Upload 10 files
Browse files- config.json +41 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +7 -0
- tokenizer_config.json +17 -0
- trainer_state.json +1006 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
ADDED
@@ -0,0 +1,41 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "/home/vera/Desktop/yelp-review/yelp-review-TAPT/checkpoint-857907",
|
3 |
+
"architectures": [
|
4 |
+
"BertForSequenceClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"classifier_dropout": null,
|
8 |
+
"gradient_checkpointing": false,
|
9 |
+
"hidden_act": "gelu",
|
10 |
+
"hidden_dropout_prob": 0.1,
|
11 |
+
"hidden_size": 768,
|
12 |
+
"id2label": {
|
13 |
+
"0": "LABEL_0",
|
14 |
+
"1": "LABEL_1",
|
15 |
+
"2": "LABEL_2",
|
16 |
+
"3": "LABEL_3",
|
17 |
+
"4": "LABEL_4"
|
18 |
+
},
|
19 |
+
"initializer_range": 0.02,
|
20 |
+
"intermediate_size": 3072,
|
21 |
+
"label2id": {
|
22 |
+
"LABEL_0": 0,
|
23 |
+
"LABEL_1": 1,
|
24 |
+
"LABEL_2": 2,
|
25 |
+
"LABEL_3": 3,
|
26 |
+
"LABEL_4": 4
|
27 |
+
},
|
28 |
+
"layer_norm_eps": 1e-12,
|
29 |
+
"max_position_embeddings": 512,
|
30 |
+
"model_type": "bert",
|
31 |
+
"num_attention_heads": 12,
|
32 |
+
"num_hidden_layers": 12,
|
33 |
+
"pad_token_id": 0,
|
34 |
+
"position_embedding_type": "absolute",
|
35 |
+
"problem_type": "single_label_classification",
|
36 |
+
"torch_dtype": "float32",
|
37 |
+
"transformers_version": "4.22.0.dev0",
|
38 |
+
"type_vocab_size": 2,
|
39 |
+
"use_cache": true,
|
40 |
+
"vocab_size": 30522
|
41 |
+
}
|
optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:743b5d3e9bea36440bdea783ffac203d8845f925e10e56c24ad4f63de2ca9872
|
3 |
+
size 876005597
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a3ea250132c61843624645a372206f9e7f8313b946e205dba9180a2696aa03cd
|
3 |
+
size 438015341
|
rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2780c69471eb1e88b5b1c38acfeef49bc3963662859ad1704528b46d95cbc73a
|
3 |
+
size 15523
|
scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a6eba430d6a54d74e9ca84b71fc82c83bc18194405bb3db5b8642d1654ac91d7
|
3 |
+
size 623
|
special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"mask_token": "[MASK]",
|
4 |
+
"pad_token": "[PAD]",
|
5 |
+
"sep_token": "[SEP]",
|
6 |
+
"unk_token": "[UNK]"
|
7 |
+
}
|
tokenizer_config.json
ADDED
@@ -0,0 +1,17 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"cls_token": "[CLS]",
|
3 |
+
"do_basic_tokenize": true,
|
4 |
+
"do_lower_case": true,
|
5 |
+
"mask_token": "[MASK]",
|
6 |
+
"model_max_length": 512,
|
7 |
+
"name_or_path": "/home/vera/Desktop/yelp-review/yelp-review-TAPT/checkpoint-857907",
|
8 |
+
"never_split": null,
|
9 |
+
"pad_token": "[PAD]",
|
10 |
+
"sep_token": "[SEP]",
|
11 |
+
"special_tokens_map_file": null,
|
12 |
+
"strip_accents": null,
|
13 |
+
"tokenize_chinese_chars": true,
|
14 |
+
"tokenizer_class": "BertTokenizer",
|
15 |
+
"unk_token": "[UNK]",
|
16 |
+
"use_fast": true
|
17 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1006 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 2.0,
|
5 |
+
"global_step": 81250,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 5.000000000000001e-07,
|
13 |
+
"loss": 1.6109,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 1.0000000000000002e-06,
|
19 |
+
"loss": 1.5501,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.04,
|
24 |
+
"learning_rate": 1.5e-06,
|
25 |
+
"loss": 1.1228,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.05,
|
30 |
+
"learning_rate": 2.0000000000000003e-06,
