Training in progress, step 4500, checkpoint
Browse files- checkpoint-4500/config.json +195 -0
- checkpoint-4500/generation_config.json +4 -0
- checkpoint-4500/model.safetensors +3 -0
- checkpoint-4500/optimizer.pt +3 -0
- checkpoint-4500/rng_state_0.pth +3 -0
- checkpoint-4500/rng_state_1.pth +3 -0
- checkpoint-4500/rng_state_2.pth +3 -0
- checkpoint-4500/rng_state_3.pth +3 -0
- checkpoint-4500/scheduler.pt +3 -0
- checkpoint-4500/trainer_state.json +3243 -0
- checkpoint-4500/training_args.bin +3 -0
checkpoint-4500/config.json
ADDED
@@ -0,0 +1,195 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"SrcProberForConditionalGeneration"
|
4 |
+
],
|
5 |
+
"asm_encoder_config": {
|
6 |
+
"_name_or_path": "",
|
7 |
+
"add_cross_attention": false,
|
8 |
+
"architectures": [
|
9 |
+
"LongelmForMaskedLMWithEdgePrediction"
|
10 |
+
],
|
11 |
+
"attention_probs_dropout_prob": 0.1,
|
12 |
+
"bad_words_ids": null,
|
13 |
+
"begin_suppress_tokens": null,
|
14 |
+
"block_size": 8,
|
15 |
+
"bos_token_id": 1,
|
16 |
+
"chunk_size_feed_forward": 0,
|
17 |
+
"classifier_dropout": null,
|
18 |
+
"cross_attention_hidden_size": null,
|
19 |
+
"decoder_start_token_id": null,
|
20 |
+
"diversity_penalty": 0.0,
|
21 |
+
"do_sample": false,
|
22 |
+
"early_stopping": false,
|
23 |
+
"encoder_no_repeat_ngram_size": 0,
|
24 |
+
"eos_token_id": 2,
|
25 |
+
"ep_add_linear_projection": true,
|
26 |
+
"exponential_decay_length_penalty": null,
|
27 |
+
"finetuning_task": null,
|
28 |
+
"forced_bos_token_id": null,
|
29 |
+
"forced_eos_token_id": null,
|
30 |
+
"global_memory_size": 1,
|
31 |
+
"hidden_act": "gelu",
|
32 |
+
"hidden_dropout_prob": 0.1,
|
33 |
+
"hidden_size": 768,
|
34 |
+
"id2label": {
|
35 |
+
"0": "LABEL_0",
|
36 |
+
"1": "LABEL_1"
|
37 |
+
},
|
38 |
+
"initializer_range": 0.02,
|
39 |
+
"intermediate_size": 3072,
|
40 |
+
"is_decoder": false,
|
41 |
+
"is_encoder_decoder": false,
|
42 |
+
"label2id": {
|
43 |
+
"LABEL_0": 0,
|
44 |
+
"LABEL_1": 1
|
45 |
+
},
|
46 |
+
"layer_norm_eps": 1e-12,
|
47 |
+
"length_penalty": 1.0,
|
48 |
+
"max_blocks": 200,
|
49 |
+
"max_length": 20,
|
50 |
+
"max_position_embeddings": 1805,
|
51 |
+
"max_relative_position_embeddings": 8,
|
52 |
+
"min_length": 0,
|
53 |
+
"model_type": "longelm",
|
54 |
+
"no_repeat_ngram_size": 0,
|
55 |
+
"node_size": 1,
|
56 |
+
"num_attention_heads": 12,
|
57 |
+
"num_beam_groups": 1,
|
58 |
+
"num_beams": 1,
|
59 |
+
"num_hidden_layers": 12,
|
60 |
+
"num_return_sequences": 1,
|
61 |
+
"output_attentions": false,
|
62 |
+
"output_hidden_states": false,
|
63 |
+
"output_scores": false,
|
64 |
+
"pad_token_id": 3,
|
65 |
+
"position_embedding_type": "mixed",
|
66 |
+
"prefix": null,
|
67 |
+
"problem_type": null,
|
68 |
+
"pruned_heads": {},
|
69 |
+
"remove_invalid_values": false,
|
70 |
+
"repetition_penalty": 1.0,
|
71 |
+
"return_dict": true,
|
72 |
+
"return_dict_in_generate": false,
|
73 |
+
"sep_token_id": null,
|
74 |
+
"suppress_tokens": null,
|
75 |
+
"task_specific_params": null,
|
76 |
+
"temperature": 1.0,
|
77 |
+
"tf_legacy_loss": false,
|
78 |
+
"tie_encoder_decoder": false,
|
79 |
+
"tie_word_embeddings": true,
|
80 |
+
"tokenizer_class": null,
|
81 |
+
"top_k": 50,
|
82 |
+
"top_p": 1.0,
|
83 |
+
"torch_dtype": "float32",
|
84 |
+
"torchscript": false,
|
85 |
+
"type_vocab_size": 2,
|
86 |
+
"typical_p": 1.0,
|
87 |
+
"use_bfloat16": false,
|
88 |
+
"use_cache": true,
|
89 |
+
"vocab_size": 50265
|
90 |
+
},
|
91 |
+
"asm_feature_select_strategy": "nodes",
|
92 |
+
"asm_token_index": 32016,
|
93 |
+
"ignore_index": -100,
|
94 |
+
"model_type": "rad-prober",
|
95 |
+
"pad_token_id": 2,
|
96 |
+
"projector_hidden_act": "gelu",
|
97 |
+
"src_lm_config": {
|
98 |
+
"_name_or_path": "codellama/CodeLlama-13b-hf",
|
99 |
+
"add_cross_attention": false,
|
100 |
+
"architectures": [
|
101 |
+
"LlamaForCausalLM"
|
102 |
+
],
|
103 |
+
"attention_bias": false,
|
104 |
+
"attention_dropout": 0.0,
|
105 |
+
"bad_words_ids": null,
|
106 |
+
"begin_suppress_tokens": null,
|
107 |
+
"bos_token_id": 1,
|
108 |
+
"chunk_size_feed_forward": 0,
|
109 |
+
"cross_attention_hidden_size": null,
|
110 |
+
"decoder_start_token_id": null,
|
111 |
+
"diversity_penalty": 0.0,
|
112 |
+
"do_sample": false,
|
113 |
+
"early_stopping": false,
|
114 |
+
"encoder_no_repeat_ngram_size": 0,
|
115 |
+
"eos_token_id": 2,
|
116 |
+
"exponential_decay_length_penalty": null,
|
117 |
+
"finetuning_task": null,
|
118 |
+
"forced_bos_token_id": null,
|
119 |
+
"forced_eos_token_id": null,
|
120 |
+
"hidden_act": "silu",
|
121 |
+
"hidden_size": 5120,
|
122 |
+
"id2label": {
|
123 |
+
"0": "LABEL_0",
|
124 |
+
"1": "LABEL_1"
|
125 |
+
},
|
126 |
+
"initializer_range": 0.02,
|
127 |
+
"intermediate_size": 13824,
|
128 |
+
"is_decoder": false,
|
129 |
+
"is_encoder_decoder": false,
|
130 |
+
"label2id": {
|
131 |
+
"LABEL_0": 0,
|
132 |
+
"LABEL_1": 1
|
133 |
+
},
|
134 |
+
"length_penalty": 1.0,
|
135 |
+
"max_length": 20,
|
136 |
+
"max_position_embeddings": 16384,
|
137 |
+
"min_length": 0,
|
138 |
+
"model_type": "llama",
|
139 |
+
"no_repeat_ngram_size": 0,
|
140 |
+
"num_attention_heads": 40,
|
141 |
+
"num_beam_groups": 1,
|
142 |
+
"num_beams": 1,
|
143 |
+
"num_hidden_layers": 40,
|
144 |
+
"num_key_value_heads": 40,
|
145 |
+
"num_return_sequences": 1,
|
146 |
+
"output_attentions": false,
|
147 |
+
"output_hidden_states": false,
|
148 |
+
"output_scores": false,
|
149 |
+
"pad_token_id": null,
|
150 |
+
"prefix": null,
|
151 |
+
"pretraining_tp": 1,
|
152 |
+
"problem_type": null,
|
153 |
+
"pruned_heads": {},
|
154 |
+
"quantization_config": {
|
155 |
+
"_load_in_4bit": false,
|
156 |
+
"_load_in_8bit": true,
|
157 |
+
"bnb_4bit_compute_dtype": "float32",
|
158 |
+
"bnb_4bit_quant_storage": "uint8",
|
159 |
+
"bnb_4bit_quant_type": "fp4",
|
160 |
+
"bnb_4bit_use_double_quant": false,
|
161 |
+
"llm_int8_enable_fp32_cpu_offload": false,
|
162 |
+
"llm_int8_has_fp16_weight": false,
|
163 |
+
"llm_int8_skip_modules": null,
|
164 |
+
"llm_int8_threshold": 6.0,
|
165 |
+
"load_in_4bit": false,
|
166 |
+
"load_in_8bit": true,
|
167 |
+
"quant_method": "bitsandbytes"
|
168 |
+
},
|
169 |
+
"remove_invalid_values": false,
|
170 |
+
"repetition_penalty": 1.0,
|
171 |
+
"return_dict": true,
|
172 |
+
"return_dict_in_generate": false,
|
173 |
+
"rms_norm_eps": 1e-05,
|
174 |
+
"rope_scaling": null,
|
175 |
+
"rope_theta": 1000000,
|
176 |
+
"sep_token_id": null,
|
177 |
+
"suppress_tokens": null,
|
178 |
+
"task_specific_params": null,
|
179 |
+
"temperature": 1.0,
|
180 |
+
"tf_legacy_loss": false,
|
181 |
+
"tie_encoder_decoder": false,
|
182 |
+
"tie_word_embeddings": false,
|
183 |
+
"tokenizer_class": null,
|
184 |
+
"top_k": 50,
|
185 |
+
"top_p": 1.0,
|
186 |
+
"torch_dtype": "bfloat16",
|
187 |
+
"torchscript": false,
|
188 |
+
"typical_p": 1.0,
|
189 |
+
"use_bfloat16": false,
|
190 |
+
"use_cache": true,
|
191 |
+
"vocab_size": 32017
|
192 |
+
},
|
193 |
+
"torch_dtype": "float32",
|
194 |
+
"transformers_version": "4.39.3"
|
195 |
+
}
|
checkpoint-4500/generation_config.json
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_from_model_config": true,
|
3 |
+
"transformers_version": "4.39.3"
|
4 |
+
}
|
checkpoint-4500/model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c052628cc7c4037eef708b654c4cb738f804fcbdbad1fee1869993a8aa67e0c5
|
3 |
+
size 620848256
|
checkpoint-4500/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8a44d00a6b2c3535fe10c9665ed3083b2c5a9cf2accf301a7086145cb43e3af6
|
3 |
+
size 297976223
|
checkpoint-4500/rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d5001d04cc8c81fc521ea6b19ebd35f403d7cd0b83185cf92479861fec077f02
|
3 |
+
size 14960
|
checkpoint-4500/rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:020795b6ecb9d4c15d4574d28a242acf25a05910ffaa3e3a0750e946162eb44e
|
3 |
+
size 14960
|
checkpoint-4500/rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:88b16b81ab55aa96b87c71ac28cfe34d5b2037ffdcfe2ee31903a33bfdfbb357
|
3 |
+
size 14960
|
checkpoint-4500/rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:657ac15120d11a9da13386d71daf1e0736411db7947bc6b5cd84f57b3ef4d322
|
3 |
+
size 14960
|
checkpoint-4500/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:64df5f47e16c4fd4bb1c51967afddcf2190dfeea7242ce3c952dc50865339895
|
3 |
+
size 1064
|
checkpoint-4500/trainer_state.json
ADDED
@@ -0,0 +1,3243 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 1.0874818753020783,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 4500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"grad_norm": NaN,
|
14 |
+
"learning_rate": 2.0000000000000002e-07,
|
15 |
+
"loss": 2.0414,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.0,
|
20 |
+
"grad_norm": 53.515953063964844,
|
21 |
+
"learning_rate": 6.5e-07,
|
22 |
+
"loss": 1.8355,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.01,
|
27 |
+
"grad_norm": 27.920907974243164,
|
28 |
+
"learning_rate": 1.15e-06,
|
29 |
+
"loss": 1.5172,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.01,
|
34 |
+
"grad_norm": 20.47172737121582,
|
35 |
+
"learning_rate": 1.65e-06,
|
36 |
+
"loss": 1.2654,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.01,
|
41 |
+
"grad_norm": 8.903529167175293,
|
42 |
+
"learning_rate": 2.1499999999999997e-06,
|
43 |
+
"loss": 1.1095,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.01,
|
48 |
+
"grad_norm": 5.902841567993164,
|
49 |
+
"learning_rate": 2.65e-06,
|
50 |
+
"loss": 1.0017,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.02,
|
55 |
+
"grad_norm": 2.9340908527374268,
|
56 |
+
"learning_rate": 3.1500000000000003e-06,
|
57 |
+
"loss": 0.8846,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 0.02,
|
62 |
+
"grad_norm": 8.701367378234863,
|
63 |
+
"learning_rate": 3.6499999999999998e-06,
|
64 |
+
"loss": 0.8572,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 0.02,
|
69 |
+
"grad_norm": 1.3205362558364868,
|
70 |
+
"learning_rate": 4.15e-06,
|
71 |
+
"loss": 0.839,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 0.02,
|
76 |
+
"grad_norm": 3.0334558486938477,
|
77 |
+
"learning_rate": 4.65e-06,
|
78 |
+
"loss": 0.7838,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 0.03,
|
83 |
+
"grad_norm": 1.8086520433425903,
|
84 |
+
"learning_rate": 5.15e-06,
|
85 |
+
"loss": 0.7782,
|
86 |
+
"step": 110
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.03,
|
90 |
+
"grad_norm": 29.50135040283203,
|
91 |
+
"learning_rate": 5.65e-06,
|
92 |
+
"loss": 0.7883,
|
93 |
+
"step": 120
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 0.03,
|
97 |
+
"grad_norm": 3.2708683013916016,
|
98 |
+
"learning_rate": 6.15e-06,
|
99 |
+
"loss": 0.7961,
|
100 |
+
"step": 130
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 0.03,
|
104 |
+
"grad_norm": 33.43790817260742,
|
105 |
+
"learning_rate": 6.650000000000001e-06,
|
106 |
+
"loss": 0.7626,
|
107 |
+
"step": 140
