3.79,
|
2870 |
+
"grad_norm": 0.061706289649009705,
|
2871 |
+
"learning_rate": 1.3391933815925545e-05,
|
2872 |
+
"loss": 0.0927,
|
2873 |
+
"step": 4040
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 3.8,
|
2877 |
+
"grad_norm": 18.801136016845703,
|
2878 |
+
"learning_rate": 1.3288521199586352e-05,
|
2879 |
+
"loss": 0.3013,
|
2880 |
+
"step": 4050
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 3.81,
|
2884 |
+
"grad_norm": 3.1690914630889893,
|
2885 |
+
"learning_rate": 1.3185108583247157e-05,
|
2886 |
+
"loss": 0.1682,
|
2887 |
+
"step": 4060
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 3.81,
|
2891 |
+
"grad_norm": 1.2492997646331787,
|
2892 |
+
"learning_rate": 1.3081695966907964e-05,
|
2893 |
+
"loss": 0.1623,
|
2894 |
+
"step": 4070
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 3.82,
|
2898 |
+
"grad_norm": 0.12981970608234406,
|
2899 |
+
"learning_rate": 1.297828335056877e-05,
|
2900 |
+
"loss": 0.091,
|
2901 |
+
"step": 4080
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 3.83,
|
2905 |
+
"grad_norm": 1.0257341861724854,
|
2906 |
+
"learning_rate": 1.2874870734229577e-05,
|
2907 |
+
"loss": 0.3142,
|
2908 |
+
"step": 4090
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 3.84,
|
2912 |
+
"grad_norm": 0.25799766182899475,
|
2913 |
+
"learning_rate": 1.2771458117890384e-05,
|
2914 |
+
"loss": 0.1454,
|
2915 |
+
"step": 4100
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 3.85,
|
2919 |
+
"grad_norm": 40.982479095458984,
|
2920 |
+
"learning_rate": 1.2668045501551191e-05,
|
2921 |
+
"loss": 0.1361,
|
2922 |
+
"step": 4110
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 3.86,
|
2926 |
+
"grad_norm": 0.11332831531763077,
|
2927 |
+
"learning_rate": 1.2564632885211996e-05,
|
2928 |
+
"loss": 0.0518,
|
2929 |
+
"step": 4120
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 3.87,
|
2933 |
+
"grad_norm": 0.04680272936820984,
|
2934 |
+
"learning_rate": 1.2461220268872803e-05,
|
2935 |
+
"loss": 0.1327,
|
2936 |
+
"step": 4130
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 3.88,
|
2940 |
+
"grad_norm": 0.40334421396255493,
|
2941 |
+
"learning_rate": 1.235780765253361e-05,
|
2942 |
+
"loss": 0.2707,
|
2943 |
+
"step": 4140
|
2944 |
+
},
|
2945 |
+
{
|
2946 |
+
"epoch": 3.89,
|
2947 |
+
"grad_norm": 0.09748423099517822,
|
2948 |
+
"learning_rate": 1.2254395036194416e-05,
|
2949 |
+
"loss": 0.081,
|
2950 |
+
"step": 4150
|
2951 |
+
},
|
2952 |
+
{
|
2953 |
+
"epoch": 3.9,
|
2954 |
+
"grad_norm": 0.09192584455013275,
|
2955 |
+
"learning_rate": 1.2150982419855223e-05,
|
2956 |
+
"loss": 0.2279,
|
2957 |
+
"step": 4160
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 3.91,
|
2961 |
+
"grad_norm": 0.05917090177536011,
|
2962 |
+
"learning_rate": 1.204756980351603e-05,
|
2963 |
+
"loss": 0.0764,
|
2964 |
+
"step": 4170
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 3.92,
|
2968 |
+
"grad_norm": 10.152327537536621,
|
2969 |
+
"learning_rate": 1.1944157187176836e-05,
|
2970 |
+
"loss": 0.1237,
|
2971 |
+
"step": 4180
|
2972 |
+
},
|
2973 |
+
{
|
2974 |
+
"epoch": 3.93,
|
2975 |
+
"grad_norm": 0.07578109949827194,
|
2976 |
+
"learning_rate": 1.1840744570837643e-05,
|
2977 |
+
"loss": 0.136,
|
2978 |
+
"step": 4190
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 3.94,
|
2982 |
+
"grad_norm": 0.13006837666034698,
|
2983 |
+
"learning_rate": 1.173733195449845e-05,
|
2984 |
+
"loss": 0.0878,
|
2985 |
+
"step": 4200