|
31 |
+
"loss": 0.8543,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.06,
|
36 |
+
"learning_rate": 2.5e-06,
|
37 |
+
"loss": 0.8183,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.07,
|
42 |
+
"learning_rate": 3e-06,
|
43 |
+
"loss": 0.7931,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.09,
|
48 |
+
"learning_rate": 3.5e-06,
|
49 |
+
"loss": 0.7792,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.1,
|
54 |
+
"learning_rate": 4.000000000000001e-06,
|
55 |
+
"loss": 0.7713,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.11,
|
60 |
+
"learning_rate": 4.5e-06,
|
61 |
+
"loss": 0.7678,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.12,
|
66 |
+
"learning_rate": 5e-06,
|
67 |
+
"loss": 0.7736,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.14,
|
72 |
+
"learning_rate": 5.500000000000001e-06,
|
73 |
+
"loss": 0.7527,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.15,
|
78 |
+
"learning_rate": 6e-06,
|
79 |
+
"loss": 0.7499,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.16,
|
84 |
+
"learning_rate": 6.5000000000000004e-06,
|
85 |
+
"loss": 0.7438,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17,
|
90 |
+
"learning_rate": 7e-06,
|
91 |
+
"loss": 0.7462,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.18,
|
96 |
+
"learning_rate": 7.500000000000001e-06,
|
97 |
+
"loss": 0.7524,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.2,
|
102 |
+
"learning_rate": 8.000000000000001e-06,
|
103 |
+
"loss": 0.7427,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.21,
|
108 |
+
"learning_rate": 8.5e-06,
|
109 |
+
"loss": 0.7342,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.22,
|
114 |
+
"learning_rate": 9e-06,
|
115 |
+
"loss": 0.7347,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.23,
|
120 |
+
"learning_rate": 9.5e-06,
|
121 |
+
"loss": 0.749,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.25,
|
126 |
+
"learning_rate": 1e-05,
|
127 |
+
"loss": 0.7288,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.26,
|
132 |
+
"learning_rate": 9.993769470404985e-06,
|
133 |
+
"loss": 0.7326,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.27,
|
138 |
+
"learning_rate": 9.98753894080997e-06,
|
139 |
+
"loss": 0.7256,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.28,
|
144 |
+
"learning_rate": 9.981308411214954e-06,
|
145 |
+
"loss": 0.7386,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.3,
|
150 |
+
"learning_rate": 9.97507788161994e-06,
|
151 |
+
"loss": 0.7285,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.31,
|
156 |
+
"learning_rate": 9.968847352024923e-06,
|
157 |
+
"loss": 0.7223,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.32,
|
162 |
+
"learning_rate": 9.962616822429907e-06,
|
163 |
+
"loss": 0.7327,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.33,
|
168 |
+
"learning_rate": 9.956386292834892e-06,
|
169 |
+
"loss": 0.7189,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.34,
|
174 |
+
"learning_rate": 9.950155763239876e-06,
|
175 |
+
"loss": 0.7316,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.36,
|
180 |
+
"learning_rate": 9.943925233644862e-06,
|
181 |
+
"loss": 0.7129,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.37,
|
186 |
+
"learning_rate": 9.937694704049845e-06,
|
187 |
+
"loss": 0.7096,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.38,
|
192 |
+
"learning_rate": 9.931464174454829e-06,
|
193 |
+
"loss": 0.7134,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.39,