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 0.04,
|
111 |
+
"grad_norm": 1.2334959506988525,
|
112 |
+
"learning_rate": 7.15e-06,
|
113 |
+
"loss": 0.7732,
|
114 |
+
"step": 150
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 0.04,
|
118 |
+
"grad_norm": 1.7489686012268066,
|
119 |
+
"learning_rate": 7.65e-06,
|
120 |
+
"loss": 0.7715,
|
121 |
+
"step": 160
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 0.04,
|
125 |
+
"grad_norm": 3.358823776245117,
|
126 |
+
"learning_rate": 8.15e-06,
|
127 |
+
"loss": 0.7778,
|
128 |
+
"step": 170
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.04,
|
132 |
+
"grad_norm": 4.348245620727539,
|
133 |
+
"learning_rate": 8.65e-06,
|
134 |
+
"loss": 0.7619,
|
135 |
+
"step": 180
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.05,
|
139 |
+
"grad_norm": 0.9023125767707825,
|
140 |
+
"learning_rate": 9.15e-06,
|
141 |
+
"loss": 0.7746,
|
142 |
+
"step": 190
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 0.05,
|
146 |
+
"grad_norm": 0.9158114790916443,
|
147 |
+
"learning_rate": 9.65e-06,
|
148 |
+
"loss": 0.7592,
|
149 |
+
"step": 200
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 0.05,
|
153 |
+
"grad_norm": 0.6256226301193237,
|
154 |
+
"learning_rate": 1.0150000000000001e-05,
|
155 |
+
"loss": 0.7787,
|
156 |
+
"step": 210
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.05,
|
160 |
+
"grad_norm": 0.3805778920650482,
|
161 |
+
"learning_rate": 1.065e-05,
|
162 |
+
"loss": 0.7811,
|
163 |
+
"step": 220
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 0.06,
|
167 |
+
"grad_norm": 0.6968041062355042,
|
168 |
+
"learning_rate": 1.115e-05,
|
169 |
+
"loss": 0.73,
|
170 |
+
"step": 230
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.06,
|
174 |
+
"grad_norm": 0.9035410284996033,
|
175 |
+
"learning_rate": 1.1650000000000002e-05,
|
176 |
+
"loss": 0.7518,
|
177 |
+
"step": 240
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 0.06,
|
181 |
+
"grad_norm": 1.6727488040924072,
|
182 |
+
"learning_rate": 1.215e-05,
|
183 |
+
"loss": 0.7805,
|
184 |
+
"step": 250
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 0.06,
|
188 |
+
"grad_norm": 0.4153461158275604,
|
189 |
+
"learning_rate": 1.2650000000000001e-05,
|
190 |
+
"loss": 0.7706,
|
191 |
+
"step": 260
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 0.07,
|
195 |
+
"grad_norm": 1.4846651554107666,
|
196 |
+
"learning_rate": 1.3150000000000001e-05,
|
197 |
+
"loss": 0.7492,
|
198 |
+
"step": 270
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 0.07,
|
202 |
+
"grad_norm": 2.6631388664245605,
|
203 |
+
"learning_rate": 1.3650000000000001e-05,
|
204 |
+
"loss": 0.7681,
|
205 |
+
"step": 280
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 0.07,
|
209 |
+
"grad_norm": 0.6325013041496277,
|
210 |
+
"learning_rate": 1.415e-05,
|
211 |
+
"loss": 0.7753,
|
212 |
+
"step": 290
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.07,
|
216 |
+
"grad_norm": 0.877907395362854,
|
217 |
+
"learning_rate": 1.465e-05,
|
218 |
+
"loss": 0.7188,
|
219 |
+
"step": 300
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 0.07,
|
223 |
+
"grad_norm": 0.37142279744148254,
|
224 |
+
"learning_rate": 1.515e-05,
|
225 |
+
"loss": 0.7204,
|
226 |
+
"step": 310
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 0.08,
|
230 |
+
"grad_norm": 0.7337246537208557,
|
231 |
+
"learning_rate": 1.565e-05,
|
232 |
+
"loss": 0.778,
|
233 |
+
"step": 320
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 0.08,
|
237 |
+
"grad_norm": 0.5847220420837402,
|
238 |
+
"learning_rate": 1.6150000000000003e-05,
|
239 |
+
"loss": 0.7288,
|
240 |
+
"step": 330
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.08,
|
244 |
+
"grad_norm": 3.745180606842041,
|
245 |
+
"learning_rate": 1.665e-05,
|
246 |
+
"loss": 0.7531,
|
247 |
+
"step": 340
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 0.08,
|
251 |
+
"grad_norm": 0.357301265001297,
|
252 |
+
"learning_rate": 1.7150000000000004e-05,
|
253 |
+
"loss": 0.7448,
|
254 |
+
"step": 350
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.09,
|
258 |
+
"grad_norm": 0.9032486081123352,
|
259 |
+
"learning_rate": 1.765e-05,
|
260 |
+
"loss": 0.7651,
|
261 |
+
"step": 360
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.09,
|
265 |
+
"grad_norm": 0.2864232361316681,
|
266 |
+
"learning_rate": 1.815e-05,
|
267 |
+
"loss": 0.7193,
|
268 |
+
"step": 370
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 0.09,
|
272 |
+
"grad_norm": 1.8560261726379395,
|
273 |
+
"learning_rate": 1.865e-05,
|
274 |
+
"loss": 0.7421,
|
275 |
+
"step": 380
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 0.09,
|
279 |
+
"grad_norm": 0.2971792221069336,
|
280 |
+
"learning_rate": 1.915e-05,
|
281 |
+
"loss": 0.7171,
|
282 |
+
"step": 390
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 0.1,
|
286 |
+
"grad_norm": 0.40850627422332764,
|
287 |
+
"learning_rate": 1.9650000000000003e-05,
|
288 |
+
"loss": 0.7459,
|
289 |
+
"step": 400
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 0.1,
|
293 |
+
"grad_norm": 0.3934139311313629,
|
294 |
+
"learning_rate": 2.0150000000000002e-05,
|
295 |
+
"loss": 0.7205,
|
296 |
+
"step": 410
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.1,
|
300 |
+
"grad_norm": 1.8674131631851196,
|
301 |
+
"learning_rate": 2.065e-05,
|
302 |
+
"loss": 0.752,
|
303 |
+
"step": 420
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 0.1,
|
307 |
+
"grad_norm": 0.36707818508148193,
|
308 |
+
"learning_rate": 2.115e-05,
|
309 |
+
"loss": 0.7494,
|
310 |
+
"step": 430
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 0.11,
|
314 |
+
"grad_norm": 0.5044310092926025,
|
315 |
+
"learning_rate": 2.165e-05,
|
316 |
+
"loss": 0.7595,
|
317 |
+
"step": 440
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 0.11,
|
321 |
+
"grad_norm": 1.9025150537490845,
|
322 |
+
"learning_rate": 2.215e-05,
|
323 |
+
"loss": 0.7379,
|
324 |
+
"step": 450
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 0.11,
|
328 |
+
"grad_norm": 0.5004140138626099,
|
329 |
+
"learning_rate": 2.265e-05,
|
330 |
+
"loss": 0.7886,
|
331 |
+
"step": 460
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 0.11,
|
335 |
+
"grad_norm": 3.544482707977295,
|
336 |
+
"learning_rate": 2.3150000000000004e-05,
|
337 |
+
"loss": 0.7259,
|
338 |
+
"step": 470
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.12,
|
342 |
+
"grad_norm": 0.33023321628570557,
|
343 |
+
"learning_rate": 2.365e-05,
|
344 |
+
"loss": 0.7333,
|
345 |
+
"step": 480
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.12,
|
349 |
+
"grad_norm": 0.3548080325126648,
|
350 |
+
"learning_rate": 2.415e-05,
|
351 |
+
"loss": 0.7527,
|
352 |
+
"step": 490
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 0.12,
|
356 |
+
"grad_norm": 0.42450150847435,
|
357 |
+
"learning_rate": 2.465e-05,
|
358 |
+
"loss": 0.7443,
|
359 |
+
"step": 500
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 0.12,
|
363 |
+
"eval_loss": 0.7428915500640869,
|
364 |
+
"eval_runtime": 68.3143,
|
365 |
+
"eval_samples_per_second": 29.276,
|
366 |
+
"eval_steps_per_second": 0.922,
|
367 |
+
"step": 500
|
368 |
+
},
|
369 |
+
{
|
370 |
+
"epoch": 0.12,
|
371 |
+
"grad_norm": 0.3299656808376312,
|
372 |
+
"learning_rate": 2.515e-05,
|
373 |
+
"loss": 0.7447,
|
374 |
+
"step": 510
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.13,
|
378 |
+
"grad_norm": 0.27258285880088806,
|
379 |
+
"learning_rate": 2.5650000000000003e-05,
|
380 |
+
"loss": 0.7278,
|
381 |
+
"step": 520
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 0.13,
|
385 |
+
"grad_norm": 0.23753009736537933,
|
386 |
+
"learning_rate": 2.6150000000000002e-05,
|
387 |
+
"loss": 0.7721,
|
388 |
+
"step": 530
|
389 |
+
},
|
390 |
+
{
|
391 |
+
"epoch": 0.13,
|
392 |
+
"grad_norm": 1.1074901819229126,
|
393 |
+
"learning_rate": 2.6650000000000004e-05,
|
394 |
+
"loss": 0.7383,
|
395 |
+
"step": 540
|
396 |
+
},
|
397 |
+
{
|
398 |
+
"epoch": 0.13,
|
399 |
+
"grad_norm": 0.428067147731781,
|
400 |
+
"learning_rate": 2.7150000000000003e-05,
|
401 |
+
"loss": 0.7508,
|
402 |
+
"step": 550
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 0.14,
|
406 |
+
"grad_norm": 0.35956478118896484,
|
407 |
+
"learning_rate": 2.7650000000000005e-05,
|
408 |
+
"loss": 0.7461,
|
409 |
+
"step": 560
|
410 |
+
},
|
411 |
+
{
|
412 |
+
"epoch": 0.14,
|
413 |
+
"grad_norm": 0.23017314076423645,
|
414 |
+
"learning_rate": 2.815e-05,
|
415 |
+
"loss": 0.7463,
|
416 |
+
"step": 570
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.14,
|
420 |
+
"grad_norm": 0.20370900630950928,
|
421 |
+
"learning_rate": 2.865e-05,
|
422 |
+
"loss": 0.7405,
|
423 |
+
"step": 580
|
424 |
+
},
|
425 |
+
{
|
426 |
+
"epoch": 0.14,
|
427 |
+
"grad_norm": 0.24586541950702667,
|
428 |
+
"learning_rate": 2.915e-05,
|
429 |
+
"loss": 0.6964,
|
430 |
+
"step": 590
|
431 |
+
},
|
432 |
+
{
|
433 |
+
"epoch": 0.14,
|
434 |
+
"grad_norm": 0.27857884764671326,
|
435 |
+
"learning_rate": 2.965e-05,
|
436 |
+
"loss": 0.7376,
|
437 |
+
"step": 600
|
438 |
+
},
|
439 |
+
{
|
440 |
+
"epoch": 0.15,
|
441 |
+
"grad_norm": 0.2655833065509796,
|
442 |
+
"learning_rate": 3.015e-05,
|
443 |
+
"loss": 0.7496,
|
444 |
+
"step": 610
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 0.15,
|
448 |
+
"grad_norm": 0.17174670100212097,
|
449 |
+
"learning_rate": 3.065e-05,
|
450 |
+
"loss": 0.7219,
|
451 |
+
"step": 620
|
452 |
+
},
|
453 |
+
{
|
454 |
+
"epoch": 0.15,
|
455 |
+
"grad_norm": 0.22892743349075317,
|
456 |
+
"learning_rate": 3.115e-05,
|
457 |
+
"loss": 0.7111,
|
458 |
+
"step": 630
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.15,
|
462 |
+
"grad_norm": 0.5913789868354797,
|
463 |
+
"learning_rate": 3.1650000000000004e-05,
|
464 |
+
"loss": 0.7097,
|
465 |
+
"step": 640
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 0.16,
|
469 |
+
"grad_norm": 0.25620004534721375,
|
470 |
+
"learning_rate": 3.215e-05,
|
471 |
+
"loss": 0.7306,
|
472 |
+
"step": 650
|
473 |
+
},
|
474 |
+
{
|
475 |
+
"epoch": 0.16,
|
476 |
+
"grad_norm": 0.3311476409435272,
|
477 |
+
"learning_rate": 3.265e-05,
|
478 |
+
"loss": 0.7406,
|
479 |
+
"step": 660
|
480 |
+
},
|
481 |
+
{
|
482 |
+
"epoch": 0.16,
|
483 |
+
"grad_norm": 0.4708893597126007,
|
484 |
+
"learning_rate": 3.3150000000000006e-05,
|
485 |
+
"loss": 0.7071,
|
486 |
+
"step": 670
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 0.16,
|
490 |
+
"grad_norm": 0.22469288110733032,
|
491 |
+
"learning_rate": 3.3650000000000005e-05,
|
492 |
+
"loss": 0.7116,
|
493 |
+
"step": 680
|
494 |
+
},
|
495 |
+
{
|
496 |
+
"epoch": 0.17,
|
497 |
+
"grad_norm": 0.2909330725669861,
|
498 |
+
"learning_rate": 3.415e-05,
|
499 |
+
"loss": 0.7592,
|
500 |
+
"step": 690
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.17,
|
504 |
+
"grad_norm": 0.21274766325950623,
|
505 |
+
"learning_rate": 3.465e-05,
|