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 3.95,
|
2989 |
+
"grad_norm": 0.2893955111503601,
|
2990 |
+
"learning_rate": 1.1633919338159257e-05,
|
2991 |
+
"loss": 0.1322,
|
2992 |
+
"step": 4210
|
2993 |
+
},
|
2994 |
+
{
|
2995 |
+
"epoch": 3.96,
|
2996 |
+
"grad_norm": 0.04363380745053291,
|
2997 |
+
"learning_rate": 1.1530506721820064e-05,
|
2998 |
+
"loss": 0.0566,
|
2999 |
+
"step": 4220
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 3.96,
|
3003 |
+
"grad_norm": 17.78626823425293,
|
3004 |
+
"learning_rate": 1.1427094105480869e-05,
|
3005 |
+
"loss": 0.1348,
|
3006 |
+
"step": 4230
|
3007 |
+
},
|
3008 |
+
{
|
3009 |
+
"epoch": 3.97,
|
3010 |
+
"grad_norm": 0.08856278657913208,
|
3011 |
+
"learning_rate": 1.1323681489141675e-05,
|
3012 |
+
"loss": 0.0527,
|
3013 |
+
"step": 4240
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 3.98,
|
3017 |
+
"grad_norm": 3.122804880142212,
|
3018 |
+
"learning_rate": 1.1220268872802482e-05,
|
3019 |
+
"loss": 0.1003,
|
3020 |
+
"step": 4250
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 3.99,
|
3024 |
+
"grad_norm": 0.032136429101228714,
|
3025 |
+
"learning_rate": 1.1116856256463289e-05,
|
3026 |
+
"loss": 0.1428,
|
3027 |
+
"step": 4260
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 4.0,
|
3031 |
+
"eval_accuracy": 0.8799249530956847,
|
3032 |
+
"eval_f1": 0.8801498127340824,
|
3033 |
+
"eval_loss": 0.6459251046180725,
|
3034 |
+
"eval_precision": 0.8768656716417911,
|
3035 |
+
"eval_recall": 0.8834586466165414,
|
3036 |
+
"eval_runtime": 1.6082,
|
3037 |
+
"eval_samples_per_second": 331.423,
|
3038 |
+
"eval_steps_per_second": 41.661,
|
3039 |
+
"step": 4268
|
3040 |
+
},
|
3041 |
+
{
|
3042 |
+
"epoch": 4.0,
|
3043 |
+
"grad_norm": 12.53495979309082,
|
3044 |
+
"learning_rate": 1.1013443640124096e-05,
|
3045 |
+
"loss": 0.2006,
|
3046 |
+
"step": 4270
|
3047 |
+
},
|
3048 |
+
{
|
3049 |
+
"epoch": 4.01,
|
3050 |
+
"grad_norm": 0.36368077993392944,
|
3051 |
+
"learning_rate": 1.0910031023784902e-05,
|
3052 |
+
"loss": 0.0682,
|
3053 |
+
"step": 4280
|
3054 |
+
},
|
3055 |
+
{
|
3056 |
+
"epoch": 4.02,
|
3057 |
+
"grad_norm": 0.036783114075660706,
|
3058 |
+
"learning_rate": 1.0806618407445709e-05,
|
3059 |
+
"loss": 0.0578,
|
3060 |
+
"step": 4290
|
3061 |
+
},
|
3062 |
+
{
|
3063 |
+
"epoch": 4.03,
|
3064 |
+
"grad_norm": 0.032453957945108414,
|
3065 |
+
"learning_rate": 1.0703205791106516e-05,
|
3066 |
+
"loss": 0.0511,
|
3067 |
+
"step": 4300
|
3068 |
+
},
|
3069 |
+
{
|
3070 |
+
"epoch": 4.04,
|
3071 |
+
"grad_norm": 0.0314195491373539,
|
3072 |
+
"learning_rate": 1.0599793174767323e-05,
|
3073 |
+
"loss": 0.0016,
|
3074 |
+
"step": 4310
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 4.05,
|
3078 |
+
"grad_norm": 0.34390100836753845,
|
3079 |
+
"learning_rate": 1.049638055842813e-05,
|
3080 |
+
"loss": 0.063,
|
3081 |
+
"step": 4320
|
3082 |
+
},
|
3083 |
+
{
|
3084 |
+
"epoch": 4.06,
|
3085 |
+
"grad_norm": 0.08080201596021652,
|
3086 |
+
"learning_rate": 1.0392967942088936e-05,
|
3087 |
+
"loss": 0.0625,
|
3088 |
+
"step": 4330
|
3089 |
+
},
|
3090 |
+
{
|
3091 |
+
"epoch": 4.07,
|
3092 |
+
"grad_norm": 0.07401977479457855,
|
3093 |
+
"learning_rate": 1.0289555325749741e-05,
|
3094 |
+
"loss": 0.1792,
|
3095 |
+
"step": 4340
|
3096 |
+
},
|
3097 |
+
{
|
3098 |
+
"epoch": 4.08,
|
3099 |
+
"grad_norm": 0.02694222889840603,
|
3100 |
+
"learning_rate": 1.0186142709410548e-05,
|
3101 |
+