|
198 |
+
"learning_rate": 9.925233644859815e-06,
|
199 |
+
"loss": 0.7201,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.41,
|
204 |
+
"learning_rate": 9.919003115264798e-06,
|
205 |
+
"loss": 0.7185,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.42,
|
210 |
+
"learning_rate": 9.912772585669784e-06,
|
211 |
+
"loss": 0.7215,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.43,
|
216 |
+
"learning_rate": 9.906542056074768e-06,
|
217 |
+
"loss": 0.7142,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.44,
|
222 |
+
"learning_rate": 9.900311526479751e-06,
|
223 |
+
"loss": 0.7261,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.46,
|
228 |
+
"learning_rate": 9.894080996884737e-06,
|
229 |
+
"loss": 0.7091,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.47,
|
234 |
+
"learning_rate": 9.88785046728972e-06,
|
235 |
+
"loss": 0.7138,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.48,
|
240 |
+
"learning_rate": 9.881619937694706e-06,
|
241 |
+
"loss": 0.7134,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.49,
|
246 |
+
"learning_rate": 9.87538940809969e-06,
|
247 |
+
"loss": 0.7157,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.5,
|
252 |
+
"learning_rate": 9.869158878504674e-06,
|
253 |
+
"loss": 0.7136,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.52,
|
258 |
+
"learning_rate": 9.862928348909659e-06,
|
259 |
+
"loss": 0.7133,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.53,
|
264 |
+
"learning_rate": 9.856697819314643e-06,
|
265 |
+
"loss": 0.7048,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.54,
|
270 |
+
"learning_rate": 9.850467289719627e-06,
|
271 |
+
"loss": 0.7004,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.55,
|
276 |
+
"learning_rate": 9.844236760124612e-06,
|
277 |
+
"loss": 0.69,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.57,
|
282 |
+
"learning_rate": 9.838006230529596e-06,
|
283 |
+
"loss": 0.7158,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.58,
|
288 |
+
"learning_rate": 9.83177570093458e-06,
|
289 |
+
"loss": 0.6995,
|
290 |
+
"step": 23500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.59,
|
294 |
+
"learning_rate": 9.825545171339565e-06,
|
295 |
+
"loss": 0.6893,
|
296 |
+
"step": 24000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.6,
|
300 |
+
"learning_rate": 9.819314641744549e-06,
|
301 |
+
"loss": 0.6978,
|
302 |
+
"step": 24500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.62,
|
306 |
+
"learning_rate": 9.813084112149533e-06,
|
307 |
+
"loss": 0.7025,
|
308 |
+
"step": 25000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.63,
|
312 |
+
"learning_rate": 9.806853582554518e-06,
|
313 |
+
"loss": 0.6952,
|
314 |
+
"step": 25500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.64,
|
318 |
+
"learning_rate": 9.800623052959502e-06,
|
319 |
+
"loss": 0.7102,
|
320 |
+
"step": 26000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.65,
|
324 |
+
"learning_rate": 9.794392523364486e-06,
|
325 |
+
"loss": 0.7042,
|
326 |
+
"step": 26500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.66,
|
330 |
+
"learning_rate": 9.788161993769471e-06,
|
331 |
+
"loss": 0.6953,
|
332 |
+
"step": 27000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.68,
|
336 |
+
"learning_rate": 9.781931464174455e-06,
|
337 |
+
"loss": 0.7247,
|
338 |
+
"step": 27500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.69,
|
342 |
+