506 |
+
"loss": 0.7144,
|
507 |
+
"step": 700
|
508 |
+
},
|
509 |
+
{
|
510 |
+
"epoch": 0.17,
|
511 |
+
"grad_norm": 0.23929230868816376,
|
512 |
+
"learning_rate": 3.515e-05,
|
513 |
+
"loss": 0.7382,
|
514 |
+
"step": 710
|
515 |
+
},
|
516 |
+
{
|
517 |
+
"epoch": 0.17,
|
518 |
+
"grad_norm": 0.3021218180656433,
|
519 |
+
"learning_rate": 3.565e-05,
|
520 |
+
"loss": 0.7287,
|
521 |
+
"step": 720
|
522 |
+
},
|
523 |
+
{
|
524 |
+
"epoch": 0.18,
|
525 |
+
"grad_norm": 0.23557321727275848,
|
526 |
+
"learning_rate": 3.615e-05,
|
527 |
+
"loss": 0.7475,
|
528 |
+
"step": 730
|
529 |
+
},
|
530 |
+
{
|
531 |
+
"epoch": 0.18,
|
532 |
+
"grad_norm": 0.22648084163665771,
|
533 |
+
"learning_rate": 3.665e-05,
|
534 |
+
"loss": 0.7457,
|
535 |
+
"step": 740
|
536 |
+
},
|
537 |
+
{
|
538 |
+
"epoch": 0.18,
|
539 |
+
"grad_norm": 0.2707761824131012,
|
540 |
+
"learning_rate": 3.715e-05,
|
541 |
+
"loss": 0.7322,
|
542 |
+
"step": 750
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.18,
|
546 |
+
"grad_norm": 0.2799661457538605,
|
547 |
+
"learning_rate": 3.765e-05,
|
548 |
+
"loss": 0.7682,
|
549 |
+
"step": 760
|
550 |
+
},
|
551 |
+
{
|
552 |
+
"epoch": 0.19,
|
553 |
+
"grad_norm": 0.326861172914505,
|
554 |
+
"learning_rate": 3.8150000000000006e-05,
|
555 |
+
"loss": 0.73,
|
556 |
+
"step": 770
|
557 |
+
},
|
558 |
+
{
|
559 |
+
"epoch": 0.19,
|
560 |
+
"grad_norm": 0.31985723972320557,
|
561 |
+
"learning_rate": 3.8650000000000004e-05,
|
562 |
+
"loss": 0.744,
|
563 |
+
"step": 780
|
564 |
+
},
|
565 |
+
{
|
566 |
+
"epoch": 0.19,
|
567 |
+
"grad_norm": 0.21637533605098724,
|
568 |
+
"learning_rate": 3.915e-05,
|
569 |
+
"loss": 0.7161,
|
570 |
+
"step": 790
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 0.19,
|
574 |
+
"grad_norm": 0.26102888584136963,
|
575 |
+
"learning_rate": 3.965e-05,
|
576 |
+
"loss": 0.7553,
|
577 |
+
"step": 800
|
578 |
+
},
|
579 |
+
{
|
580 |
+
"epoch": 0.2,
|
581 |
+
"grad_norm": 0.2469174712896347,
|
582 |
+
"learning_rate": 4.015000000000001e-05,
|
583 |
+
"loss": 0.7444,
|
584 |
+
"step": 810
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.2,
|
588 |
+
"grad_norm": 0.2022310495376587,
|
589 |
+
"learning_rate": 4.065e-05,
|
590 |
+
"loss": 0.7089,
|
591 |
+
"step": 820
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 0.2,
|
595 |
+
"grad_norm": 0.1729898750782013,
|
596 |
+
"learning_rate": 4.115e-05,
|
597 |
+
"loss": 0.7122,
|
598 |
+
"step": 830
|
599 |
+
},
|
600 |
+
{
|
601 |
+
"epoch": 0.2,
|
602 |
+
"grad_norm": 0.22450707852840424,
|
603 |
+
"learning_rate": 4.165e-05,
|
604 |
+
"loss": 0.7099,
|
605 |
+
"step": 840
|
606 |
+
},
|
607 |
+
{
|
608 |
+
"epoch": 0.21,
|
609 |
+
"grad_norm": 0.22389698028564453,
|
610 |
+
"learning_rate": 4.215e-05,
|
611 |
+
"loss": 0.7445,
|
612 |
+
"step": 850
|
613 |
+
},
|
614 |
+
{
|
615 |
+
"epoch": 0.21,
|
616 |
+
"grad_norm": 0.24962696433067322,
|
617 |
+
"learning_rate": 4.265e-05,
|
618 |
+
"loss": 0.7052,
|
619 |
+
"step": 860
|
620 |
+
},
|
621 |
+
{
|
622 |
+
"epoch": 0.21,
|
623 |
+
"grad_norm": 0.23780404031276703,
|
624 |
+
"learning_rate": 4.315e-05,
|
625 |
+
"loss": 0.7423,
|
626 |
+
"step": 870
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.21,
|
630 |
+
"grad_norm": 0.2434270679950714,
|
631 |
+
"learning_rate": 4.3650000000000004e-05,
|
632 |
+
"loss": 0.7291,
|
633 |
+
"step": 880
|
634 |
+
},
|
635 |
+
{
|
636 |
+
"epoch": 0.22,
|
637 |
+
"grad_norm": 0.3332350552082062,
|
638 |
+
"learning_rate": 4.415e-05,
|
639 |
+
"loss": 0.7306,
|
640 |
+
"step": 890
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 0.22,
|
644 |
+
"grad_norm": 0.5084495544433594,
|
645 |
+
"learning_rate": 4.465e-05,
|
646 |
+
"loss": 0.735,
|
647 |
+
"step": 900
|
648 |
+
},
|
649 |
+
{
|
650 |
+
"epoch": 0.22,
|
651 |
+
"grad_norm": 0.27552103996276855,
|
652 |
+
"learning_rate": 4.5150000000000006e-05,
|
653 |
+
"loss": 0.7082,
|
654 |
+
"step": 910
|
655 |
+
},
|
656 |
+
{
|
657 |
+
"epoch": 0.22,
|
658 |
+
"grad_norm": 0.2184416800737381,
|
659 |
+
"learning_rate": 4.5650000000000005e-05,
|
660 |
+
"loss": 0.7066,
|
661 |
+
"step": 920
|
662 |
+
},
|
663 |
+
{
|
664 |
+
"epoch": 0.22,
|
665 |
+
"grad_norm": 0.21738290786743164,
|
666 |
+
"learning_rate": 4.6150000000000004e-05,
|
667 |
+
"loss": 0.6977,
|
668 |
+
"step": 930
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.23,
|
672 |
+
"grad_norm": 0.21888123452663422,
|
673 |
+
"learning_rate": 4.665e-05,
|
674 |
+
"loss": 0.7083,
|
675 |
+
"step": 940
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 0.23,
|
679 |
+
"grad_norm": 0.2516074776649475,
|
680 |
+
"learning_rate": 4.715e-05,
|
681 |
+
"loss": 0.7451,
|
682 |
+
"step": 950
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 0.23,
|
686 |
+
"grad_norm": 0.39361557364463806,
|
687 |
+
"learning_rate": 4.765e-05,
|
688 |
+
"loss": 0.7013,
|
689 |
+
"step": 960
|
690 |
+
},
|
691 |
+
{
|
692 |
+
"epoch": 0.23,
|
693 |
+
"grad_norm": 0.2461744099855423,
|
694 |
+
"learning_rate": 4.815e-05,
|
695 |
+
"loss": 0.7325,
|
696 |
+
"step": 970
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 0.24,
|
700 |
+
"grad_norm": 0.2554089426994324,
|
701 |
+
"learning_rate": 4.8650000000000003e-05,
|
702 |
+
"loss": 0.7384,
|
703 |
+
"step": 980
|
704 |
+
},
|
705 |
+
{
|
706 |
+
"epoch": 0.24,
|
707 |
+
"grad_norm": 0.2717374861240387,
|
708 |
+
"learning_rate": 4.915e-05,
|
709 |
+
"loss": 0.7172,
|
710 |
+
"step": 990
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.24,
|
714 |
+
"grad_norm": 0.35919347405433655,
|
715 |
+
"learning_rate": 4.965e-05,
|
716 |
+
"loss": 0.6851,
|
717 |
+
"step": 1000
|
718 |
+
},
|
719 |
+
{
|
720 |
+
"epoch": 0.24,
|
721 |
+
"eval_loss": 0.7169972658157349,
|
722 |
+
"eval_runtime": 67.4497,
|
723 |
+
"eval_samples_per_second": 29.652,
|
724 |
+
"eval_steps_per_second": 0.934,
|
725 |
+
"step": 1000
|
726 |
+
},
|
727 |
+
{
|
728 |
+
"epoch": 0.24,
|
729 |
+
"grad_norm": 0.19895273447036743,
|
730 |
+
"learning_rate": 4.999999713608037e-05,
|
731 |
+
"loss": 0.7104,
|
732 |
+
"step": 1010
|
733 |
+
},
|
734 |
+
{
|
735 |
+
"epoch": 0.25,
|
736 |
+
"grad_norm": 0.21741873025894165,
|
737 |
+
"learning_rate": 4.999994622197174e-05,
|
738 |
+
"loss": 0.7217,
|
739 |
+
"step": 1020
|
740 |
+
},
|
741 |
+
{
|
742 |
+
"epoch": 0.25,
|
743 |
+
"grad_norm": 0.3415576219558716,
|
744 |
+
"learning_rate": 4.999983166535371e-05,
|
745 |
+
"loss": 0.716,
|
746 |
+
"step": 1030
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.25,
|
750 |
+
"grad_norm": 0.22503221035003662,
|
751 |
+
"learning_rate": 4.99996534665179e-05,
|
752 |
+
"loss": 0.7166,
|
753 |
+
"step": 1040
|
754 |
+
},
|
755 |
+
{
|
756 |
+
"epoch": 0.25,
|
757 |
+
"grad_norm": 0.22469323873519897,
|
758 |
+
"learning_rate": 4.999941162591795e-05,
|
759 |
+
"loss": 0.7173,
|
760 |
+
"step": 1050
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 0.26,
|
764 |
+
"grad_norm": 0.24848666787147522,
|
765 |
+
"learning_rate": 4.999910614416952e-05,
|
766 |
+
"loss": 0.7442,
|
767 |
+
"step": 1060
|
768 |
+
},
|
769 |
+
{
|
770 |
+
"epoch": 0.26,
|
771 |
+
"grad_norm": 0.23361551761627197,
|
772 |
+
"learning_rate": 4.999873702205027e-05,
|
773 |
+
"loss": 0.7142,
|
774 |
+
"step": 1070
|
775 |
+
},
|
776 |
+
{
|
777 |
+
"epoch": 0.26,
|
778 |
+
"grad_norm": 0.2513304054737091,
|
779 |
+
"learning_rate": 4.999830426049987e-05,
|
780 |
+
"loss": 0.6998,
|
781 |
+
"step": 1080
|
782 |
+
},
|
783 |
+
{
|
784 |
+
"epoch": 0.26,
|
785 |
+
"grad_norm": 0.2846020758152008,
|
786 |
+
"learning_rate": 4.999780786062003e-05,
|
787 |
+
"loss": 0.6967,
|
788 |
+
"step": 1090
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.27,
|
792 |
+
"grad_norm": 0.2192545235157013,
|
793 |
+
"learning_rate": 4.999724782367441e-05,
|
794 |
+
"loss": 0.7259,
|
795 |
+
"step": 1100
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 0.27,
|
799 |
+
"grad_norm": 0.37123605608940125,
|
800 |
+
"learning_rate": 4.999662415108872e-05,
|
801 |
+
"loss": 0.7228,
|
802 |
+
"step": 1110
|
803 |
+
},
|
804 |
+
{
|
805 |
+
"epoch": 0.27,
|
806 |
+
"grad_norm": 0.3963713049888611,
|
807 |
+
"learning_rate": 4.999593684445063e-05,
|
808 |
+
"loss": 0.6848,
|
809 |
+
"step": 1120
|
810 |
+
},
|
811 |
+
{
|
812 |
+
"epoch": 0.27,
|
813 |
+
"grad_norm": 0.24653227627277374,
|
814 |
+
"learning_rate": 4.9995185905509836e-05,
|
815 |
+
"loss": 0.7181,
|
816 |
+
"step": 1130
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 0.28,
|
820 |
+
"grad_norm": 0.25218069553375244,
|
821 |
+
"learning_rate": 4.999437133617799e-05,
|
822 |
+
"loss": 0.7263,
|
823 |
+
"step": 1140
|
824 |
+
},
|
825 |
+
{
|
826 |
+
"epoch": 0.28,
|
827 |
+
"grad_norm": 0.20412948727607727,
|
828 |
+
"learning_rate": 4.9993493138528765e-05,
|
829 |
+
"loss": 0.6965,
|
830 |
+
"step": 1150
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.28,
|
834 |
+
"grad_norm": 0.21635311841964722,
|
835 |
+
"learning_rate": 4.9992551314797775e-05,
|
836 |
+
"loss": 0.7042,
|
837 |
+
"step": 1160
|
838 |
+
},
|
839 |
+
{
|
840 |
+
"epoch": 0.28,
|
841 |
+
"grad_norm": 0.21901027858257294,
|
842 |
+
"learning_rate": 4.999154586738264e-05,
|
843 |
+
"loss": 0.6967,
|
844 |
+
"step": 1170
|
845 |
+
},
|
846 |
+
{
|
847 |
+
"epoch": 0.29,
|
848 |
+
"grad_norm": 0.24104245007038116,
|
849 |
+
"learning_rate": 4.9990476798842935e-05,
|
850 |
+
"loss": 0.7009,
|
851 |
+
"step": 1180
|
852 |
+
},
|
853 |
+
{
|
854 |
+
"epoch": 0.29,
|
855 |
+
"grad_norm": 0.2433982491493225,
|
856 |
+
"learning_rate": 4.998934411190018e-05,
|
857 |
+
"loss": 0.7052,
|
858 |
+
"step": 1190
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 0.29,
|
862 |
+
"grad_norm": 0.5261262655258179,
|
863 |
+
"learning_rate": 4.9988147809437876e-05,
|
864 |
+
"loss": 0.7103,
|
865 |
+
"step": 1200
|
866 |
+
},
|
867 |
+
{
|
868 |
+
"epoch": 0.29,
|
869 |
+
"grad_norm": 0.36266064643859863,
|
870 |
+
"learning_rate": 4.998688789450146e-05,
|
871 |
+
"loss": 0.7028,
|
872 |
+
"step": 1210
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.29,
|
876 |
+
"grad_norm": 0.2509474754333496,
|
877 |
+
"learning_rate": 4.9985564370298274e-05,
|
878 |
+
"loss": 0.7047,
|
879 |
+
"step": 1220
|
880 |
+
},
|
881 |
+
{
|
882 |
+
"epoch": 0.3,
|
883 |
+
"grad_norm": 0.1925598382949829,
|
884 |
+
"learning_rate": 4.9984177240197665e-05,
|
885 |
+
"loss": 0.6943,
|
886 |
+
"step": 1230
|
887 |
+
},
|
888 |
+
{
|
889 |
+
"epoch": 0.3,
|
890 |
+
"grad_norm": 0.22494031488895416,
|
891 |
+
"learning_rate": 4.998272650773083e-05,
|
892 |
+
"loss": 0.6953,
|
893 |
+
"step": 1240
|
894 |
+
},
|
895 |
+
{
|
896 |
+
"epoch": 0.3,
|
897 |
+
"grad_norm": 0.24152888357639313,
|
898 |
+
"learning_rate": 4.998121217659092e-05,
|
899 |
+
"loss": 0.7181,
|
900 |
+
"step": 1250
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 0.3,
|
904 |
+
"grad_norm": 0.24296504259109497,
|