"loss": 0.064,
|
3102 |
+
"step": 4350
|
3103 |
+
},
|
3104 |
+
{
|
3105 |
+
"epoch": 4.09,
|
3106 |
+
"grad_norm": 5.257876396179199,
|
3107 |
+
"learning_rate": 1.0082730093071355e-05,
|
3108 |
+
"loss": 0.094,
|
3109 |
+
"step": 4360
|
3110 |
+
},
|
3111 |
+
{
|
3112 |
+
"epoch": 4.1,
|
3113 |
+
"grad_norm": 0.13338564336299896,
|
3114 |
+
"learning_rate": 9.979317476732161e-06,
|
3115 |
+
"loss": 0.0827,
|
3116 |
+
"step": 4370
|
3117 |
+
},
|
3118 |
+
{
|
3119 |
+
"epoch": 4.1,
|
3120 |
+
"grad_norm": 0.04957311972975731,
|
3121 |
+
"learning_rate": 9.875904860392968e-06,
|
3122 |
+
"loss": 0.224,
|
3123 |
+
"step": 4380
|
3124 |
+
},
|
3125 |
+
{
|
3126 |
+
"epoch": 4.11,
|
3127 |
+
"grad_norm": 0.3861539363861084,
|
3128 |
+
"learning_rate": 9.772492244053775e-06,
|
3129 |
+
"loss": 0.0612,
|
3130 |
+
"step": 4390
|
3131 |
+
},
|
3132 |
+
{
|
3133 |
+
"epoch": 4.12,
|
3134 |
+
"grad_norm": 0.1312892585992813,
|
3135 |
+
"learning_rate": 9.669079627714582e-06,
|
3136 |
+
"loss": 0.1828,
|
3137 |
+
"step": 4400
|
3138 |
+
},
|
3139 |
+
{
|
3140 |
+
"epoch": 4.13,
|
3141 |
+
"grad_norm": 0.11486046761274338,
|
3142 |
+
"learning_rate": 9.565667011375389e-06,
|
3143 |
+
"loss": 0.0034,
|
3144 |
+
"step": 4410
|
3145 |
+
},
|
3146 |
+
{
|
3147 |
+
"epoch": 4.14,
|
3148 |
+
"grad_norm": 0.09139719605445862,
|
3149 |
+
"learning_rate": 9.462254395036195e-06,
|
3150 |
+
"loss": 0.079,
|
3151 |
+
"step": 4420
|
3152 |
+
},
|
3153 |
+
{
|
3154 |
+
"epoch": 4.15,
|
3155 |
+
"grad_norm": 0.033867135643959045,
|
3156 |
+
"learning_rate": 9.358841778697002e-06,
|
3157 |
+
"loss": 0.0016,
|
3158 |
+
"step": 4430
|
3159 |
+
},
|
3160 |
+
{
|
3161 |
+
"epoch": 4.16,
|
3162 |
+
"grad_norm": 0.30136638879776,
|
3163 |
+
"learning_rate": 9.255429162357807e-06,
|
3164 |
+
"loss": 0.0799,
|
3165 |
+
"step": 4440
|
3166 |
+
},
|
3167 |
+
{
|
3168 |
+
"epoch": 4.17,
|
3169 |
+
"grad_norm": 0.03786735609173775,
|
3170 |
+
"learning_rate": 9.152016546018614e-06,
|
3171 |
+
"loss": 0.2652,
|
3172 |
+
"step": 4450
|
3173 |
+
},
|
3174 |
+
{
|
3175 |
+
"epoch": 4.18,
|
3176 |
+
"grad_norm": 0.047059349715709686,
|
3177 |
+
"learning_rate": 9.04860392967942e-06,
|
3178 |
+
"loss": 0.0014,
|
3179 |
+
"step": 4460
|
3180 |
+
},
|
3181 |
+
{
|
3182 |
+
"epoch": 4.19,
|
3183 |
+
"grad_norm": 0.054901909083127975,
|
3184 |
+
"learning_rate": 8.945191313340227e-06,
|
3185 |
+
"loss": 0.0509,
|
3186 |
+
"step": 4470
|
3187 |
+
},
|
3188 |
+
{
|
3189 |
+
"epoch": 4.2,
|
3190 |
+
"grad_norm": 227.820556640625,
|
3191 |
+
"learning_rate": 8.841778697001036e-06,
|
3192 |
+
"loss": 0.0222,
|
3193 |
+
"step": 4480
|
3194 |
+
},
|
3195 |
+
{
|
3196 |
+
"epoch": 4.21,
|
3197 |
+
"grad_norm": 0.043635886162519455,
|
3198 |
+
"learning_rate": 8.738366080661841e-06,
|
3199 |
+
"loss": 0.0011,
|
3200 |
+
"step": 4490
|
3201 |
+
},
|
3202 |
+
{
|
3203 |
+
"epoch": 4.22,
|
3204 |
+
"grad_norm": 0.0816226452589035,
|
3205 |
+
"learning_rate": 8.634953464322648e-06,
|
3206 |
+
"loss": 0.0873,
|
3207 |
+
"step": 4500
|
3208 |
+
},
|
3209 |
+
{
|
3210 |
+
"epoch": 4.23,
|
3211 |
+
"grad_norm": 0.07973457872867584,
|
3212 |
+
"learning_rate": 8.531540847983454e-06,
|
3213 |
+
"loss": 0.0016,
|
3214 |
+
"step": 4510
|
3215 |
+
},
|
3216 |
+
{
|
3217 |
+
"epoch": 4.24,
|
3218 |
+
"grad_norm": 0.03563067317008972,
|
3219 |
+
"learning_rate": 8.428128231644261e-06,
|
3220 |
+
"loss": 0.0758,
|
3221 |
+
"step": 4520
|
3222 |
+
},
|
3223 |
+
{