"learning_rate": 9.775700934579439e-06,
|
343 |
+
"loss": 0.7081,
|
344 |
+
"step": 28000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.7,
|
348 |
+
"learning_rate": 9.769470404984424e-06,
|
349 |
+
"loss": 0.711,
|
350 |
+
"step": 28500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.71,
|
354 |
+
"learning_rate": 9.763239875389408e-06,
|
355 |
+
"loss": 0.6943,
|
356 |
+
"step": 29000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.73,
|
360 |
+
"learning_rate": 9.757009345794393e-06,
|
361 |
+
"loss": 0.6845,
|
362 |
+
"step": 29500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.74,
|
366 |
+
"learning_rate": 9.750778816199377e-06,
|
367 |
+
"loss": 0.7012,
|
368 |
+
"step": 30000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.75,
|
372 |
+
"learning_rate": 9.744548286604361e-06,
|
373 |
+
"loss": 0.7031,
|
374 |
+
"step": 30500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.76,
|
378 |
+
"learning_rate": 9.738317757009347e-06,
|
379 |
+
"loss": 0.6994,
|
380 |
+
"step": 31000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.78,
|
384 |
+
"learning_rate": 9.73208722741433e-06,
|
385 |
+
"loss": 0.7058,
|
386 |
+
"step": 31500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.79,
|
390 |
+
"learning_rate": 9.725856697819316e-06,
|
391 |
+
"loss": 0.69,
|
392 |
+
"step": 32000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.8,
|
396 |
+
"learning_rate": 9.7196261682243e-06,
|
397 |
+
"loss": 0.6888,
|
398 |
+
"step": 32500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.81,
|
402 |
+
"learning_rate": 9.713395638629283e-06,
|
403 |
+
"loss": 0.7044,
|
404 |
+
"step": 33000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.82,
|
408 |
+
"learning_rate": 9.707165109034269e-06,
|
409 |
+
"loss": 0.6841,
|
410 |
+
"step": 33500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.84,
|
414 |
+
"learning_rate": 9.700934579439253e-06,
|
415 |
+
"loss": 0.6886,
|
416 |
+
"step": 34000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.85,
|
420 |
+
"learning_rate": 9.694704049844238e-06,
|
421 |
+
"loss": 0.6884,
|
422 |
+
"step": 34500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.86,
|
426 |
+
"learning_rate": 9.688473520249222e-06,
|
427 |
+
"loss": 0.699,
|
428 |
+
"step": 35000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.87,
|
432 |
+
"learning_rate": 9.682242990654206e-06,
|
433 |
+
"loss": 0.7042,
|
434 |
+
"step": 35500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.89,
|
438 |
+
"learning_rate": 9.676012461059191e-06,
|
439 |
+
"loss": 0.6993,
|
440 |
+
"step": 36000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.9,
|
444 |
+
"learning_rate": 9.669781931464175e-06,
|
445 |
+
"loss": 0.6983,
|
446 |
+
"step": 36500
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.91,
|
450 |
+
"learning_rate": 9.66355140186916e-06,
|
451 |
+
"loss": 0.697,
|
452 |
+
"step": 37000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.92,
|
456 |
+
"learning_rate": 9.657320872274144e-06,
|
457 |
+
"loss": 0.704,
|
458 |
+
"step": 37500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.94,
|
462 |
+
"learning_rate": 9.651090342679128e-06,
|
463 |
+
"loss": 0.6917,
|
464 |
+
"step": 38000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.95,
|
468 |
+
"learning_rate": 9.644859813084113e-06,
|
469 |
+
"loss": 0.6904,
|
470 |
+
"step": 38500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.96,
|
474 |
+
"learning_rate": 9.638629283489097e-06,