905 |
+
"learning_rate": 4.997963425063297e-05,
|
906 |
+
"loss": 0.6934,
|
907 |
+
"step": 1260
|
908 |
+
},
|
909 |
+
{
|
910 |
+
"epoch": 0.31,
|
911 |
+
"grad_norm": 0.2438274323940277,
|
912 |
+
"learning_rate": 4.9977992733873906e-05,
|
913 |
+
"loss": 0.7088,
|
914 |
+
"step": 1270
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.31,
|
918 |
+
"grad_norm": 0.21081580221652985,
|
919 |
+
"learning_rate": 4.997628763049257e-05,
|
920 |
+
"loss": 0.6833,
|
921 |
+
"step": 1280
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 0.31,
|
925 |
+
"grad_norm": 0.2111068218946457,
|
926 |
+
"learning_rate": 4.9974518944829626e-05,
|
927 |
+
"loss": 0.6922,
|
928 |
+
"step": 1290
|
929 |
+
},
|
930 |
+
{
|
931 |
+
"epoch": 0.31,
|
932 |
+
"grad_norm": 0.309772253036499,
|
933 |
+
"learning_rate": 4.997268668138766e-05,
|
934 |
+
"loss": 0.7195,
|
935 |
+
"step": 1300
|
936 |
+
},
|
937 |
+
{
|
938 |
+
"epoch": 0.32,
|
939 |
+
"grad_norm": 0.2199670672416687,
|
940 |
+
"learning_rate": 4.997079084483105e-05,
|
941 |
+
"loss": 0.6924,
|
942 |
+
"step": 1310
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 0.32,
|
946 |
+
"grad_norm": 0.21781674027442932,
|
947 |
+
"learning_rate": 4.996883143998605e-05,
|
948 |
+
"loss": 0.6873,
|
949 |
+
"step": 1320
|
950 |
+
},
|
951 |
+
{
|
952 |
+
"epoch": 0.32,
|
953 |
+
"grad_norm": 0.2969052791595459,
|
954 |
+
"learning_rate": 4.996680847184072e-05,
|
955 |
+
"loss": 0.7135,
|
956 |
+
"step": 1330
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.32,
|
960 |
+
"grad_norm": 0.23092682659626007,
|
961 |
+
"learning_rate": 4.996472194554495e-05,
|
962 |
+
"loss": 0.6827,
|
963 |
+
"step": 1340
|
964 |
+
},
|
965 |
+
{
|
966 |
+
"epoch": 0.33,
|
967 |
+
"grad_norm": 0.29615628719329834,
|
968 |
+
"learning_rate": 4.996257186641042e-05,
|
969 |
+
"loss": 0.6738,
|
970 |
+
"step": 1350
|
971 |
+
},
|
972 |
+
{
|
973 |
+
"epoch": 0.33,
|
974 |
+
"grad_norm": 0.23491479456424713,
|
975 |
+
"learning_rate": 4.99603582399106e-05,
|
976 |
+
"loss": 0.7396,
|
977 |
+
"step": 1360
|
978 |
+
},
|
979 |
+
{
|
980 |
+
"epoch": 0.33,
|
981 |
+
"grad_norm": 0.1986425668001175,
|
982 |
+
"learning_rate": 4.9958081071680726e-05,
|
983 |
+
"loss": 0.6787,
|
984 |
+
"step": 1370
|
985 |
+
},
|
986 |
+
{
|
987 |
+
"epoch": 0.33,
|
988 |
+
"grad_norm": 0.19658410549163818,
|
989 |
+
"learning_rate": 4.99557403675178e-05,
|
990 |
+
"loss": 0.66,
|
991 |
+
"step": 1380
|
992 |
+
},
|
993 |
+
{
|
994 |
+
"epoch": 0.34,
|
995 |
+
"grad_norm": 0.29404616355895996,
|
996 |
+
"learning_rate": 4.995333613338057e-05,
|
997 |
+
"loss": 0.6824,
|
998 |
+
"step": 1390
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.34,
|
1002 |
+
"grad_norm": 0.23689547181129456,
|
1003 |
+
"learning_rate": 4.9950868375389514e-05,
|
1004 |
+
"loss": 0.7008,
|
1005 |
+
"step": 1400
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 0.34,
|
1009 |
+
"grad_norm": 0.22758638858795166,
|
1010 |
+
"learning_rate": 4.99483370998268e-05,
|
1011 |
+
"loss": 0.6946,
|
1012 |
+
"step": 1410
|
1013 |
+
},
|
1014 |
+
{
|
1015 |
+
"epoch": 0.34,
|
1016 |
+
"grad_norm": 0.20259805023670197,
|
1017 |
+
"learning_rate": 4.994574231313634e-05,
|
1018 |
+
"loss": 0.6734,
|
1019 |
+
"step": 1420
|
1020 |
+
},
|
1021 |
+
{
|
1022 |
+
"epoch": 0.35,
|
1023 |
+
"grad_norm": 0.21935436129570007,
|
1024 |
+
"learning_rate": 4.994308402192366e-05,
|
1025 |
+
"loss": 0.7094,
|
1026 |
+
"step": 1430
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 0.35,
|
1030 |
+
"grad_norm": 0.23414015769958496,
|
1031 |
+
"learning_rate": 4.9940362232956026e-05,
|
1032 |
+
"loss": 0.7019,
|
1033 |
+
"step": 1440
|
1034 |
+
},
|
1035 |
+
{
|
1036 |
+
"epoch": 0.35,
|
1037 |
+
"grad_norm": 0.2623121440410614,
|
1038 |
+
"learning_rate": 4.993757695316228e-05,
|
1039 |
+
"loss": 0.6793,
|
1040 |
+
"step": 1450
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.35,
|
1044 |
+
"grad_norm": 0.31137487292289734,
|
1045 |
+
"learning_rate": 4.993472818963295e-05,
|
1046 |
+
"loss": 0.6902,
|
1047 |
+
"step": 1460
|
1048 |
+
},
|
1049 |
+
{
|
1050 |
+
"epoch": 0.36,
|
1051 |
+
"grad_norm": 0.22092680633068085,
|
1052 |
+
"learning_rate": 4.993181594962013e-05,
|
1053 |
+
"loss": 0.6912,
|
1054 |
+
"step": 1470
|
1055 |
+
},
|
1056 |
+
{
|
1057 |
+
"epoch": 0.36,
|
1058 |
+
"grad_norm": 0.23723623156547546,
|
1059 |
+
"learning_rate": 4.992884024053754e-05,
|
1060 |
+
"loss": 0.652,
|
1061 |
+
"step": 1480
|
1062 |
+
},
|
1063 |
+
{
|
1064 |
+
"epoch": 0.36,
|
1065 |
+
"grad_norm": 0.26028233766555786,
|
1066 |
+
"learning_rate": 4.9925801069960454e-05,
|
1067 |
+
"loss": 0.6969,
|
1068 |
+
"step": 1490
|
1069 |
+
},
|
1070 |
+
{
|
1071 |
+
"epoch": 0.36,
|
1072 |
+
"grad_norm": 0.23856200277805328,
|
1073 |
+
"learning_rate": 4.992269844562572e-05,
|
1074 |
+
"loss": 0.6723,
|
1075 |
+
"step": 1500
|
1076 |
+
},
|
1077 |
+
{
|
1078 |
+
"epoch": 0.36,
|
1079 |
+
"eval_loss": 0.6912096738815308,
|
1080 |
+
"eval_runtime": 67.244,
|
1081 |
+
"eval_samples_per_second": 29.742,
|
1082 |
+
"eval_steps_per_second": 0.937,
|
1083 |
+
"step": 1500
|
1084 |
+
},
|
1085 |
+
{
|
1086 |
+
"epoch": 0.36,
|
1087 |
+
"grad_norm": 0.167326420545578,
|
1088 |
+
"learning_rate": 4.9919532375431677e-05,
|
1089 |
+
"loss": 0.6897,
|
1090 |
+
"step": 1510
|
1091 |
+
},
|
1092 |
+
{
|
1093 |
+
"epoch": 0.37,
|
1094 |
+
"grad_norm": 0.26183101534843445,
|
1095 |
+
"learning_rate": 4.991630286743823e-05,
|
1096 |
+
"loss": 0.6844,
|
1097 |
+
"step": 1520
|
1098 |
+
},
|
1099 |
+
{
|
1100 |
+
"epoch": 0.37,
|
1101 |
+
"grad_norm": 0.25918036699295044,
|
1102 |
+
"learning_rate": 4.991300992986676e-05,
|
1103 |
+
"loss": 0.6645,
|
1104 |
+
"step": 1530
|
1105 |
+
},
|
1106 |
+
{
|
1107 |
+
"epoch": 0.37,
|
1108 |
+
"grad_norm": 0.2354690134525299,
|
1109 |
+
"learning_rate": 4.99096535711001e-05,
|
1110 |
+
"loss": 0.6672,
|
1111 |
+
"step": 1540
|
1112 |
+
},
|
1113 |
+
{
|
1114 |
+
"epoch": 0.37,
|
1115 |
+
"grad_norm": 0.24444998800754547,
|
1116 |
+
"learning_rate": 4.990623379968257e-05,
|
1117 |
+
"loss": 0.6749,
|
1118 |
+
"step": 1550
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 0.38,
|
1122 |
+
"grad_norm": 0.2562585771083832,
|
1123 |
+
"learning_rate": 4.990275062431989e-05,
|
1124 |
+
"loss": 0.6652,
|
1125 |
+
"step": 1560
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 0.38,
|
1129 |
+
"grad_norm": 0.22618699073791504,
|
1130 |
+
"learning_rate": 4.98992040538792e-05,
|
1131 |
+
"loss": 0.7163,
|
1132 |
+
"step": 1570
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 0.38,
|
1136 |
+
"grad_norm": 0.20957091450691223,
|
1137 |
+
"learning_rate": 4.9895594097389044e-05,
|
1138 |
+
"loss": 0.7053,
|
1139 |
+
"step": 1580
|
1140 |
+
},
|
1141 |
+
{
|
1142 |
+
"epoch": 0.38,
|
1143 |
+
"grad_norm": 0.26973310112953186,
|
1144 |
+
"learning_rate": 4.989192076403928e-05,
|
1145 |
+
"loss": 0.6716,
|
1146 |
+
"step": 1590
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 0.39,
|
1150 |
+
"grad_norm": 0.24841250479221344,
|
1151 |
+
"learning_rate": 4.9888184063181154e-05,
|
1152 |
+
"loss": 0.6884,
|
1153 |
+
"step": 1600
|
1154 |
+
},
|
1155 |
+
{
|
1156 |
+
"epoch": 0.39,
|
1157 |
+
"grad_norm": 0.25283706188201904,
|
1158 |
+
"learning_rate": 4.98843840043272e-05,
|
1159 |
+
"loss": 0.6632,
|
1160 |
+
"step": 1610
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 0.39,
|
1164 |
+
"grad_norm": 0.196313738822937,
|
1165 |
+
"learning_rate": 4.988052059715126e-05,
|
1166 |
+
"loss": 0.712,
|
1167 |
+
"step": 1620
|
1168 |
+
},
|
1169 |
+
{
|
1170 |
+
"epoch": 0.39,
|
1171 |
+
"grad_norm": 0.21621187031269073,
|
1172 |
+
"learning_rate": 4.987659385148842e-05,
|
1173 |
+
"loss": 0.6732,
|
1174 |
+
"step": 1630
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 0.4,
|
1178 |
+
"grad_norm": 0.2180820256471634,
|
1179 |
+
"learning_rate": 4.987260377733502e-05,
|
1180 |
+
"loss": 0.7045,
|
1181 |
+
"step": 1640
|
1182 |
+
},
|
1183 |
+
{
|
1184 |
+
"epoch": 0.4,
|
1185 |
+
"grad_norm": 0.20110243558883667,
|
1186 |
+
"learning_rate": 4.986855038484862e-05,
|
1187 |
+
"loss": 0.6604,
|
1188 |
+
"step": 1650
|
1189 |
+
},
|
1190 |
+
{
|
1191 |
+
"epoch": 0.4,
|
1192 |
+
"grad_norm": 0.20813095569610596,
|
1193 |
+
"learning_rate": 4.9864433684347964e-05,
|
1194 |
+
"loss": 0.7051,
|
1195 |
+
"step": 1660
|
1196 |
+
},
|
1197 |
+
{
|
1198 |
+
"epoch": 0.4,
|
1199 |
+
"grad_norm": 0.22026021778583527,
|
1200 |
+
"learning_rate": 4.9860253686312964e-05,
|
1201 |
+
"loss": 0.6752,
|
1202 |
+
"step": 1670
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 0.41,
|
1206 |
+
"grad_norm": 0.23409809172153473,
|
1207 |
+
"learning_rate": 4.9856010401384654e-05,
|
1208 |
+
"loss": 0.6805,
|
1209 |
+
"step": 1680
|
1210 |
+
},
|
1211 |
+
{
|
1212 |
+
"epoch": 0.41,
|
1213 |
+
"grad_norm": 0.1982721984386444,
|
1214 |
+
"learning_rate": 4.985170384036521e-05,
|
1215 |
+
"loss": 0.6888,
|
1216 |
+
"step": 1690
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 0.41,
|
1220 |
+
"grad_norm": 0.24984286725521088,
|
1221 |
+
"learning_rate": 4.984733401421785e-05,
|
1222 |
+
"loss": 0.6741,
|
1223 |
+
"step": 1700
|
1224 |
+
},
|
1225 |
+
{
|
1226 |
+
"epoch": 0.41,
|
1227 |
+
"grad_norm": 0.24465042352676392,
|
1228 |
+
"learning_rate": 4.9842900934066874e-05,
|
1229 |
+
"loss": 0.6781,
|
1230 |
+
"step": 1710
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 0.42,
|
1234 |
+
"grad_norm": 0.26656293869018555,
|
1235 |
+
"learning_rate": 4.98384046111976e-05,
|
1236 |
+
"loss": 0.7086,
|
1237 |
+
"step": 1720
|
1238 |
+
},
|
1239 |
+
{
|
1240 |
+
"epoch": 0.42,
|
1241 |
+
"grad_norm": 0.23073184490203857,
|
1242 |
+
"learning_rate": 4.9833845057056336e-05,
|
1243 |
+
"loss": 0.6966,
|
1244 |
+
"step": 1730
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 0.42,
|
1248 |
+
"grad_norm": 0.23296333849430084,
|
1249 |
+
"learning_rate": 4.982922228325037e-05,
|
1250 |
+
"loss": 0.6769,
|
1251 |
+
"step": 1740
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 0.42,
|
1255 |
+
"grad_norm": 0.22282017767429352,
|
1256 |
+
"learning_rate": 4.982453630154794e-05,
|
1257 |
+
"loss": 0.6581,
|
1258 |
+
"step": 1750
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 0.43,
|
1262 |
+
"grad_norm": 0.22943562269210815,
|
1263 |
+
"learning_rate": 4.981978712387815e-05,
|
1264 |
+
"loss": 0.6803,
|
1265 |
+
"step": 1760
|
1266 |
+
},
|
1267 |
+
{
|
1268 |
+
"epoch": 0.43,
|
1269 |
+
"grad_norm": 0.29295608401298523,
|
1270 |
+
"learning_rate": 4.9814974762331034e-05,
|
1271 |
+
"loss": 0.6514,
|
1272 |
+
"step": 1770
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 0.43,
|
1276 |
+
"grad_norm": 0.21845972537994385,
|
1277 |
+
"learning_rate": 4.981009922915743e-05,
|
1278 |
+
"loss": 0.691,
|
1279 |
+
"step": 1780
|
1280 |
+
},
|
1281 |
+
{
|
1282 |
+
"epoch": 0.43,
|
1283 |
+