|
3224 |
+
"epoch": 4.25,
|
3225 |
+
"grad_norm": 0.09928788989782333,
|
3226 |
+
"learning_rate": 8.324715615305068e-06,
|
3227 |
+
"loss": 0.0595,
|
3228 |
+
"step": 4530
|
3229 |
+
},
|
3230 |
+
{
|
3231 |
+
"epoch": 4.25,
|
3232 |
+
"grad_norm": 0.027137843891978264,
|
3233 |
+
"learning_rate": 8.221302998965875e-06,
|
3234 |
+
"loss": 0.0263,
|
3235 |
+
"step": 4540
|
3236 |
+
},
|
3237 |
+
{
|
3238 |
+
"epoch": 4.26,
|
3239 |
+
"grad_norm": 0.021461045369505882,
|
3240 |
+
"learning_rate": 8.11789038262668e-06,
|
3241 |
+
"loss": 0.0635,
|
3242 |
+
"step": 4550
|
3243 |
+
},
|
3244 |
+
{
|
3245 |
+
"epoch": 4.27,
|
3246 |
+
"grad_norm": 0.026392286643385887,
|
3247 |
+
"learning_rate": 8.014477766287486e-06,
|
3248 |
+
"loss": 0.2159,
|
3249 |
+
"step": 4560
|
3250 |
+
},
|
3251 |
+
{
|
3252 |
+
"epoch": 4.28,
|
3253 |
+
"grad_norm": 15.914426803588867,
|
3254 |
+
"learning_rate": 7.911065149948293e-06,
|
3255 |
+
"loss": 0.0597,
|
3256 |
+
"step": 4570
|
3257 |
+
},
|
3258 |
+
{
|
3259 |
+
"epoch": 4.29,
|
3260 |
+
"grad_norm": 0.028651505708694458,
|
3261 |
+
"learning_rate": 7.807652533609102e-06,
|
3262 |
+
"loss": 0.0014,
|
3263 |
+
"step": 4580
|
3264 |
+
},
|
3265 |
+
{
|
3266 |
+
"epoch": 4.3,
|
3267 |
+
"grad_norm": 0.07976741343736649,
|
3268 |
+
"learning_rate": 7.704239917269908e-06,
|
3269 |
+
"loss": 0.0019,
|
3270 |
+
"step": 4590
|
3271 |
+
},
|
3272 |
+
{
|
3273 |
+
"epoch": 4.31,
|
3274 |
+
"grad_norm": 0.7245219945907593,
|
3275 |
+
"learning_rate": 7.600827300930714e-06,
|
3276 |
+
"loss": 0.1196,
|
3277 |
+
"step": 4600
|
3278 |
+
},
|
3279 |
+
{
|
3280 |
+
"epoch": 4.32,
|
3281 |
+
"grad_norm": 3.421379327774048,
|
3282 |
+
"learning_rate": 7.497414684591521e-06,
|
3283 |
+
"loss": 0.1707,
|
3284 |
+
"step": 4610
|
3285 |
+
},
|
3286 |
+
{
|
3287 |
+
"epoch": 4.33,
|
3288 |
+
"grad_norm": 54.59723663330078,
|
3289 |
+
"learning_rate": 7.394002068252327e-06,
|
3290 |
+
"loss": 0.1257,
|
3291 |
+
"step": 4620
|
3292 |
+
},
|
3293 |
+
{
|
3294 |
+
"epoch": 4.34,
|
3295 |
+
"grad_norm": 0.02159339189529419,
|
3296 |
+
"learning_rate": 7.290589451913134e-06,
|
3297 |
+
"loss": 0.0011,
|
3298 |
+
"step": 4630
|
3299 |
+
},
|
3300 |
+
{
|
3301 |
+
"epoch": 4.35,
|
3302 |
+
"grad_norm": 0.02801990881562233,
|
3303 |
+
"learning_rate": 7.1871768355739405e-06,
|
3304 |
+
"loss": 0.0013,
|
3305 |
+
"step": 4640
|
3306 |
+
},
|
3307 |
+
{
|
3308 |
+
"epoch": 4.36,
|
3309 |
+
"grad_norm": 0.12835495173931122,
|
3310 |
+
"learning_rate": 7.0837642192347465e-06,
|
3311 |
+
"loss": 0.1343,
|
3312 |
+
"step": 4650
|
3313 |
+
},
|
3314 |
+
{
|
3315 |
+
"epoch": 4.37,
|
3316 |
+
"grad_norm": 0.06059630960226059,
|
3317 |
+
"learning_rate": 6.980351602895553e-06,
|
3318 |
+
"loss": 0.0029,
|
3319 |
+
"step": 4660
|
3320 |
+
},
|
3321 |
+
{
|
3322 |
+
"epoch": 4.38,
|
3323 |
+
"grad_norm": 0.021486638113856316,
|
3324 |
+
"learning_rate": 6.87693898655636e-06,
|
3325 |
+
"loss": 0.0872,
|
3326 |
+
"step": 4670
|
3327 |
+
},
|
3328 |
+
{
|
3329 |
+
"epoch": 4.39,
|
3330 |
+
"grad_norm": 0.024658987298607826,
|
3331 |
+
"learning_rate": 6.773526370217166e-06,
|
3332 |
+
"loss": 0.0013,
|
3333 |
+
"step": 4680
|
3334 |
+
},
|
3335 |
+
{
|
3336 |
+
"epoch": 4.4,
|
3337 |
+
"grad_norm": 0.020257245749235153,
|
3338 |
+
"learning_rate": 6.670113753877974e-06,
|
3339 |
+
"loss": 0.0012,
|
3340 |
+
"step": 4690
|
3341 |
+
},
|
3342 |
+
{
|
3343 |
+
"epoch": 4.4,
|
3344 |
+