|
475 |
+
"loss": 0.6946,
|
476 |
+
"step": 39000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.97,
|
480 |
+
"learning_rate": 9.632398753894083e-06,
|
481 |
+
"loss": 0.6905,
|
482 |
+
"step": 39500
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.98,
|
486 |
+
"learning_rate": 9.626168224299066e-06,
|
487 |
+
"loss": 0.7,
|
488 |
+
"step": 40000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 1.0,
|
492 |
+
"learning_rate": 9.61993769470405e-06,
|
493 |
+
"loss": 0.7068,
|
494 |
+
"step": 40500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 1.0,
|
498 |
+
"eval_accuracy": 0.69898,
|
499 |
+
"eval_loss": 0.6849758625030518,
|
500 |
+
"eval_runtime": 138.1081,
|
501 |
+
"eval_samples_per_second": 362.035,
|
502 |
+
"eval_steps_per_second": 22.627,
|
503 |
+
"step": 40625
|
504 |
+
},
|
505 |
+
{
|
506 |
+
"epoch": 1.01,
|
507 |
+
"learning_rate": 9.613707165109036e-06,
|
508 |
+
"loss": 0.6541,
|
509 |
+
"step": 41000
|
510 |
+
},
|
511 |
+
{
|
512 |
+
"epoch": 1.02,
|
513 |
+
"learning_rate": 9.60747663551402e-06,
|
514 |
+
"loss": 0.6604,
|
515 |
+
"step": 41500
|
516 |
+
},
|
517 |
+
{
|
518 |
+
"epoch": 1.03,
|
519 |
+
"learning_rate": 9.601246105919005e-06,
|
520 |
+
"loss": 0.6514,
|
521 |
+
"step": 42000
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 1.05,
|
525 |
+
"learning_rate": 9.595015576323989e-06,
|
526 |
+
"loss": 0.6295,
|
527 |
+
"step": 42500
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 1.06,
|
531 |
+
"learning_rate": 9.588785046728972e-06,
|
532 |
+
"loss": 0.6594,
|
533 |
+
"step": 43000
|
534 |
+
},
|
535 |
+
{
|
536 |
+
"epoch": 1.07,
|
537 |
+
"learning_rate": 9.582554517133958e-06,
|
538 |
+
"loss": 0.6389,
|
539 |
+
"step": 43500
|
540 |
+
},
|
541 |
+
{
|
542 |
+
"epoch": 1.08,
|
543 |
+
"learning_rate": 9.576323987538942e-06,
|
544 |
+
"loss": 0.6329,
|
545 |
+
"step": 44000
|
546 |
+
},
|
547 |
+
{
|
548 |
+
"epoch": 1.1,
|
549 |
+
"learning_rate": 9.570093457943927e-06,
|
550 |
+
"loss": 0.6528,
|
551 |
+
"step": 44500
|
552 |
+
},
|
553 |
+
{
|
554 |
+
"epoch": 1.11,
|
555 |
+
"learning_rate": 9.563862928348911e-06,
|
556 |
+
"loss": 0.6429,
|
557 |
+
"step": 45000
|
558 |
+
},
|
559 |
+
{
|
560 |
+
"epoch": 1.12,
|
561 |
+
"learning_rate": 9.557632398753895e-06,
|
562 |
+
"loss": 0.6358,
|
563 |
+
"step": 45500
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 1.13,
|
567 |
+
"learning_rate": 9.55140186915888e-06,
|
568 |
+
"loss": 0.6328,
|
569 |
+
"step": 46000
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 1.14,
|
573 |
+
"learning_rate": 9.545171339563864e-06,
|
574 |
+
"loss": 0.6362,
|
575 |
+
"step": 46500
|
576 |
+
},
|
577 |
+
{
|
578 |
+
"epoch": 1.16,
|
579 |
+
"learning_rate": 9.538940809968848e-06,
|
580 |
+
"loss": 0.6299,
|
581 |
+
"step": 47000
|
582 |
+
},
|
583 |
+
{
|
584 |
+
"epoch": 1.17,
|
585 |
+
"learning_rate": 9.532710280373833e-06,
|
586 |
+
"loss": 0.6458,
|
587 |
+
"step": 47500
|
588 |
+
},
|
589 |
+
{
|
590 |
+
"epoch": 1.18,
|
591 |
+
"learning_rate": 9.526479750778817e-06,
|
592 |
+
"loss": 0.6404,
|
593 |
+
"step": 48000
|
594 |
+
},
|
595 |
+
{
|
596 |
+
"epoch": 1.19,
|
597 |
+
"learning_rate": 9.520249221183802e-06,
|
598 |
+
"loss": 0.6451,
|
599 |
+
"step": 48500
|
600 |
+
},
|
601 |
+
{
|
602 |
+
"epoch": 1.21,
|
603 |
+
"learning_rate": 9.514018691588786e-06,
|
604 |
+
"loss": 0.6299,
|
605 |
+
"step": 49000
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 1.22,
|
609 |