"grad_norm": 0.24616730213165283,
|
1284 |
+
"learning_rate": 4.980516053676903e-05,
|
1285 |
+
"loss": 0.6948,
|
1286 |
+
"step": 1790
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 0.43,
|
1290 |
+
"grad_norm": 0.2354935109615326,
|
1291 |
+
"learning_rate": 4.9800158697738264e-05,
|
1292 |
+
"loss": 0.6778,
|
1293 |
+
"step": 1800
|
1294 |
+
},
|
1295 |
+
{
|
1296 |
+
"epoch": 0.44,
|
1297 |
+
"grad_norm": 0.3475668430328369,
|
1298 |
+
"learning_rate": 4.979509372479837e-05,
|
1299 |
+
"loss": 0.6626,
|
1300 |
+
"step": 1810
|
1301 |
+
},
|
1302 |
+
{
|
1303 |
+
"epoch": 0.44,
|
1304 |
+
"grad_norm": 0.2817700207233429,
|
1305 |
+
"learning_rate": 4.9789965630843265e-05,
|
1306 |
+
"loss": 0.6724,
|
1307 |
+
"step": 1820
|
1308 |
+
},
|
1309 |
+
{
|
1310 |
+
"epoch": 0.44,
|
1311 |
+
"grad_norm": 0.28306934237480164,
|
1312 |
+
"learning_rate": 4.978477442892758e-05,
|
1313 |
+
"loss": 0.6673,
|
1314 |
+
"step": 1830
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 0.44,
|
1318 |
+
"grad_norm": 0.2593139111995697,
|
1319 |
+
"learning_rate": 4.9779520132266575e-05,
|
1320 |
+
"loss": 0.6866,
|
1321 |
+
"step": 1840
|
1322 |
+
},
|
1323 |
+
{
|
1324 |
+
"epoch": 0.45,
|
1325 |
+
"grad_norm": 0.2618165612220764,
|
1326 |
+
"learning_rate": 4.9774202754236145e-05,
|
1327 |
+
"loss": 0.6671,
|
1328 |
+
"step": 1850
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 0.45,
|
1332 |
+
"grad_norm": 0.22875259816646576,
|
1333 |
+
"learning_rate": 4.9768822308372784e-05,
|
1334 |
+
"loss": 0.6743,
|
1335 |
+
"step": 1860
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 0.45,
|
1339 |
+
"grad_norm": 0.20143887400627136,
|
1340 |
+
"learning_rate": 4.976337880837351e-05,
|
1341 |
+
"loss": 0.6866,
|
1342 |
+
"step": 1870
|
1343 |
+
},
|
1344 |
+
{
|
1345 |
+
"epoch": 0.45,
|
1346 |
+
"grad_norm": 0.23163306713104248,
|
1347 |
+
"learning_rate": 4.975787226809587e-05,
|
1348 |
+
"loss": 0.6772,
|
1349 |
+
"step": 1880
|
1350 |
+
},
|
1351 |
+
{
|
1352 |
+
"epoch": 0.46,
|
1353 |
+
"grad_norm": 0.21628862619400024,
|
1354 |
+
"learning_rate": 4.975230270155791e-05,
|
1355 |
+
"loss": 0.6706,
|
1356 |
+
"step": 1890
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 0.46,
|
1360 |
+
"grad_norm": 0.21055322885513306,
|
1361 |
+
"learning_rate": 4.9746670122938105e-05,
|
1362 |
+
"loss": 0.6536,
|
1363 |
+
"step": 1900
|
1364 |
+
},
|
1365 |
+
{
|
1366 |
+
"epoch": 0.46,
|
1367 |
+
"grad_norm": 0.20045976340770721,
|
1368 |
+
"learning_rate": 4.974097454657534e-05,
|
1369 |
+
"loss": 0.6477,
|
1370 |
+
"step": 1910
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 0.46,
|
1374 |
+
"grad_norm": 0.20996223390102386,
|
1375 |
+
"learning_rate": 4.9735215986968874e-05,
|
1376 |
+
"loss": 0.6526,
|
1377 |
+
"step": 1920
|
1378 |
+
},
|
1379 |
+
{
|
1380 |
+
"epoch": 0.47,
|
1381 |
+
"grad_norm": 0.1778746396303177,
|
1382 |
+
"learning_rate": 4.972939445877831e-05,
|
1383 |
+
"loss": 0.6951,
|
1384 |
+
"step": 1930
|
1385 |
+
},
|
1386 |
+
{
|
1387 |
+
"epoch": 0.47,
|
1388 |
+
"grad_norm": 0.2416403591632843,
|
1389 |
+
"learning_rate": 4.972350997682354e-05,
|
1390 |
+
"loss": 0.6703,
|
1391 |
+
"step": 1940
|
1392 |
+
},
|
1393 |
+
{
|
1394 |
+
"epoch": 0.47,
|
1395 |
+
"grad_norm": 0.23652783036231995,
|
1396 |
+
"learning_rate": 4.9717562556084735e-05,
|
1397 |
+
"loss": 0.6401,
|
1398 |
+
"step": 1950
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 0.47,
|
1402 |
+
"grad_norm": 0.23598232865333557,
|
1403 |
+
"learning_rate": 4.9711552211702274e-05,
|
1404 |
+
"loss": 0.6668,
|
1405 |
+
"step": 1960
|
1406 |
+
},
|
1407 |
+
{
|
1408 |
+
"epoch": 0.48,
|
1409 |
+
"grad_norm": 0.22741574048995972,
|
1410 |
+
"learning_rate": 4.970547895897672e-05,
|
1411 |
+
"loss": 0.6765,
|
1412 |
+
"step": 1970
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 0.48,
|
1416 |
+
"grad_norm": 0.20418991148471832,
|
1417 |
+
"learning_rate": 4.96993428133688e-05,
|
1418 |
+
"loss": 0.6771,
|
1419 |
+
"step": 1980
|
1420 |
+
},
|
1421 |
+
{
|
1422 |
+
"epoch": 0.48,
|
1423 |
+
"grad_norm": 0.24983160197734833,
|
1424 |
+
"learning_rate": 4.969314379049932e-05,
|
1425 |
+
"loss": 0.6656,
|
1426 |
+
"step": 1990
|
1427 |
+
},
|
1428 |
+
{
|
1429 |
+
"epoch": 0.48,
|
1430 |
+
"grad_norm": 0.2511340379714966,
|
1431 |
+
"learning_rate": 4.968688190614919e-05,
|
1432 |
+
"loss": 0.6605,
|
1433 |
+
"step": 2000
|
1434 |
+
},
|
1435 |
+
{
|
1436 |
+
"epoch": 0.48,
|
1437 |
+
"eval_loss": 0.6730201244354248,
|
1438 |
+
"eval_runtime": 67.2807,
|
1439 |
+
"eval_samples_per_second": 29.726,
|
1440 |
+
"eval_steps_per_second": 0.936,
|
1441 |
+
"step": 2000
|
1442 |
+
},
|
1443 |
+
{
|
1444 |
+
"epoch": 0.49,
|
1445 |
+
"grad_norm": 0.22646427154541016,
|
1446 |
+
"learning_rate": 4.96805571762593e-05,
|
1447 |
+
"loss": 0.6729,
|
1448 |
+
"step": 2010
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 0.49,
|
1452 |
+
"grad_norm": 0.2343759387731552,
|
1453 |
+
"learning_rate": 4.9674169616930574e-05,
|
1454 |
+
"loss": 0.6635,
|
1455 |
+
"step": 2020
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 0.49,
|
1459 |
+
"grad_norm": 0.23573775589466095,
|
1460 |
+
"learning_rate": 4.966771924442385e-05,
|
1461 |
+
"loss": 0.654,
|
1462 |
+
"step": 2030
|
1463 |
+
},
|
1464 |
+
{
|
1465 |
+
"epoch": 0.49,
|
1466 |
+
"grad_norm": 0.2696162760257721,
|
1467 |
+
"learning_rate": 4.966120607515987e-05,
|
1468 |
+
"loss": 0.6728,
|
1469 |
+
"step": 2040
|
1470 |
+
},
|
1471 |
+
{
|
1472 |
+
"epoch": 0.5,
|
1473 |
+
"grad_norm": 0.25032511353492737,
|
1474 |
+
"learning_rate": 4.965463012571927e-05,
|
1475 |
+
"loss": 0.6743,
|
1476 |
+
"step": 2050
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 0.5,
|
1480 |
+
"grad_norm": 0.24621817469596863,
|
1481 |
+
"learning_rate": 4.964799141284247e-05,
|
1482 |
+
"loss": 0.6596,
|
1483 |
+
"step": 2060
|
1484 |
+
},
|
1485 |
+
{
|
1486 |
+
"epoch": 0.5,
|
1487 |
+
"grad_norm": 0.23296469449996948,
|
1488 |
+
"learning_rate": 4.964128995342966e-05,
|
1489 |
+
"loss": 0.6471,
|
1490 |
+
"step": 2070
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 0.5,
|
1494 |
+
"grad_norm": 0.22769325971603394,
|
1495 |
+
"learning_rate": 4.963452576454082e-05,
|
1496 |
+
"loss": 0.6499,
|
1497 |
+
"step": 2080
|
1498 |
+
},
|
1499 |
+
{
|
1500 |
+
"epoch": 0.51,
|
1501 |
+
"grad_norm": 0.2572191655635834,
|
1502 |
+
"learning_rate": 4.9627698863395564e-05,
|
1503 |
+
"loss": 0.6499,
|
1504 |
+
"step": 2090
|
1505 |
+
},
|
1506 |
+
{
|
1507 |
+
"epoch": 0.51,
|
1508 |
+
"grad_norm": 0.21782545745372772,
|
1509 |
+
"learning_rate": 4.962080926737319e-05,
|
1510 |
+
"loss": 0.6641,
|
1511 |
+
"step": 2100
|
1512 |
+
},
|
1513 |
+
{
|
1514 |
+
"epoch": 0.51,
|
1515 |
+
"grad_norm": 0.22925855219364166,
|
1516 |
+
"learning_rate": 4.9613856994012567e-05,
|
1517 |
+
"loss": 0.6618,
|
1518 |
+
"step": 2110
|
1519 |
+
},
|
1520 |
+
{
|
1521 |
+
"epoch": 0.51,
|
1522 |
+
"grad_norm": 0.2127605825662613,
|
1523 |
+
"learning_rate": 4.960684206101214e-05,
|
1524 |
+
"loss": 0.6821,
|
1525 |
+
"step": 2120
|
1526 |
+
},
|
1527 |
+
{
|
1528 |
+
"epoch": 0.51,
|
1529 |
+
"grad_norm": 0.2520267069339752,
|
1530 |
+
"learning_rate": 4.9599764486229865e-05,
|
1531 |
+
"loss": 0.6748,
|
1532 |
+
"step": 2130
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 0.52,
|
1536 |
+
"grad_norm": 0.20282019674777985,
|
1537 |
+
"learning_rate": 4.9592624287683176e-05,
|
1538 |
+
"loss": 0.6674,
|
1539 |
+
"step": 2140
|
1540 |
+
},
|
1541 |
+
{
|
1542 |
+
"epoch": 0.52,
|
1543 |
+
"grad_norm": 0.46226009726524353,
|
1544 |
+
"learning_rate": 4.958542148354891e-05,
|
1545 |
+
"loss": 0.6422,
|
1546 |
+
"step": 2150
|
1547 |
+
},
|
1548 |
+
{
|
1549 |
+
"epoch": 0.52,
|
1550 |
+
"grad_norm": 0.2241724133491516,
|
1551 |
+
"learning_rate": 4.957815609216329e-05,
|
1552 |
+
"loss": 0.6612,
|
1553 |
+
"step": 2160
|
1554 |
+
},
|
1555 |
+
{
|
1556 |
+
"epoch": 0.52,
|
1557 |
+
"grad_norm": 0.23772084712982178,
|
1558 |
+
"learning_rate": 4.957082813202186e-05,
|
1559 |
+
"loss": 0.6614,
|
1560 |
+
"step": 2170
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 0.53,
|
1564 |
+
"grad_norm": 0.2049807757139206,
|
1565 |
+
"learning_rate": 4.9563437621779465e-05,
|
1566 |
+
"loss": 0.6827,
|
1567 |
+
"step": 2180
|
1568 |
+
},
|
1569 |
+
{
|
1570 |
+
"epoch": 0.53,
|
1571 |
+
"grad_norm": 0.22666208446025848,
|
1572 |
+
"learning_rate": 4.955598458025015e-05,
|
1573 |
+
"loss": 0.6522,
|
1574 |
+
"step": 2190
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 0.53,
|
1578 |
+
"grad_norm": 0.26957106590270996,
|
1579 |
+
"learning_rate": 4.954846902640718e-05,
|
1580 |
+
"loss": 0.6817,
|
1581 |
+
"step": 2200
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 0.53,
|
1585 |
+
"grad_norm": 0.22548554837703705,
|
1586 |
+
"learning_rate": 4.954089097938294e-05,
|
1587 |
+
"loss": 0.6444,
|
1588 |
+
"step": 2210
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 0.54,
|
1592 |
+
"grad_norm": 0.22197945415973663,
|
1593 |
+
"learning_rate": 4.9533250458468914e-05,
|
1594 |
+
"loss": 0.6779,
|
1595 |
+
"step": 2220
|
1596 |
+
},
|
1597 |
+
{
|
1598 |
+
"epoch": 0.54,
|
1599 |
+
"grad_norm": 0.22711919248104095,
|
1600 |
+
"learning_rate": 4.9525547483115617e-05,
|
1601 |
+
"loss": 0.6416,
|
1602 |
+
"step": 2230
|
1603 |
+
},
|
1604 |
+
{
|
1605 |
+
"epoch": 0.54,
|
1606 |
+
"grad_norm": 0.22576060891151428,
|
1607 |
+
"learning_rate": 4.951778207293255e-05,
|
1608 |
+
"loss": 0.6598,
|
1609 |
+
"step": 2240
|
1610 |
+
},
|
1611 |
+
{
|
1612 |
+
"epoch": 0.54,
|
1613 |
+
"grad_norm": 0.22785042226314545,
|
1614 |
+
"learning_rate": 4.950995424768818e-05,
|
1615 |
+
"loss": 0.6499,
|
1616 |
+
"step": 2250
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 0.55,
|
1620 |
+
"grad_norm": 0.20107567310333252,
|
1621 |
+
"learning_rate": 4.9502064027309836e-05,
|
1622 |
+
"loss": 0.6509,
|
1623 |
+
"step": 2260
|
1624 |
+
},
|
1625 |
+
{
|
1626 |
+
"epoch": 0.55,
|
1627 |
+
"grad_norm": 0.23379752039909363,
|
1628 |
+
"learning_rate": 4.94941114318837e-05,
|
1629 |
+
"loss": 0.6551,
|
1630 |
+
"step": 2270
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 0.55,
|
1634 |
+
"grad_norm": 0.22154928743839264,
|
1635 |
+
"learning_rate": 4.948609648165475e-05,
|
1636 |
+
"loss": 0.6428,
|
1637 |
+
"step": 2280
|
1638 |
+
},
|
1639 |
+
{
|
1640 |
+
"epoch": 0.55,
|
1641 |
+
"grad_norm": 0.23805582523345947,
|
1642 |
+
"learning_rate": 4.947801919702667e-05,
|
1643 |
+
"loss": 0.6633,
|
1644 |
+
"step": 2290
|
1645 |
+
},
|
1646 |
+
{
|
1647 |
+
"epoch": 0.56,
|
1648 |
+
"grad_norm": 0.24756357073783875,
|
1649 |
+
"learning_rate": 4.946987959856188e-05,
|
1650 |
+
"loss": 0.6561,
|
1651 |
+
"step": 2300
|
1652 |
+
},
|
1653 |
+
{
|
1654 |
+
"epoch": 0.56,
|
1655 |
+
"grad_norm": 0.23767632246017456,
|
1656 |
+
"learning_rate": 4.9461677706981374e-05,
|
1657 |
+