"grad_norm": 0.022628970444202423,
|
3345 |
+
"learning_rate": 6.56670113753878e-06,
|
3346 |
+
"loss": 0.0879,
|
3347 |
+
"step": 4700
|
3348 |
+
},
|
3349 |
+
{
|
3350 |
+
"epoch": 4.41,
|
3351 |
+
"grad_norm": 0.17840439081192017,
|
3352 |
+
"learning_rate": 6.463288521199587e-06,
|
3353 |
+
"loss": 0.1423,
|
3354 |
+
"step": 4710
|
3355 |
+
},
|
3356 |
+
{
|
3357 |
+
"epoch": 4.42,
|
3358 |
+
"grad_norm": 248.1060333251953,
|
3359 |
+
"learning_rate": 6.359875904860394e-06,
|
3360 |
+
"loss": 0.1144,
|
3361 |
+
"step": 4720
|
3362 |
+
},
|
3363 |
+
{
|
3364 |
+
"epoch": 4.43,
|
3365 |
+
"grad_norm": 3.23333740234375,
|
3366 |
+
"learning_rate": 6.2564632885212e-06,
|
3367 |
+
"loss": 0.0923,
|
3368 |
+
"step": 4730
|
3369 |
+
},
|
3370 |
+
{
|
3371 |
+
"epoch": 4.44,
|
3372 |
+
"grad_norm": 0.022127114236354828,
|
3373 |
+
"learning_rate": 6.153050672182006e-06,
|
3374 |
+
"loss": 0.1237,
|
3375 |
+
"step": 4740
|
3376 |
+
},
|
3377 |
+
{
|
3378 |
+
"epoch": 4.45,
|
3379 |
+
"grad_norm": 0.03299199789762497,
|
3380 |
+
"learning_rate": 6.049638055842813e-06,
|
3381 |
+
"loss": 0.0742,
|
3382 |
+
"step": 4750
|
3383 |
+
},
|
3384 |
+
{
|
3385 |
+
"epoch": 4.46,
|
3386 |
+
"grad_norm": 0.041477978229522705,
|
3387 |
+
"learning_rate": 5.94622543950362e-06,
|
3388 |
+
"loss": 0.0012,
|
3389 |
+
"step": 4760
|
3390 |
+
},
|
3391 |
+
{
|
3392 |
+
"epoch": 4.47,
|
3393 |
+
"grad_norm": 0.28576919436454773,
|
3394 |
+
"learning_rate": 5.842812823164427e-06,
|
3395 |
+
"loss": 0.0737,
|
3396 |
+
"step": 4770
|
3397 |
+
},
|
3398 |
+
{
|
3399 |
+
"epoch": 4.48,
|
3400 |
+
"grad_norm": 0.03505215421319008,
|
3401 |
+
"learning_rate": 5.739400206825233e-06,
|
3402 |
+
"loss": 0.168,
|
3403 |
+
"step": 4780
|
3404 |
+
},
|
3405 |
+
{
|
3406 |
+
"epoch": 4.49,
|
3407 |
+
"grad_norm": 0.023467887192964554,
|
3408 |
+
"learning_rate": 5.635987590486039e-06,
|
3409 |
+
"loss": 0.0011,
|
3410 |
+
"step": 4790
|
3411 |
+
},
|
3412 |
+
{
|
3413 |
+
"epoch": 4.5,
|
3414 |
+
"grad_norm": 0.0256861113011837,
|
3415 |
+
"learning_rate": 5.532574974146846e-06,
|
3416 |
+
"loss": 0.1276,
|
3417 |
+
"step": 4800
|
3418 |
+
},
|
3419 |
+
{
|
3420 |
+
"epoch": 4.51,
|
3421 |
+
"grad_norm": 89.85589599609375,
|
3422 |
+
"learning_rate": 5.429162357807653e-06,
|
3423 |
+
"loss": 0.0627,
|
3424 |
+
"step": 4810
|
3425 |
+
},
|
3426 |
+
{
|
3427 |
+
"epoch": 4.52,
|
3428 |
+
"grad_norm": 0.019946351647377014,
|
3429 |
+
"learning_rate": 5.32574974146846e-06,
|
3430 |
+
"loss": 0.0012,
|
3431 |
+
"step": 4820
|
3432 |
+
},
|
3433 |
+
{
|
3434 |
+
"epoch": 4.53,
|
3435 |
+
"grad_norm": 0.1361633539199829,
|
3436 |
+
"learning_rate": 5.222337125129266e-06,
|
3437 |
+
"loss": 0.0013,
|
3438 |
+
"step": 4830
|
3439 |
+
},
|
3440 |
+
{
|
3441 |
+
"epoch": 4.54,
|
3442 |
+
"grad_norm": 0.06002867594361305,
|
3443 |
+
"learning_rate": 5.118924508790072e-06,
|
3444 |
+
"loss": 0.0014,
|
3445 |
+
"step": 4840
|
3446 |
+
},
|
3447 |
+
{
|
3448 |
+
"epoch": 4.55,
|
3449 |
+
"grad_norm": 0.02299017459154129,
|
3450 |
+
"learning_rate": 5.015511892450879e-06,
|
3451 |
+
"loss": 0.0895,
|
3452 |
+
"step": 4850
|
3453 |
+
},
|
3454 |
+
{
|
3455 |
+
"epoch": 4.55,
|
3456 |
+
"grad_norm": 0.01912473328411579,
|
3457 |
+
"learning_rate": 4.912099276111686e-06,
|
3458 |
+
"loss": 0.0163,
|
3459 |
+
"step": 4860
|
3460 |
+
},
|
3461 |
+
{
|
3462 |
+
"epoch": 4.56,
|
3463 |
+
"grad_norm": 0.020831523463129997,
|
3464 |
+
"learning_rate": 4.8086866597724926e-06,