+
"learning_rate": 9.50778816199377e-06,
|
610 |
+
"loss": 0.6411,
|
611 |
+
"step": 49500
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 1.23,
|
615 |
+
"learning_rate": 9.501557632398755e-06,
|
616 |
+
"loss": 0.6398,
|
617 |
+
"step": 50000
|
618 |
+
},
|
619 |
+
{
|
620 |
+
"epoch": 1.24,
|
621 |
+
"learning_rate": 9.49532710280374e-06,
|
622 |
+
"loss": 0.6471,
|
623 |
+
"step": 50500
|
624 |
+
},
|
625 |
+
{
|
626 |
+
"epoch": 1.26,
|
627 |
+
"learning_rate": 9.489096573208723e-06,
|
628 |
+
"loss": 0.6479,
|
629 |
+
"step": 51000
|
630 |
+
},
|
631 |
+
{
|
632 |
+
"epoch": 1.27,
|
633 |
+
"learning_rate": 9.482866043613708e-06,
|
634 |
+
"loss": 0.6239,
|
635 |
+
"step": 51500
|
636 |
+
},
|
637 |
+
{
|
638 |
+
"epoch": 1.28,
|
639 |
+
"learning_rate": 9.476635514018692e-06,
|
640 |
+
"loss": 0.6405,
|
641 |
+
"step": 52000
|
642 |
+
},
|
643 |
+
{
|
644 |
+
"epoch": 1.29,
|
645 |
+
"learning_rate": 9.470404984423676e-06,
|
646 |
+
"loss": 0.6458,
|
647 |
+
"step": 52500
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 1.3,
|
651 |
+
"learning_rate": 9.464174454828661e-06,
|
652 |
+
"loss": 0.6269,
|
653 |
+
"step": 53000
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 1.32,
|
657 |
+
"learning_rate": 9.457943925233645e-06,
|
658 |
+
"loss": 0.6438,
|
659 |
+
"step": 53500
|
660 |
+
},
|
661 |
+
{
|
662 |
+
"epoch": 1.33,
|
663 |
+
"learning_rate": 9.451713395638629e-06,
|
664 |
+
"loss": 0.65,
|
665 |
+
"step": 54000
|
666 |
+
},
|
667 |
+
{
|
668 |
+
"epoch": 1.34,
|
669 |
+
"learning_rate": 9.445482866043614e-06,
|
670 |
+
"loss": 0.6495,
|
671 |
+
"step": 54500
|
672 |
+
},
|
673 |
+
{
|
674 |
+
"epoch": 1.35,
|
675 |
+
"learning_rate": 9.439252336448598e-06,
|
676 |
+
"loss": 0.6355,
|
677 |
+
"step": 55000
|
678 |
+
},
|
679 |
+
{
|
680 |
+
"epoch": 1.37,
|
681 |
+
"learning_rate": 9.433021806853582e-06,
|
682 |
+
"loss": 0.6452,
|
683 |
+
"step": 55500
|
684 |
+
},
|
685 |
+
{
|
686 |
+
"epoch": 1.38,
|
687 |
+
"learning_rate": 9.426791277258568e-06,
|
688 |
+
"loss": 0.6419,
|
689 |
+
"step": 56000
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 1.39,
|
693 |
+
"learning_rate": 9.420560747663551e-06,
|
694 |
+
"loss": 0.6589,
|
695 |
+
"step": 56500
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 1.4,
|
699 |
+
"learning_rate": 9.414330218068537e-06,
|
700 |
+
"loss": 0.6426,
|
701 |
+
"step": 57000
|
702 |
+
},
|
703 |
+
{
|
704 |
+
"epoch": 1.42,
|
705 |
+
"learning_rate": 9.40809968847352e-06,
|
706 |
+
"loss": 0.6367,
|
707 |
+
"step": 57500
|
708 |
+
},
|
709 |
+
{
|
710 |
+
"epoch": 1.43,
|
711 |
+
"learning_rate": 9.401869158878504e-06,
|
712 |
+
"loss": 0.6388,
|
713 |
+
"step": 58000
|
714 |
+
},
|
715 |
+
{
|
716 |
+
"epoch": 1.44,
|
717 |
+
"learning_rate": 9.39563862928349e-06,
|
718 |
+
"loss": 0.6507,
|
719 |
+
"step": 58500
|
720 |
+
},
|
721 |
+
{
|
722 |
+
"epoch": 1.45,
|
723 |
+
"learning_rate": 9.389408099688474e-06,
|
724 |
+
"loss": 0.6377,
|
725 |
+
"step": 59000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 1.46,
|
729 |
+
"learning_rate": 9.383177570093459e-06,
|
730 |
+
"loss": 0.6612,
|
731 |
+
"step": 59500
|
732 |
+
},
|
733 |
+
{
|
734 |
+
"epoch": 1.48,
|
735 |
+
"learning_rate": 9.376947040498443e-06,
|
736 |
+
"loss": 0.659,
|
737 |
+
"step": 60000
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 1.49,
|
741 |
+
"learning_rate": 9.370716510903427e-06,
|
742 |
+
"loss": 0.6396,
|
743 |
+
"step": 60500
|
744 |