"loss": 0.6552,
|
1658 |
+
"step": 2310
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 0.56,
|
1662 |
+
"grad_norm": 0.32177987694740295,
|
1663 |
+
"learning_rate": 4.9453413543164775e-05,
|
1664 |
+
"loss": 0.6705,
|
1665 |
+
"step": 2320
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 0.56,
|
1669 |
+
"grad_norm": 0.29961881041526794,
|
1670 |
+
"learning_rate": 4.94450871281502e-05,
|
1671 |
+
"loss": 0.6551,
|
1672 |
+
"step": 2330
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 0.57,
|
1676 |
+
"grad_norm": 0.2768830955028534,
|
1677 |
+
"learning_rate": 4.943669848313427e-05,
|
1678 |
+
"loss": 0.6468,
|
1679 |
+
"step": 2340
|
1680 |
+
},
|
1681 |
+
{
|
1682 |
+
"epoch": 0.57,
|
1683 |
+
"grad_norm": 0.24728989601135254,
|
1684 |
+
"learning_rate": 4.9428247629472e-05,
|
1685 |
+
"loss": 0.6506,
|
1686 |
+
"step": 2350
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 0.57,
|
1690 |
+
"grad_norm": 0.2641989290714264,
|
1691 |
+
"learning_rate": 4.941973458867677e-05,
|
1692 |
+
"loss": 0.6517,
|
1693 |
+
"step": 2360
|
1694 |
+
},
|
1695 |
+
{
|
1696 |
+
"epoch": 0.57,
|
1697 |
+
"grad_norm": 0.18787774443626404,
|
1698 |
+
"learning_rate": 4.941115938242028e-05,
|
1699 |
+
"loss": 0.6355,
|
1700 |
+
"step": 2370
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 0.58,
|
1704 |
+
"grad_norm": 0.26642099022865295,
|
1705 |
+
"learning_rate": 4.940252203253248e-05,
|
1706 |
+
"loss": 0.6811,
|
1707 |
+
"step": 2380
|
1708 |
+
},
|
1709 |
+
{
|
1710 |
+
"epoch": 0.58,
|
1711 |
+
"grad_norm": 0.24736198782920837,
|
1712 |
+
"learning_rate": 4.939382256100154e-05,
|
1713 |
+
"loss": 0.6493,
|
1714 |
+
"step": 2390
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 0.58,
|
1718 |
+
"grad_norm": 0.3060832619667053,
|
1719 |
+
"learning_rate": 4.938506098997374e-05,
|
1720 |
+
"loss": 0.6707,
|
1721 |
+
"step": 2400
|
1722 |
+
},
|
1723 |
+
{
|
1724 |
+
"epoch": 0.58,
|
1725 |
+
"grad_norm": 0.24164025485515594,
|
1726 |
+
"learning_rate": 4.937623734175346e-05,
|
1727 |
+
"loss": 0.6508,
|
1728 |
+
"step": 2410
|
1729 |
+
},
|
1730 |
+
{
|
1731 |
+
"epoch": 0.58,
|
1732 |
+
"grad_norm": 0.26685982942581177,
|
1733 |
+
"learning_rate": 4.936735163880313e-05,
|
1734 |
+
"loss": 0.6441,
|
1735 |
+
"step": 2420
|
1736 |
+
},
|
1737 |
+
{
|
1738 |
+
"epoch": 0.59,
|
1739 |
+
"grad_norm": 0.17739726603031158,
|
1740 |
+
"learning_rate": 4.9358403903743124e-05,
|
1741 |
+
"loss": 0.6499,
|
1742 |
+
"step": 2430
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 0.59,
|
1746 |
+
"grad_norm": 0.23560577630996704,
|
1747 |
+
"learning_rate": 4.9349394159351735e-05,
|
1748 |
+
"loss": 0.645,
|
1749 |
+
"step": 2440
|
1750 |
+
},
|
1751 |
+
{
|
1752 |
+
"epoch": 0.59,
|
1753 |
+
"grad_norm": 0.23137669265270233,
|
1754 |
+
"learning_rate": 4.9340322428565135e-05,
|
1755 |
+
"loss": 0.6615,
|
1756 |
+
"step": 2450
|
1757 |
+
},
|
1758 |
+
{
|
1759 |
+
"epoch": 0.59,
|
1760 |
+
"grad_norm": 0.3485463857650757,
|
1761 |
+
"learning_rate": 4.933118873447728e-05,
|
1762 |
+
"loss": 0.6283,
|
1763 |
+
"step": 2460
|
1764 |
+
},
|
1765 |
+
{
|
1766 |
+
"epoch": 0.6,
|
1767 |
+
"grad_norm": 0.20602945983409882,
|
1768 |
+
"learning_rate": 4.932199310033987e-05,
|
1769 |
+
"loss": 0.6831,
|
1770 |
+
"step": 2470
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 0.6,
|
1774 |
+
"grad_norm": 0.21541930735111237,
|
1775 |
+
"learning_rate": 4.931273554956227e-05,
|
1776 |
+
"loss": 0.6722,
|
1777 |
+
"step": 2480
|
1778 |
+
},
|
1779 |
+
{
|
1780 |
+
"epoch": 0.6,
|
1781 |
+
"grad_norm": 0.2092689573764801,
|
1782 |
+
"learning_rate": 4.930341610571151e-05,
|
1783 |
+
"loss": 0.6609,
|
1784 |
+
"step": 2490
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 0.6,
|
1788 |
+
"grad_norm": 0.23792122304439545,
|
1789 |
+
"learning_rate": 4.9294034792512126e-05,
|
1790 |
+
"loss": 0.6475,
|
1791 |
+
"step": 2500
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 0.6,
|
1795 |
+
"eval_loss": 0.6643247008323669,
|
1796 |
+
"eval_runtime": 67.0911,
|
1797 |
+
"eval_samples_per_second": 29.81,
|
1798 |
+
"eval_steps_per_second": 0.939,
|
1799 |
+
"step": 2500
|
1800 |
+
},
|
1801 |
+
{
|
1802 |
+
"epoch": 0.61,
|
1803 |
+
"grad_norm": 0.2101823091506958,
|
1804 |
+
"learning_rate": 4.928459163384619e-05,
|
1805 |
+
"loss": 0.6604,
|
1806 |
+
"step": 2510
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 0.61,
|
1810 |
+
"grad_norm": 0.1859540194272995,
|
1811 |
+
"learning_rate": 4.927508665375321e-05,
|
1812 |
+
"loss": 0.6252,
|
1813 |
+
"step": 2520
|
1814 |
+
},
|
1815 |
+
{
|
1816 |
+
"epoch": 0.61,
|
1817 |
+
"grad_norm": 0.2371070235967636,
|
1818 |
+
"learning_rate": 4.926551987643007e-05,
|
1819 |
+
"loss": 0.6413,
|
1820 |
+
"step": 2530
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 0.61,
|
1824 |
+
"grad_norm": 0.2149161994457245,
|
1825 |
+
"learning_rate": 4.9255891326230964e-05,
|
1826 |
+
"loss": 0.6558,
|
1827 |
+
"step": 2540
|
1828 |
+
},
|
1829 |
+
{
|
1830 |
+
"epoch": 0.62,
|
1831 |
+
"grad_norm": 0.21805475652217865,
|
1832 |
+
"learning_rate": 4.9246201027667354e-05,
|
1833 |
+
"loss": 0.631,
|
1834 |
+
"step": 2550
|
1835 |
+
},
|
1836 |
+
{
|
1837 |
+
"epoch": 0.62,
|
1838 |
+
"grad_norm": 0.22705689072608948,
|
1839 |
+
"learning_rate": 4.9236449005407895e-05,
|
1840 |
+
"loss": 0.6785,
|
1841 |
+
"step": 2560
|
1842 |
+
},
|
1843 |
+
{
|
1844 |
+
"epoch": 0.62,
|
1845 |
+
"grad_norm": 0.21902668476104736,
|
1846 |
+
"learning_rate": 4.9226635284278355e-05,
|
1847 |
+
"loss": 0.657,
|
1848 |
+
"step": 2570
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 0.62,
|
1852 |
+
"grad_norm": 0.21482336521148682,
|
1853 |
+
"learning_rate": 4.9216759889261586e-05,
|
1854 |
+
"loss": 0.6514,
|
1855 |
+
"step": 2580
|
1856 |
+
},
|
1857 |
+
{
|
1858 |
+
"epoch": 0.63,
|
1859 |
+
"grad_norm": 0.20008622109889984,
|
1860 |
+
"learning_rate": 4.9206822845497444e-05,
|
1861 |
+
"loss": 0.6516,
|
1862 |
+
"step": 2590
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 0.63,
|
1866 |
+
"grad_norm": 0.205527663230896,
|
1867 |
+
"learning_rate": 4.919682417828271e-05,
|
1868 |
+
"loss": 0.6336,
|
1869 |
+
"step": 2600
|
1870 |
+
},
|
1871 |
+
{
|
1872 |
+
"epoch": 0.63,
|
1873 |
+
"grad_norm": 0.263959139585495,
|
1874 |
+
"learning_rate": 4.9186763913071065e-05,
|
1875 |
+
"loss": 0.6449,
|
1876 |
+
"step": 2610
|
1877 |
+
},
|
1878 |
+
{
|
1879 |
+
"epoch": 0.63,
|
1880 |
+
"grad_norm": 0.21950668096542358,
|
1881 |
+
"learning_rate": 4.917664207547297e-05,
|
1882 |
+
"loss": 0.6916,
|
1883 |
+
"step": 2620
|
1884 |
+
},
|
1885 |
+
{
|
1886 |
+
"epoch": 0.64,
|
1887 |
+
"grad_norm": 0.215659499168396,
|
1888 |
+
"learning_rate": 4.916645869125564e-05,
|
1889 |
+
"loss": 0.6441,
|
1890 |
+
"step": 2630
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 0.64,
|
1894 |
+
"grad_norm": 0.22789780795574188,
|
1895 |
+
"learning_rate": 4.915621378634301e-05,
|
1896 |
+
"loss": 0.6576,
|
1897 |
+
"step": 2640
|
1898 |
+
},
|
1899 |
+
{
|
1900 |
+
"epoch": 0.64,
|
1901 |
+
"grad_norm": 0.27431604266166687,
|
1902 |
+
"learning_rate": 4.914590738681555e-05,
|
1903 |
+
"loss": 0.6487,
|
1904 |
+
"step": 2650
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 0.64,
|
1908 |
+
"grad_norm": 0.21077977120876312,
|
1909 |
+
"learning_rate": 4.913553951891036e-05,
|
1910 |
+
"loss": 0.6688,
|
1911 |
+
"step": 2660
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 0.65,
|
1915 |
+
"grad_norm": 0.2798519730567932,
|
1916 |
+
"learning_rate": 4.9125110209020954e-05,
|
1917 |
+
"loss": 0.6618,
|
1918 |
+
"step": 2670
|
1919 |
+
},
|
1920 |
+
{
|
1921 |
+
"epoch": 0.65,
|
1922 |
+
"grad_norm": 0.24790987372398376,
|
1923 |
+
"learning_rate": 4.911461948369731e-05,
|
1924 |
+
"loss": 0.6598,
|
1925 |
+
"step": 2680
|
1926 |
+
},
|
1927 |
+
{
|
1928 |
+
"epoch": 0.65,
|
1929 |
+
"grad_norm": 0.2008027732372284,
|
1930 |
+
"learning_rate": 4.91040673696457e-05,
|
1931 |
+
"loss": 0.6388,
|
1932 |
+
"step": 2690
|
1933 |
+
},
|
1934 |
+
{
|
1935 |
+
"epoch": 0.65,
|
1936 |
+
"grad_norm": 0.23889446258544922,
|
1937 |
+
"learning_rate": 4.9093453893728733e-05,
|
1938 |
+
"loss": 0.6526,
|
1939 |
+
"step": 2700
|
1940 |
+
},
|
1941 |
+
{
|
1942 |
+
"epoch": 0.65,
|
1943 |
+
"grad_norm": 0.1997964233160019,
|
1944 |
+
"learning_rate": 4.908277908296518e-05,
|
1945 |
+
"loss": 0.6521,
|
1946 |
+
"step": 2710
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 0.66,
|
1950 |
+
"grad_norm": 0.24335375428199768,
|
1951 |
+
"learning_rate": 4.907204296452997e-05,
|
1952 |
+
"loss": 0.6636,
|
1953 |
+
"step": 2720
|
1954 |
+
},
|
1955 |
+
{
|
1956 |
+
"epoch": 0.66,
|
1957 |
+
"grad_norm": 0.23431982100009918,
|
1958 |
+
"learning_rate": 4.906124556575411e-05,
|
1959 |
+
"loss": 0.6557,
|
1960 |
+
"step": 2730
|
1961 |
+
},
|
1962 |
+
{
|
1963 |
+
"epoch": 0.66,
|
1964 |
+
"grad_norm": 0.21532365679740906,
|
1965 |
+
"learning_rate": 4.90503869141246e-05,
|
1966 |
+
"loss": 0.628,
|
1967 |
+
"step": 2740
|
1968 |
+
},
|
1969 |
+
{
|
1970 |
+
"epoch": 0.66,
|
1971 |
+
"grad_norm": 0.22962962090969086,
|
1972 |
+
"learning_rate": 4.903946703728436e-05,
|
1973 |
+
"loss": 0.6422,
|
1974 |
+
"step": 2750
|
1975 |
+
},
|
1976 |
+
{
|
1977 |
+
"epoch": 0.67,
|
1978 |
+
"grad_norm": 0.22807002067565918,
|
1979 |
+
"learning_rate": 4.90284859630322e-05,
|
1980 |
+
"loss": 0.6631,
|
1981 |
+
"step": 2760
|
1982 |
+
},
|
1983 |
+
{
|
1984 |
+
"epoch": 0.67,
|
1985 |
+
"grad_norm": 0.27668192982673645,
|
1986 |
+
"learning_rate": 4.90174437193227e-05,
|
1987 |
+
"loss": 0.6778,
|
1988 |
+
"step": 2770
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 0.67,
|
1992 |
+
"grad_norm": 0.2503020763397217,
|
1993 |
+
"learning_rate": 4.900634033426616e-05,
|
1994 |
+
"loss": 0.6483,
|
1995 |
+
"step": 2780
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 0.67,
|
1999 |
+
"grad_norm": 0.3033277094364166,
|
2000 |
+
"learning_rate": 4.8995175836128536e-05,
|
2001 |
+
"loss": 0.6572,
|
2002 |
+
"step": 2790
|
2003 |
+
},
|
2004 |
+
{
|
2005 |
+
"epoch": 0.68,
|
2006 |
+
"grad_norm": 0.2776722311973572,
|
2007 |
+
"learning_rate": 4.898395025333136e-05,
|
2008 |
+
"loss": 0.662,
|
2009 |
+
"step": 2800
|
2010 |
+
},
|
2011 |
+
{
|
2012 |
+
"epoch": 0.68,
|
2013 |
+
"grad_norm": 0.31251537799835205,
|
2014 |
+
"learning_rate": 4.897266361445165e-05,
|
2015 |
+
"loss": 0.6617,
|
2016 |
+
"step": 2810
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 0.68,
|
2020 |
+
"grad_norm": 0.38570669293403625,
|
2021 |
+
"learning_rate": 4.8961315948221884e-05,
|
2022 |
+
"loss": 0.6419,
|
2023 |
+
"step": 2820
|
2024 |
+
},
|
2025 |
+
{
|
2026 |
+
"epoch": 0.68,
|
2027 |
+
"grad_norm": 0.23277431726455688,
|
2028 |
+
"learning_rate": 4.894990728352988e-05,
|
2029 |
+
"loss": 0.6373,
|
2030 |
+
"step": 2830
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 0.69,