|
3465 |
+
"loss": 0.001,
|
3466 |
+
"step": 4870
|
3467 |
+
},
|
3468 |
+
{
|
3469 |
+
"epoch": 4.57,
|
3470 |
+
"grad_norm": 0.017449194565415382,
|
3471 |
+
"learning_rate": 4.705274043433299e-06,
|
3472 |
+
"loss": 0.0637,
|
3473 |
+
"step": 4880
|
3474 |
+
},
|
3475 |
+
{
|
3476 |
+
"epoch": 4.58,
|
3477 |
+
"grad_norm": 0.14713767170906067,
|
3478 |
+
"learning_rate": 4.601861427094105e-06,
|
3479 |
+
"loss": 0.0035,
|
3480 |
+
"step": 4890
|
3481 |
+
},
|
3482 |
+
{
|
3483 |
+
"epoch": 4.59,
|
3484 |
+
"grad_norm": 3.178408145904541,
|
3485 |
+
"learning_rate": 4.498448810754912e-06,
|
3486 |
+
"loss": 0.091,
|
3487 |
+
"step": 4900
|
3488 |
+
},
|
3489 |
+
{
|
3490 |
+
"epoch": 4.6,
|
3491 |
+
"grad_norm": 0.0492083765566349,
|
3492 |
+
"learning_rate": 4.39503619441572e-06,
|
3493 |
+
"loss": 0.24,
|
3494 |
+
"step": 4910
|
3495 |
+
},
|
3496 |
+
{
|
3497 |
+
"epoch": 4.61,
|
3498 |
+
"grad_norm": 0.01996445097029209,
|
3499 |
+
"learning_rate": 4.2916235780765255e-06,
|
3500 |
+
"loss": 0.1126,
|
3501 |
+
"step": 4920
|
3502 |
+
},
|
3503 |
+
{
|
3504 |
+
"epoch": 4.62,
|
3505 |
+
"grad_norm": 0.021161267533898354,
|
3506 |
+
"learning_rate": 4.188210961737332e-06,
|
3507 |
+
"loss": 0.0011,
|
3508 |
+
"step": 4930
|
3509 |
+
},
|
3510 |
+
{
|
3511 |
+
"epoch": 4.63,
|
3512 |
+
"grad_norm": 0.019828295335173607,
|
3513 |
+
"learning_rate": 4.084798345398139e-06,
|
3514 |
+
"loss": 0.0025,
|
3515 |
+
"step": 4940
|
3516 |
+
},
|
3517 |
+
{
|
3518 |
+
"epoch": 4.64,
|
3519 |
+
"grad_norm": 0.021803775802254677,
|
3520 |
+
"learning_rate": 3.981385729058945e-06,
|
3521 |
+
"loss": 0.1434,
|
3522 |
+
"step": 4950
|
3523 |
+
},
|
3524 |
+
{
|
3525 |
+
"epoch": 4.65,
|
3526 |
+
"grad_norm": 0.13735263049602509,
|
3527 |
+
"learning_rate": 3.8779731127197525e-06,
|
3528 |
+
"loss": 0.1412,
|
3529 |
+
"step": 4960
|
3530 |
+
},
|
3531 |
+
{
|
3532 |
+
"epoch": 4.66,
|
3533 |
+
"grad_norm": 0.24444641172885895,
|
3534 |
+
"learning_rate": 3.774560496380559e-06,
|
3535 |
+
"loss": 0.0046,
|
3536 |
+
"step": 4970
|
3537 |
+
},
|
3538 |
+
{
|
3539 |
+
"epoch": 4.67,
|
3540 |
+
"grad_norm": 0.023776857182383537,
|
3541 |
+
"learning_rate": 3.671147880041365e-06,
|
3542 |
+
"loss": 0.1191,
|
3543 |
+
"step": 4980
|
3544 |
+
},
|
3545 |
+
{
|
3546 |
+
"epoch": 4.68,
|
3547 |
+
"grad_norm": 0.024539895355701447,
|
3548 |
+
"learning_rate": 3.5677352637021715e-06,
|
3549 |
+
"loss": 0.1884,
|
3550 |
+
"step": 4990
|
3551 |
+
},
|
3552 |
+
{
|
3553 |
+
"epoch": 4.69,
|
3554 |
+
"grad_norm": 0.01984153315424919,
|
3555 |
+
"learning_rate": 3.4643226473629783e-06,
|
3556 |
+
"loss": 0.1128,
|
3557 |
+
"step": 5000
|
3558 |
+
},
|
3559 |
+
{
|
3560 |
+
"epoch": 4.7,
|
3561 |
+
"grad_norm": 2.897346258163452,
|
3562 |
+
"learning_rate": 3.3609100310237855e-06,
|
3563 |
+
"loss": 0.0782,
|
3564 |
+
"step": 5010
|
3565 |
+
},
|
3566 |
+
{
|
3567 |
+
"epoch": 4.7,
|
3568 |
+
"grad_norm": 0.04367586970329285,
|
3569 |
+
"learning_rate": 3.257497414684592e-06,
|
3570 |
+
"loss": 0.1729,
|
3571 |
+
"step": 5020
|
3572 |
+
},
|
3573 |
+
{
|
3574 |
+
"epoch": 4.71,
|
3575 |
+
"grad_norm": 0.022409643977880478,
|
3576 |
+
"learning_rate": 3.154084798345398e-06,
|
3577 |
+
"loss": 0.0013,
|
3578 |
+
"step": 5030
|
3579 |
+
},
|
3580 |
+
{
|
3581 |
+
"epoch": 4.72,
|
3582 |
+
"grad_norm": 0.02230711840093136,
|
3583 |
+
"learning_rate": 3.050672182006205e-06,
|
3584 |
+
"loss": 0.0605,
|