+
},
|
745 |
+
{
|
746 |
+
"epoch": 1.5,
|
747 |
+
"learning_rate": 9.364485981308412e-06,
|
748 |
+
"loss": 0.6541,
|
749 |
+
"step": 61000
|
750 |
+
},
|
751 |
+
{
|
752 |
+
"epoch": 1.51,
|
753 |
+
"learning_rate": 9.358255451713396e-06,
|
754 |
+
"loss": 0.6483,
|
755 |
+
"step": 61500
|
756 |
+
},
|
757 |
+
{
|
758 |
+
"epoch": 1.53,
|
759 |
+
"learning_rate": 9.352024922118381e-06,
|
760 |
+
"loss": 0.6366,
|
761 |
+
"step": 62000
|
762 |
+
},
|
763 |
+
{
|
764 |
+
"epoch": 1.54,
|
765 |
+
"learning_rate": 9.345794392523365e-06,
|
766 |
+
"loss": 0.6476,
|
767 |
+
"step": 62500
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 1.55,
|
771 |
+
"learning_rate": 9.339563862928349e-06,
|
772 |
+
"loss": 0.6553,
|
773 |
+
"step": 63000
|
774 |
+
},
|
775 |
+
{
|
776 |
+
"epoch": 1.56,
|
777 |
+
"learning_rate": 9.333333333333334e-06,
|
778 |
+
"loss": 0.6362,
|
779 |
+
"step": 63500
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 1.58,
|
783 |
+
"learning_rate": 9.327102803738318e-06,
|
784 |
+
"loss": 0.6442,
|
785 |
+
"step": 64000
|
786 |
+
},
|
787 |
+
{
|
788 |
+
"epoch": 1.59,
|
789 |
+
"learning_rate": 9.320872274143304e-06,
|
790 |
+
"loss": 0.6566,
|
791 |
+
"step": 64500
|
792 |
+
},
|
793 |
+
{
|
794 |
+
"epoch": 1.6,
|
795 |
+
"learning_rate": 9.314641744548287e-06,
|
796 |
+
"loss": 0.6497,
|
797 |
+
"step": 65000
|
798 |
+
},
|
799 |
+
{
|
800 |
+
"epoch": 1.61,
|
801 |
+
"learning_rate": 9.308411214953271e-06,
|
802 |
+
"loss": 0.6461,
|
803 |
+
"step": 65500
|
804 |
+
},
|
805 |
+
{
|
806 |
+
"epoch": 1.62,
|
807 |
+
"learning_rate": 9.302180685358257e-06,
|
808 |
+
"loss": 0.6609,
|
809 |
+
"step": 66000
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 1.64,
|
813 |
+
"learning_rate": 9.29595015576324e-06,
|
814 |
+
"loss": 0.6502,
|
815 |
+
"step": 66500
|
816 |
+
},
|
817 |
+
{
|
818 |
+
"epoch": 1.65,
|
819 |
+
"learning_rate": 9.289719626168226e-06,
|
820 |
+
"loss": 0.6531,
|
821 |
+
"step": 67000
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 1.66,
|
825 |
+
"learning_rate": 9.28348909657321e-06,
|
826 |
+
"loss": 0.6441,
|
827 |
+
"step": 67500
|
828 |
+
},
|
829 |
+
{
|
830 |
+
"epoch": 1.67,
|
831 |
+
"learning_rate": 9.277258566978193e-06,
|
832 |
+
"loss": 0.6487,
|
833 |
+
"step": 68000
|
834 |
+
},
|
835 |
+
{
|
836 |
+
"epoch": 1.69,
|
837 |
+
"learning_rate": 9.271028037383179e-06,
|
838 |
+
"loss": 0.6436,
|
839 |
+
"step": 68500
|
840 |
+
},
|
841 |
+
{
|
842 |
+
"epoch": 1.7,
|
843 |
+
"learning_rate": 9.264797507788163e-06,
|
844 |
+
"loss": 0.6575,
|
845 |
+
"step": 69000
|
846 |
+
},
|
847 |
+
{
|
848 |
+
"epoch": 1.71,
|
849 |
+
"learning_rate": 9.258566978193148e-06,
|
850 |
+
"loss": 0.6514,
|
851 |
+
"step": 69500
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 1.72,
|
855 |
+
"learning_rate": 9.252336448598132e-06,
|
856 |
+
"loss": 0.6424,
|
857 |
+
"step": 70000
|
858 |
+
},
|
859 |
+
{
|
860 |
+
"epoch": 1.74,
|
861 |
+
"learning_rate": 9.246105919003116e-06,
|
862 |
+
"loss": 0.646,
|
863 |
+
"step": 70500
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 1.75,
|
867 |
+
"learning_rate": 9.239875389408101e-06,
|
868 |
+
"loss": 0.6445,
|
869 |
+
"step": 71000
|
870 |
+
},
|
871 |
+
{
|
872 |
+
"epoch": 1.76,
|
873 |
+
"learning_rate": 9.233644859813085e-06,
|
874 |
+
"loss": 0.6507,
|
875 |
+
"step": 71500
|
876 |
+
},
|
877 |
+
{
|
878 |
+
"epoch": 1.77,
|
879 |
+
"learning_rate": 9.22741433021807e-06,
|
880 |
+