|
2034 |
+
"grad_norm": 0.2519891858100891,
|
2035 |
+
"learning_rate": 4.893843764941874e-05,
|
2036 |
+
"loss": 0.6759,
|
2037 |
+
"step": 2840
|
2038 |
+
},
|
2039 |
+
{
|
2040 |
+
"epoch": 0.69,
|
2041 |
+
"grad_norm": 0.2358052134513855,
|
2042 |
+
"learning_rate": 4.892690707508677e-05,
|
2043 |
+
"loss": 0.6826,
|
2044 |
+
"step": 2850
|
2045 |
+
},
|
2046 |
+
{
|
2047 |
+
"epoch": 0.69,
|
2048 |
+
"grad_norm": 0.23103272914886475,
|
2049 |
+
"learning_rate": 4.8915315589887436e-05,
|
2050 |
+
"loss": 0.624,
|
2051 |
+
"step": 2860
|
2052 |
+
},
|
2053 |
+
{
|
2054 |
+
"epoch": 0.69,
|
2055 |
+
"grad_norm": 0.2128864973783493,
|
2056 |
+
"learning_rate": 4.8903663223329245e-05,
|
2057 |
+
"loss": 0.654,
|
2058 |
+
"step": 2870
|
2059 |
+
},
|
2060 |
+
{
|
2061 |
+
"epoch": 0.7,
|
2062 |
+
"grad_norm": 0.22060807049274445,
|
2063 |
+
"learning_rate": 4.889195000507568e-05,
|
2064 |
+
"loss": 0.6376,
|
2065 |
+
"step": 2880
|
2066 |
+
},
|
2067 |
+
{
|
2068 |
+
"epoch": 0.7,
|
2069 |
+
"grad_norm": 0.24493062496185303,
|
2070 |
+
"learning_rate": 4.888017596494517e-05,
|
2071 |
+
"loss": 0.6648,
|
2072 |
+
"step": 2890
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 0.7,
|
2076 |
+
"grad_norm": 0.2580796480178833,
|
2077 |
+
"learning_rate": 4.886834113291094e-05,
|
2078 |
+
"loss": 0.6607,
|
2079 |
+
"step": 2900
|
2080 |
+
},
|
2081 |
+
{
|
2082 |
+
"epoch": 0.7,
|
2083 |
+
"grad_norm": 0.26906147599220276,
|
2084 |
+
"learning_rate": 4.8856445539101016e-05,
|
2085 |
+
"loss": 0.6441,
|
2086 |
+
"step": 2910
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 0.71,
|
2090 |
+
"grad_norm": 0.2145451009273529,
|
2091 |
+
"learning_rate": 4.884448921379805e-05,
|
2092 |
+
"loss": 0.6543,
|
2093 |
+
"step": 2920
|
2094 |
+
},
|
2095 |
+
{
|
2096 |
+
"epoch": 0.71,
|
2097 |
+
"grad_norm": 0.2156788855791092,
|
2098 |
+
"learning_rate": 4.8832472187439345e-05,
|
2099 |
+
"loss": 0.6185,
|
2100 |
+
"step": 2930
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 0.71,
|
2104 |
+
"grad_norm": 0.25632360577583313,
|
2105 |
+
"learning_rate": 4.882039449061673e-05,
|
2106 |
+
"loss": 0.639,
|
2107 |
+
"step": 2940
|
2108 |
+
},
|
2109 |
+
{
|
2110 |
+
"epoch": 0.71,
|
2111 |
+
"grad_norm": 0.2496800720691681,
|
2112 |
+
"learning_rate": 4.8808256154076436e-05,
|
2113 |
+
"loss": 0.6377,
|
2114 |
+
"step": 2950
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 0.72,
|
2118 |
+
"grad_norm": 0.39942485094070435,
|
2119 |
+
"learning_rate": 4.8796057208719124e-05,
|
2120 |
+
"loss": 0.6083,
|
2121 |
+
"step": 2960
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 0.72,
|
2125 |
+
"grad_norm": 0.27986374497413635,
|
2126 |
+
"learning_rate": 4.8783797685599706e-05,
|
2127 |
+
"loss": 0.6528,
|
2128 |
+
"step": 2970
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 0.72,
|
2132 |
+
"grad_norm": 0.22164517641067505,
|
2133 |
+
"learning_rate": 4.877147761592733e-05,
|
2134 |
+
"loss": 0.6456,
|
2135 |
+
"step": 2980
|
2136 |
+
},
|
2137 |
+
{
|
2138 |
+
"epoch": 0.72,
|
2139 |
+
"grad_norm": 0.29858505725860596,
|
2140 |
+
"learning_rate": 4.875909703106527e-05,
|
2141 |
+
"loss": 0.643,
|
2142 |
+
"step": 2990
|
2143 |
+
},
|
2144 |
+
{
|
2145 |
+
"epoch": 0.72,
|
2146 |
+
"grad_norm": 0.22595979273319244,
|
2147 |
+
"learning_rate": 4.874665596253084e-05,
|
2148 |
+
"loss": 0.6419,
|
2149 |
+
"step": 3000
|
2150 |
+
},
|
2151 |
+
{
|
2152 |
+
"epoch": 0.72,
|
2153 |
+
"eval_loss": 0.6583871841430664,
|
2154 |
+
"eval_runtime": 67.1961,
|
2155 |
+
"eval_samples_per_second": 29.764,
|
2156 |
+
"eval_steps_per_second": 0.938,
|
2157 |
+
"step": 3000
|
2158 |
+
},
|
2159 |
+
{
|
2160 |
+
"epoch": 0.73,
|
2161 |
+
"grad_norm": 0.19871610403060913,
|
2162 |
+
"learning_rate": 4.8734154441995364e-05,
|
2163 |
+
"loss": 0.6556,
|
2164 |
+
"step": 3010
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 0.73,
|
2168 |
+
"grad_norm": 0.2072724997997284,
|
2169 |
+
"learning_rate": 4.872159250128401e-05,
|
2170 |
+
"loss": 0.6764,
|
2171 |
+
"step": 3020
|
2172 |
+
},
|
2173 |
+
{
|
2174 |
+
"epoch": 0.73,
|
2175 |
+
"grad_norm": 0.22515198588371277,
|
2176 |
+
"learning_rate": 4.87089701723758e-05,
|
2177 |
+
"loss": 0.6703,
|
2178 |
+
"step": 3030
|
2179 |
+
},
|
2180 |
+
{
|
2181 |
+
"epoch": 0.73,
|
2182 |
+
"grad_norm": 0.2292303442955017,
|
2183 |
+
"learning_rate": 4.869628748740347e-05,
|
2184 |
+
"loss": 0.6288,
|
2185 |
+
"step": 3040
|
2186 |
+
},
|
2187 |
+
{
|
2188 |
+
"epoch": 0.74,
|
2189 |
+
"grad_norm": 0.25133493542671204,
|
2190 |
+
"learning_rate": 4.8683544478653395e-05,
|
2191 |
+
"loss": 0.6652,
|
2192 |
+
"step": 3050
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 0.74,
|
2196 |
+
"grad_norm": 0.29863354563713074,
|
2197 |
+
"learning_rate": 4.867074117856555e-05,
|
2198 |
+
"loss": 0.6352,
|
2199 |
+
"step": 3060
|
2200 |
+
},
|
2201 |
+
{
|
2202 |
+
"epoch": 0.74,
|
2203 |
+
"grad_norm": 0.2168973684310913,
|
2204 |
+
"learning_rate": 4.865787761973334e-05,
|
2205 |
+
"loss": 0.6562,
|
2206 |
+
"step": 3070
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 0.74,
|
2210 |
+
"grad_norm": 0.2312694936990738,
|
2211 |
+
"learning_rate": 4.864495383490363e-05,
|
2212 |
+
"loss": 0.6463,
|
2213 |
+
"step": 3080
|
2214 |
+
},
|
2215 |
+
{
|
2216 |
+
"epoch": 0.75,
|
2217 |
+
"grad_norm": 0.2333671748638153,
|
2218 |
+
"learning_rate": 4.863196985697655e-05,
|
2219 |
+
"loss": 0.6267,
|
2220 |
+
"step": 3090
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 0.75,
|
2224 |
+
"grad_norm": 0.23559433221817017,
|
2225 |
+
"learning_rate": 4.86189257190055e-05,
|
2226 |
+
"loss": 0.623,
|
2227 |
+
"step": 3100
|
2228 |
+
},
|
2229 |
+
{
|
2230 |
+
"epoch": 0.75,
|
2231 |
+
"grad_norm": 0.22314316034317017,
|
2232 |
+
"learning_rate": 4.860582145419703e-05,
|
2233 |
+
"loss": 0.6298,
|
2234 |
+
"step": 3110
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 0.75,
|
2238 |
+
"grad_norm": 0.22701682150363922,
|
2239 |
+
"learning_rate": 4.859265709591073e-05,
|
2240 |
+
"loss": 0.6359,
|
2241 |
+
"step": 3120
|
2242 |
+
},
|
2243 |
+
{
|
2244 |
+
"epoch": 0.76,
|
2245 |
+
"grad_norm": 0.21683742105960846,
|
2246 |
+
"learning_rate": 4.857943267765919e-05,
|
2247 |
+
"loss": 0.6666,
|
2248 |
+
"step": 3130
|
2249 |
+
},
|
2250 |
+
{
|
2251 |
+
"epoch": 0.76,
|
2252 |
+
"grad_norm": 0.2519407272338867,
|
2253 |
+
"learning_rate": 4.856614823310788e-05,
|
2254 |
+
"loss": 0.6731,
|
2255 |
+
"step": 3140
|
2256 |
+
},
|
2257 |
+
{
|
2258 |
+
"epoch": 0.76,
|
2259 |
+
"grad_norm": 0.23536355793476105,
|
2260 |
+
"learning_rate": 4.855280379607509e-05,
|
2261 |
+
"loss": 0.629,
|
2262 |
+
"step": 3150
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 0.76,
|
2266 |
+
"grad_norm": 0.19676193594932556,
|
2267 |
+
"learning_rate": 4.853939940053184e-05,
|
2268 |
+
"loss": 0.6329,
|
2269 |
+
"step": 3160
|
2270 |
+
},
|
2271 |
+
{
|
2272 |
+
"epoch": 0.77,
|
2273 |
+
"grad_norm": 0.23497731983661652,
|
2274 |
+
"learning_rate": 4.852593508060177e-05,
|
2275 |
+
"loss": 0.6584,
|
2276 |
+
"step": 3170
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 0.77,
|
2280 |
+
"grad_norm": 0.2515724003314972,
|
2281 |
+
"learning_rate": 4.8512410870561084e-05,
|
2282 |
+
"loss": 0.6177,
|
2283 |
+
"step": 3180
|
2284 |
+
},
|
2285 |
+
{
|
2286 |
+
"epoch": 0.77,
|
2287 |
+
"grad_norm": 0.20130635797977448,
|
2288 |
+
"learning_rate": 4.8498826804838436e-05,
|
2289 |
+
"loss": 0.6645,
|
2290 |
+
"step": 3190
|
2291 |
+
},
|
2292 |
+
{
|
2293 |
+
"epoch": 0.77,
|
2294 |
+
"grad_norm": 0.23828361928462982,
|
2295 |
+
"learning_rate": 4.8485182918014876e-05,
|
2296 |
+
"loss": 0.6401,
|
2297 |
+
"step": 3200
|
2298 |
+
},
|
2299 |
+
{
|
2300 |
+
"epoch": 0.78,
|
2301 |
+
"grad_norm": 0.2598424255847931,
|
2302 |
+
"learning_rate": 4.847147924482371e-05,
|
2303 |
+
"loss": 0.6193,
|
2304 |
+
"step": 3210
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 0.78,
|
2308 |
+
"grad_norm": 0.20697768032550812,
|
2309 |
+
"learning_rate": 4.845771582015046e-05,
|
2310 |
+
"loss": 0.626,
|
2311 |
+
"step": 3220
|
2312 |
+
},
|
2313 |
+
{
|
2314 |
+
"epoch": 0.78,
|
2315 |
+
"grad_norm": 0.19661648571491241,
|
2316 |
+
"learning_rate": 4.8443892679032775e-05,
|
2317 |
+
"loss": 0.6283,
|
2318 |
+
"step": 3230
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 0.78,
|
2322 |
+
"grad_norm": 0.22154510021209717,
|
2323 |
+
"learning_rate": 4.843000985666028e-05,
|
2324 |
+
"loss": 0.6571,
|
2325 |
+
"step": 3240
|
2326 |
+
},
|
2327 |
+
{
|
2328 |
+
"epoch": 0.79,
|
2329 |
+
"grad_norm": 0.3334987759590149,
|
2330 |
+
"learning_rate": 4.841606738837458e-05,
|
2331 |
+
"loss": 0.6553,
|
2332 |
+
"step": 3250
|
2333 |
+
},
|
2334 |
+
{
|
2335 |
+
"epoch": 0.79,
|
2336 |
+
"grad_norm": 0.6604078412055969,
|
2337 |
+
"learning_rate": 4.8402065309669085e-05,
|
2338 |
+
"loss": 0.6239,
|
2339 |
+
"step": 3260
|
2340 |
+
},
|
2341 |
+
{
|
2342 |
+
"epoch": 0.79,
|
2343 |
+
"grad_norm": 0.22238047420978546,
|
2344 |
+
"learning_rate": 4.838800365618898e-05,
|
2345 |
+
"loss": 0.6725,
|
2346 |
+
"step": 3270
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 0.79,
|
2350 |
+
"grad_norm": 0.21566419303417206,
|
2351 |
+
"learning_rate": 4.837388246373108e-05,
|
2352 |
+
"loss": 0.6597,
|
2353 |
+
"step": 3280
|
2354 |
+
},
|
2355 |
+
{
|
2356 |
+
"epoch": 0.8,
|
2357 |
+
"grad_norm": 0.9337890148162842,
|
2358 |
+
"learning_rate": 4.83597017682438e-05,
|
2359 |
+
"loss": 0.6454,
|
2360 |
+
"step": 3290
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 0.8,
|
2364 |
+
"grad_norm": 0.2716673016548157,
|
2365 |
+
"learning_rate": 4.8345461605827014e-05,
|
2366 |
+
"loss": 0.6526,
|
2367 |
+
"step": 3300
|
2368 |
+
},
|
2369 |
+
{
|
2370 |
+
"epoch": 0.8,
|
2371 |
+
"grad_norm": 0.23388756811618805,
|
2372 |
+
"learning_rate": 4.8331162012732e-05,
|
2373 |
+
"loss": 0.6642,
|
2374 |
+
"step": 3310
|
2375 |
+
},
|
2376 |
+
{
|
2377 |
+
"epoch": 0.8,
|
2378 |
+
"grad_norm": 0.21243353188037872,
|
2379 |
+
"learning_rate": 4.8316803025361304e-05,
|
2380 |
+
"loss": 0.6233,
|
2381 |
+
"step": 3320
|
2382 |
+
},
|
2383 |
+
{
|
2384 |
+
"epoch": 0.8,
|
2385 |
+
"grad_norm": 0.28600814938545227,
|
2386 |
+
"learning_rate": 4.8302384680268684e-05,
|
2387 |
+
"loss": 0.6559,
|
2388 |
+
"step": 3330
|
2389 |
+
},
|
2390 |
+
{
|
2391 |
+
"epoch": 0.81,
|
2392 |
+
"grad_norm": 0.19718654453754425,
|
2393 |
+
"learning_rate": 4.8287907014159004e-05,
|
2394 |
+
"loss": 0.6357,
|
2395 |
+
"step": 3340
|
2396 |
+
},
|
2397 |
+
{
|
2398 |
+
"epoch": 0.81,
|
2399 |
+
"grad_norm": 0.2330627292394638,
|
2400 |
+
"learning_rate": 4.827337006388816e-05,
|
2401 |
+
"loss": 0.6692,
|
2402 |
+
"step": 3350
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 0.81,
|
2406 |
+
"grad_norm": 0.18776822090148926,
|
2407 |
+
"learning_rate": 4.8258773866462927e-05,
|
2408 |