3585 |
+
"step": 5040
|
3586 |
+
},
|
3587 |
+
{
|
3588 |
+
"epoch": 4.73,
|
3589 |
+
"grad_norm": 0.08053728193044662,
|
3590 |
+
"learning_rate": 2.9472595656670117e-06,
|
3591 |
+
"loss": 0.0581,
|
3592 |
+
"step": 5050
|
3593 |
+
},
|
3594 |
+
{
|
3595 |
+
"epoch": 4.74,
|
3596 |
+
"grad_norm": 0.382304847240448,
|
3597 |
+
"learning_rate": 2.843846949327818e-06,
|
3598 |
+
"loss": 0.0396,
|
3599 |
+
"step": 5060
|
3600 |
+
},
|
3601 |
+
{
|
3602 |
+
"epoch": 4.75,
|
3603 |
+
"grad_norm": 0.0988391637802124,
|
3604 |
+
"learning_rate": 2.7404343329886247e-06,
|
3605 |
+
"loss": 0.0291,
|
3606 |
+
"step": 5070
|
3607 |
+
},
|
3608 |
+
{
|
3609 |
+
"epoch": 4.76,
|
3610 |
+
"grad_norm": 0.025470012798905373,
|
3611 |
+
"learning_rate": 2.6370217166494315e-06,
|
3612 |
+
"loss": 0.0012,
|
3613 |
+
"step": 5080
|
3614 |
+
},
|
3615 |
+
{
|
3616 |
+
"epoch": 4.77,
|
3617 |
+
"grad_norm": 0.01994398981332779,
|
3618 |
+
"learning_rate": 2.533609100310238e-06,
|
3619 |
+
"loss": 0.0021,
|
3620 |
+
"step": 5090
|
3621 |
+
},
|
3622 |
+
{
|
3623 |
+
"epoch": 4.78,
|
3624 |
+
"grad_norm": 0.062303327023983,
|
3625 |
+
"learning_rate": 2.4301964839710446e-06,
|
3626 |
+
"loss": 0.1794,
|
3627 |
+
"step": 5100
|
3628 |
+
},
|
3629 |
+
{
|
3630 |
+
"epoch": 4.79,
|
3631 |
+
"grad_norm": 0.02839079312980175,
|
3632 |
+
"learning_rate": 2.3267838676318514e-06,
|
3633 |
+
"loss": 0.0827,
|
3634 |
+
"step": 5110
|
3635 |
+
},
|
3636 |
+
{
|
3637 |
+
"epoch": 4.8,
|
3638 |
+
"grad_norm": 0.02093564346432686,
|
3639 |
+
"learning_rate": 2.2233712512926577e-06,
|
3640 |
+
"loss": 0.1439,
|
3641 |
+
"step": 5120
|
3642 |
+
},
|
3643 |
+
{
|
3644 |
+
"epoch": 4.81,
|
3645 |
+
"grad_norm": 0.024724125862121582,
|
3646 |
+
"learning_rate": 2.1199586349534644e-06,
|
3647 |
+
"loss": 0.2626,
|
3648 |
+
"step": 5130
|
3649 |
+
},
|
3650 |
+
{
|
3651 |
+
"epoch": 4.82,
|
3652 |
+
"grad_norm": 0.025263186544179916,
|
3653 |
+
"learning_rate": 2.0165460186142708e-06,
|
3654 |
+
"loss": 0.0011,
|
3655 |
+
"step": 5140
|
3656 |
+
},
|
3657 |
+
{
|
3658 |
+
"epoch": 4.83,
|
3659 |
+
"grad_norm": 0.026100702583789825,
|
3660 |
+
"learning_rate": 1.913133402275078e-06,
|
3661 |
+
"loss": 0.0012,
|
3662 |
+
"step": 5150
|
3663 |
+
},
|
3664 |
+
{
|
3665 |
+
"epoch": 4.84,
|
3666 |
+
"grad_norm": 0.42885711789131165,
|
3667 |
+
"learning_rate": 1.8097207859358843e-06,
|
3668 |
+
"loss": 0.0014,
|
3669 |
+
"step": 5160
|
3670 |
+
},
|
3671 |
+
{
|
3672 |
+
"epoch": 4.85,
|
3673 |
+
"grad_norm": 0.09349822252988815,
|
3674 |
+
"learning_rate": 1.7063081695966906e-06,
|
3675 |
+
"loss": 0.0014,
|
3676 |
+
"step": 5170
|
3677 |
+
},
|
3678 |
+
{
|
3679 |
+
"epoch": 4.85,
|
3680 |
+
"grad_norm": 0.020912567153573036,
|
3681 |
+
"learning_rate": 1.6028955532574976e-06,
|
3682 |
+
"loss": 0.2671,
|
3683 |
+
"step": 5180
|
3684 |
+
},
|
3685 |
+
{
|
3686 |
+
"epoch": 4.86,
|
3687 |
+
"grad_norm": 0.0201337318867445,
|
3688 |
+
"learning_rate": 1.499482936918304e-06,
|
3689 |
+
"loss": 0.0653,
|
3690 |
+
"step": 5190
|
3691 |
+
},
|
3692 |
+
{
|
3693 |
+
"epoch": 4.87,
|
3694 |
+
"grad_norm": 0.12457222491502762,
|
3695 |
+
"learning_rate": 1.3960703205791107e-06,
|
3696 |
+
"loss": 0.0855,
|
3697 |
+
"step": 5200
|
3698 |
+
},
|
3699 |
+
{
|
3700 |
+
"epoch": 4.88,
|
3701 |
+
"grad_norm": 0.06253860145807266,
|
3702 |
+
"learning_rate": 1.2926577042399172e-06,
|
3703 |
+
"loss": 0.0576,
|
3704 |
+
"step": 5210
|
3705 |
+
},
|