"loss": 0.6564,
|
881 |
+
"step": 72000
|
882 |
+
},
|
883 |
+
{
|
884 |
+
"epoch": 1.78,
|
885 |
+
"learning_rate": 9.221183800623054e-06,
|
886 |
+
"loss": 0.6422,
|
887 |
+
"step": 72500
|
888 |
+
},
|
889 |
+
{
|
890 |
+
"epoch": 1.8,
|
891 |
+
"learning_rate": 9.214953271028038e-06,
|
892 |
+
"loss": 0.6408,
|
893 |
+
"step": 73000
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 1.81,
|
897 |
+
"learning_rate": 9.208722741433023e-06,
|
898 |
+
"loss": 0.6394,
|
899 |
+
"step": 73500
|
900 |
+
},
|
901 |
+
{
|
902 |
+
"epoch": 1.82,
|
903 |
+
"learning_rate": 9.202492211838007e-06,
|
904 |
+
"loss": 0.6421,
|
905 |
+
"step": 74000
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 1.83,
|
909 |
+
"learning_rate": 9.196261682242991e-06,
|
910 |
+
"loss": 0.6379,
|
911 |
+
"step": 74500
|
912 |
+
},
|
913 |
+
{
|
914 |
+
"epoch": 1.85,
|
915 |
+
"learning_rate": 9.190031152647976e-06,
|
916 |
+
"loss": 0.6421,
|
917 |
+
"step": 75000
|
918 |
+
},
|
919 |
+
{
|
920 |
+
"epoch": 1.86,
|
921 |
+
"learning_rate": 9.18380062305296e-06,
|
922 |
+
"loss": 0.6277,
|
923 |
+
"step": 75500
|
924 |
+
},
|
925 |
+
{
|
926 |
+
"epoch": 1.87,
|
927 |
+
"learning_rate": 9.177570093457944e-06,
|
928 |
+
"loss": 0.6475,
|
929 |
+
"step": 76000
|
930 |
+
},
|
931 |
+
{
|
932 |
+
"epoch": 1.88,
|
933 |
+
"learning_rate": 9.17133956386293e-06,
|
934 |
+
"loss": 0.65,
|
935 |
+
"step": 76500
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 1.9,
|
939 |
+
"learning_rate": 9.165109034267913e-06,
|
940 |
+
"loss": 0.6546,
|
941 |
+
"step": 77000
|
942 |
+
},
|
943 |
+
{
|
944 |
+
"epoch": 1.91,
|
945 |
+
"learning_rate": 9.158878504672899e-06,
|
946 |
+
"loss": 0.6476,
|
947 |
+
"step": 77500
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 1.92,
|
951 |
+
"learning_rate": 9.152647975077882e-06,
|
952 |
+
"loss": 0.6362,
|
953 |
+
"step": 78000
|
954 |
+
},
|
955 |
+
{
|
956 |
+
"epoch": 1.93,
|
957 |
+
"learning_rate": 9.146417445482866e-06,
|
958 |
+
"loss": 0.6368,
|
959 |
+
"step": 78500
|
960 |
+
},
|
961 |
+
{
|
962 |
+
"epoch": 1.94,
|
963 |
+
"learning_rate": 9.140186915887852e-06,
|
964 |
+
"loss": 0.6338,
|
965 |
+
"step": 79000
|
966 |
+
},
|
967 |
+
{
|
968 |
+
"epoch": 1.96,
|
969 |
+
"learning_rate": 9.133956386292835e-06,
|
970 |
+
"loss": 0.6456,
|
971 |
+
"step": 79500
|
972 |
+
},
|
973 |
+
{
|
974 |
+
"epoch": 1.97,
|
975 |
+
"learning_rate": 9.12772585669782e-06,
|
976 |
+
"loss": 0.6563,
|
977 |
+
"step": 80000
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 1.98,
|
981 |
+
"learning_rate": 9.121495327102805e-06,
|
982 |
+
"loss": 0.6456,
|
983 |
+
"step": 80500
|
984 |
+
},
|
985 |
+
{
|
986 |
+
"epoch": 1.99,
|
987 |
+
"learning_rate": 9.115264797507789e-06,
|
988 |
+
"loss": 0.6518,
|
989 |
+
"step": 81000
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 2.0,
|
993 |
+
"eval_accuracy": 0.70374,
|
994 |
+
"eval_loss": 0.679389238357544,
|
995 |
+
"eval_runtime": 138.0175,
|
996 |
+
"eval_samples_per_second": 362.273,
|
997 |
+
"eval_steps_per_second": 22.642,
|
998 |
+
"step": 81250
|
999 |
+
}
|
1000 |
+
],
|
1001 |
+
"max_steps": 812500,
|
1002 |
+
"num_train_epochs": 20,
|
1003 |
+
"total_flos": 1.710267926016e+17,
|
1004 |
+
"trial_name": null,
|
1005 |
+
"trial_params": null
|
1006 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8f5af338fa3f0963d808b62d76e742880a90bd868542be0b7a7f53ffd8d3cd99
|
3 |
+
size 3439
|
vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|