3706 |
+
{
|
3707 |
+
"epoch": 4.89,
|
3708 |
+
"grad_norm": 0.033292561769485474,
|
3709 |
+
"learning_rate": 1.189245087900724e-06,
|
3710 |
+
"loss": 0.1763,
|
3711 |
+
"step": 5220
|
3712 |
+
},
|
3713 |
+
{
|
3714 |
+
"epoch": 4.9,
|
3715 |
+
"grad_norm": 5.004137992858887,
|
3716 |
+
"learning_rate": 1.0858324715615305e-06,
|
3717 |
+
"loss": 0.0863,
|
3718 |
+
"step": 5230
|
3719 |
+
},
|
3720 |
+
{
|
3721 |
+
"epoch": 4.91,
|
3722 |
+
"grad_norm": 10.605862617492676,
|
3723 |
+
"learning_rate": 9.82419855222337e-07,
|
3724 |
+
"loss": 0.1183,
|
3725 |
+
"step": 5240
|
3726 |
+
},
|
3727 |
+
{
|
3728 |
+
"epoch": 4.92,
|
3729 |
+
"grad_norm": 0.02466098591685295,
|
3730 |
+
"learning_rate": 8.790072388831437e-07,
|
3731 |
+
"loss": 0.0013,
|
3732 |
+
"step": 5250
|
3733 |
+
},
|
3734 |
+
{
|
3735 |
+
"epoch": 4.93,
|
3736 |
+
"grad_norm": 47.83183288574219,
|
3737 |
+
"learning_rate": 7.755946225439504e-07,
|
3738 |
+
"loss": 0.1172,
|
3739 |
+
"step": 5260
|
3740 |
+
},
|
3741 |
+
{
|
3742 |
+
"epoch": 4.94,
|
3743 |
+
"grad_norm": 0.05490906536579132,
|
3744 |
+
"learning_rate": 6.72182006204757e-07,
|
3745 |
+
"loss": 0.0862,
|
3746 |
+
"step": 5270
|
3747 |
+
},
|
3748 |
+
{
|
3749 |
+
"epoch": 4.95,
|
3750 |
+
"grad_norm": 0.09379950165748596,
|
3751 |
+
"learning_rate": 5.687693898655636e-07,
|
3752 |
+
"loss": 0.0013,
|
3753 |
+
"step": 5280
|
3754 |
+
},
|
3755 |
+
{
|
3756 |
+
"epoch": 4.96,
|
3757 |
+
"grad_norm": 0.023985665291547775,
|
3758 |
+
"learning_rate": 4.6535677352637023e-07,
|
3759 |
+
"loss": 0.0016,
|
3760 |
+
"step": 5290
|
3761 |
+
},
|
3762 |
+
{
|
3763 |
+
"epoch": 4.97,
|
3764 |
+
"grad_norm": 0.18879929184913635,
|
3765 |
+
"learning_rate": 3.619441571871769e-07,
|
3766 |
+
"loss": 0.0607,
|
3767 |
+
"step": 5300
|
3768 |
+
},
|
3769 |
+
{
|
3770 |
+
"epoch": 4.98,
|
3771 |
+
"grad_norm": 0.043404027819633484,
|
3772 |
+
"learning_rate": 2.585315408479835e-07,
|
3773 |
+
"loss": 0.0933,
|
3774 |
+
"step": 5310
|
3775 |
+
},
|
3776 |
+
{
|
3777 |
+
"epoch": 4.99,
|
3778 |
+
"grad_norm": 10.754716873168945,
|
3779 |
+
"learning_rate": 1.5511892450879008e-07,
|
3780 |
+
"loss": 0.0017,
|
3781 |
+
"step": 5320
|
3782 |
+
},
|
3783 |
+
{
|
3784 |
+
"epoch": 5.0,
|
3785 |
+
"grad_norm": 0.027110379189252853,
|
3786 |
+
"learning_rate": 5.1706308169596694e-08,
|
3787 |
+
"loss": 0.0889,
|
3788 |
+
"step": 5330
|
3789 |
+
},
|
3790 |
+
{
|
3791 |
+
"epoch": 5.0,
|
3792 |
+
"eval_accuracy": 0.8761726078799249,
|
3793 |
+
"eval_f1": 0.8735632183908046,
|
3794 |
+
"eval_loss": 0.7370651364326477,
|
3795 |
+
"eval_precision": 0.890625,
|
3796 |
+
"eval_recall": 0.8571428571428571,
|
3797 |
+
"eval_runtime": 1.5139,
|
3798 |
+
"eval_samples_per_second": 352.061,
|
3799 |
+
"eval_steps_per_second": 44.255,
|
3800 |
+
"step": 5335
|
3801 |
+
}
|
3802 |
+
],
|
3803 |
+
"logging_steps": 10,
|
3804 |
+
"max_steps": 5335,
|
3805 |
+
"num_input_tokens_seen": 0,
|
3806 |
+
"num_train_epochs": 5,
|
3807 |
+
"save_steps": 500,
|
3808 |
+
"total_flos": 1753388517360000.0,
|
3809 |
+
"train_batch_size": 8,
|
3810 |
+
"trial_name": null,
|
3811 |
+
"trial_params": null
|
3812 |
+
}
|
tmp-checkpoint-5335/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:845e2d48921e73f25ae02136aa40e96ecac5011c603a274ba4507a46d1806916
|
3 |
+
size 4984
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:845e2d48921e73f25ae02136aa40e96ecac5011c603a274ba4507a46d1806916
|
3 |
+
size 4984
|