+
"loss": 0.6804,
|
2409 |
+
"step": 3360
|
2410 |
+
},
|
2411 |
+
{
|
2412 |
+
"epoch": 0.81,
|
2413 |
+
"grad_norm": 0.24929189682006836,
|
2414 |
+
"learning_rate": 4.8244118459040944e-05,
|
2415 |
+
"loss": 0.6455,
|
2416 |
+
"step": 3370
|
2417 |
+
},
|
2418 |
+
{
|
2419 |
+
"epoch": 0.82,
|
2420 |
+
"grad_norm": 0.23884710669517517,
|
2421 |
+
"learning_rate": 4.8229403878930566e-05,
|
2422 |
+
"loss": 0.6345,
|
2423 |
+
"step": 3380
|
2424 |
+
},
|
2425 |
+
{
|
2426 |
+
"epoch": 0.82,
|
2427 |
+
"grad_norm": 0.2579725682735443,
|
2428 |
+
"learning_rate": 4.821463016359078e-05,
|
2429 |
+
"loss": 0.6584,
|
2430 |
+
"step": 3390
|
2431 |
+
},
|
2432 |
+
{
|
2433 |
+
"epoch": 0.82,
|
2434 |
+
"grad_norm": 0.2741701900959015,
|
2435 |
+
"learning_rate": 4.8199797350631136e-05,
|
2436 |
+
"loss": 0.6463,
|
2437 |
+
"step": 3400
|
2438 |
+
},
|
2439 |
+
{
|
2440 |
+
"epoch": 0.82,
|
2441 |
+
"grad_norm": 0.2254386991262436,
|
2442 |
+
"learning_rate": 4.818490547781159e-05,
|
2443 |
+
"loss": 0.6399,
|
2444 |
+
"step": 3410
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 0.83,
|
2448 |
+
"grad_norm": 0.2172977328300476,
|
2449 |
+
"learning_rate": 4.816995458304249e-05,
|
2450 |
+
"loss": 0.661,
|
2451 |
+
"step": 3420
|
2452 |
+
},
|
2453 |
+
{
|
2454 |
+
"epoch": 0.83,
|
2455 |
+
"grad_norm": 0.23464016616344452,
|
2456 |
+
"learning_rate": 4.815494470438441e-05,
|
2457 |
+
"loss": 0.6516,
|
2458 |
+
"step": 3430
|
2459 |
+
},
|
2460 |
+
{
|
2461 |
+
"epoch": 0.83,
|
2462 |
+
"grad_norm": 0.27163979411125183,
|
2463 |
+
"learning_rate": 4.813987588004807e-05,
|
2464 |
+
"loss": 0.6451,
|
2465 |
+
"step": 3440
|
2466 |
+
},
|
2467 |
+
{
|
2468 |
+
"epoch": 0.83,
|
2469 |
+
"grad_norm": 0.20852161943912506,
|
2470 |
+
"learning_rate": 4.8124748148394285e-05,
|
2471 |
+
"loss": 0.6394,
|
2472 |
+
"step": 3450
|
2473 |
+
},
|
2474 |
+
{
|
2475 |
+
"epoch": 0.84,
|
2476 |
+
"grad_norm": 0.2224467694759369,
|
2477 |
+
"learning_rate": 4.81095615479338e-05,
|
2478 |
+
"loss": 0.6427,
|
2479 |
+
"step": 3460
|
2480 |
+
},
|
2481 |
+
{
|
2482 |
+
"epoch": 0.84,
|
2483 |
+
"grad_norm": 0.2205616980791092,
|
2484 |
+
"learning_rate": 4.8094316117327245e-05,
|
2485 |
+
"loss": 0.6491,
|
2486 |
+
"step": 3470
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 0.84,
|
2490 |
+
"grad_norm": 0.21984492242336273,
|
2491 |
+
"learning_rate": 4.8079011895384985e-05,
|
2492 |
+
"loss": 0.6271,
|
2493 |
+
"step": 3480
|
2494 |
+
},
|
2495 |
+
{
|
2496 |
+
"epoch": 0.84,
|
2497 |
+
"grad_norm": 0.29770565032958984,
|
2498 |
+
"learning_rate": 4.806364892106707e-05,
|
2499 |
+
"loss": 0.6048,
|
2500 |
+
"step": 3490
|
2501 |
+
},
|
2502 |
+
{
|
2503 |
+
"epoch": 0.85,
|
2504 |
+
"grad_norm": 0.2440354973077774,
|
2505 |
+
"learning_rate": 4.8048227233483127e-05,
|
2506 |
+
"loss": 0.6307,
|
2507 |
+
"step": 3500
|
2508 |
+
},
|
2509 |
+
{
|
2510 |
+
"epoch": 0.85,
|
2511 |
+
"eval_loss": 0.6532164216041565,
|
2512 |
+
"eval_runtime": 67.3224,
|
2513 |
+
"eval_samples_per_second": 29.708,
|
2514 |
+
"eval_steps_per_second": 0.936,
|
2515 |
+
"step": 3500
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.85,
|
2519 |
+
"grad_norm": 0.25720447301864624,
|
2520 |
+
"learning_rate": 4.803274687189222e-05,
|
2521 |
+
"loss": 0.6337,
|
2522 |
+
"step": 3510
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.85,
|
2526 |
+
"grad_norm": 0.21051880717277527,
|
2527 |
+
"learning_rate": 4.8017207875702814e-05,
|
2528 |
+
"loss": 0.6398,
|
2529 |
+
"step": 3520
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.85,
|
2533 |
+
"grad_norm": 0.2977493107318878,
|
2534 |
+
"learning_rate": 4.800161028447261e-05,
|
2535 |
+
"loss": 0.6346,
|
2536 |
+
"step": 3530
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.86,
|
2540 |
+
"grad_norm": 0.19749422371387482,
|
2541 |
+
"learning_rate": 4.798595413790848e-05,
|
2542 |
+
"loss": 0.6325,
|
2543 |
+
"step": 3540
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.86,
|
2547 |
+
"grad_norm": 0.21522672474384308,
|
2548 |
+
"learning_rate": 4.7970239475866386e-05,
|
2549 |
+
"loss": 0.6244,
|
2550 |
+
"step": 3550
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.86,
|
2554 |
+
"grad_norm": 0.24835069477558136,
|
2555 |
+
"learning_rate": 4.7954466338351224e-05,
|
2556 |
+
"loss": 0.612,
|
2557 |
+
"step": 3560
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.86,
|
2561 |
+
"grad_norm": 0.25459495186805725,
|
2562 |
+
"learning_rate": 4.793863476551677e-05,
|
2563 |
+
"loss": 0.6317,
|
2564 |
+
"step": 3570
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.87,
|
2568 |
+
"grad_norm": 0.28858670592308044,
|
2569 |
+
"learning_rate": 4.7922744797665544e-05,
|
2570 |
+
"loss": 0.6485,
|
2571 |
+
"step": 3580
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.87,
|
2575 |
+
"grad_norm": 0.30466488003730774,
|
2576 |
+
"learning_rate": 4.790679647524873e-05,
|
2577 |
+
"loss": 0.6307,
|
2578 |
+
"step": 3590
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.87,
|
2582 |
+
"grad_norm": 0.36087316274642944,
|
2583 |
+
"learning_rate": 4.789078983886607e-05,
|
2584 |
+
"loss": 0.6749,
|
2585 |
+
"step": 3600
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.87,
|
2589 |
+
"grad_norm": 0.2436164766550064,
|
2590 |
+
"learning_rate": 4.787472492926575e-05,
|
2591 |
+
"loss": 0.6239,
|
2592 |
+
"step": 3610
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.87,
|
2596 |
+
"grad_norm": 0.2527044415473938,
|
2597 |
+
"learning_rate": 4.78586017873443e-05,
|
2598 |
+
"loss": 0.6584,
|
2599 |
+
"step": 3620
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.88,
|
2603 |
+
"grad_norm": 0.25492456555366516,
|
2604 |
+
"learning_rate": 4.784242045414651e-05,
|
2605 |
+
"loss": 0.6487,
|
2606 |
+
"step": 3630
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.88,
|
2610 |
+
"grad_norm": 0.2293190211057663,
|
2611 |
+
"learning_rate": 4.782618097086528e-05,
|
2612 |
+
"loss": 0.646,
|
2613 |
+
"step": 3640
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.88,
|
2617 |
+
"grad_norm": 0.7955949902534485,
|
2618 |
+
"learning_rate": 4.780988337884157e-05,
|
2619 |
+
"loss": 0.6391,
|
2620 |
+
"step": 3650
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.88,
|
2624 |
+
"grad_norm": 0.2331811785697937,
|
2625 |
+
"learning_rate": 4.779352771956425e-05,
|
2626 |
+
"loss": 0.6267,
|
2627 |
+
"step": 3660
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.89,
|
2631 |
+
"grad_norm": 0.23316140472888947,
|
2632 |
+
"learning_rate": 4.7777114034670006e-05,
|
2633 |
+
"loss": 0.6405,
|
2634 |
+
"step": 3670
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.89,
|
2638 |
+
"grad_norm": 0.2253628969192505,
|
2639 |
+
"learning_rate": 4.776064236594327e-05,
|
2640 |
+
"loss": 0.6415,
|
2641 |
+
"step": 3680
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.89,
|
2645 |
+
"grad_norm": 0.2378271222114563,
|
2646 |
+
"learning_rate": 4.774411275531606e-05,
|
2647 |
+
"loss": 0.6362,
|
2648 |
+
"step": 3690
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.89,
|
2652 |
+
"grad_norm": 0.22514688968658447,
|
2653 |
+
"learning_rate": 4.7727525244867896e-05,
|
2654 |
+
"loss": 0.6375,
|
2655 |
+
"step": 3700
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.9,
|
2659 |
+
"grad_norm": 0.20843249559402466,
|
2660 |
+
"learning_rate": 4.771087987682571e-05,
|
2661 |
+
"loss": 0.6166,
|
2662 |
+
"step": 3710
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.9,
|
2666 |
+
"grad_norm": 0.2776215076446533,
|
2667 |
+
"learning_rate": 4.7694176693563705e-05,
|
2668 |
+
"loss": 0.6441,
|
2669 |
+
"step": 3720
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.9,
|
2673 |
+
"grad_norm": 0.21339628100395203,
|
2674 |
+
"learning_rate": 4.767741573760327e-05,
|
2675 |
+
"loss": 0.6388,
|
2676 |
+
"step": 3730
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.9,
|
2680 |
+
"grad_norm": 0.24429263174533844,
|
2681 |
+
"learning_rate": 4.766059705161288e-05,
|
2682 |
+
"loss": 0.6263,
|
2683 |
+
"step": 3740
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.91,
|
2687 |
+
"grad_norm": 0.2099929004907608,
|
2688 |
+
"learning_rate": 4.764372067840795e-05,
|
2689 |
+
"loss": 0.6383,
|
2690 |
+
"step": 3750
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.91,
|
2694 |
+
"grad_norm": 0.22066868841648102,
|
2695 |
+
"learning_rate": 4.7626786660950784e-05,
|
2696 |
+
"loss": 0.6313,
|
2697 |
+
"step": 3760
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.91,
|
2701 |
+
"grad_norm": 0.22953028976917267,
|
2702 |
+
"learning_rate": 4.760979504235038e-05,
|
2703 |
+
"loss": 0.6264,
|
2704 |
+
"step": 3770
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.91,
|
2708 |
+
"grad_norm": 0.3549204170703888,
|
2709 |
+
"learning_rate": 4.759274586586242e-05,
|
2710 |
+
"loss": 0.6368,
|
2711 |
+
"step": 3780
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.92,
|
2715 |
+
"grad_norm": 0.24681401252746582,
|
2716 |
+
"learning_rate": 4.757563917488909e-05,
|
2717 |
+
"loss": 0.6422,
|
2718 |
+
"step": 3790
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.92,
|
2722 |
+
"grad_norm": 0.2417946755886078,
|
2723 |
+
"learning_rate": 4.755847501297898e-05,
|
2724 |
+
"loss": 0.6438,
|
2725 |
+
"step": 3800
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.92,
|
2729 |
+
"grad_norm": 0.2778252959251404,
|
2730 |
+
"learning_rate": 4.7541253423827006e-05,
|
2731 |
+
"loss": 0.6312,
|
2732 |
+
"step": 3810
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.92,
|
2736 |
+
"grad_norm": 0.20280030369758606,
|
2737 |
+
"learning_rate": 4.7523974451274275e-05,
|
2738 |
+
"loss": 0.6349,
|
2739 |
+
"step": 3820
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.93,
|
2743 |
+
"grad_norm": 0.24433667957782745,
|
2744 |
+
"learning_rate": 4.7506638139307966e-05,
|
2745 |
+
"loss": 0.6648,
|
2746 |
+
"step": 3830
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.93,
|
2750 |
+
"grad_norm": 0.3273336887359619,
|
2751 |
+
"learning_rate": 4.7489244532061225e-05,
|
2752 |
+
"loss": 0.6498,
|
2753 |
+
"step": 3840
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.93,
|
2757 |
+
"grad_norm": 0.23943009972572327,
|
2758 |
+
"learning_rate": 4.747179367381307e-05,
|
2759 |
+
"loss": 0.6358,
|
2760 |
+
"step": 3850
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.93,
|
2764 |
+
"grad_norm": 0.26670822501182556,
|
2765 |
+
"learning_rate": 4.745428560898824e-05,
|
2766 |
+
"loss": 0.6563,
|
2767 |
+
"step": 3860
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.94,
|
2771 |
+
"grad_norm": 0.18882083892822266,
|
2772 |
+
"learning_rate": 4.7436720382157116e-05,
|
2773 |
+
"loss": 0.6358,
|
2774 |
+
"step": 3870
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.94,
|
2778 |
+
"grad_norm": 0.23588411509990692,
|
2779 |
+
"learning_rate": 4.741909803803562e-05,
|
2780 |
+
"loss": 0.6396,
|
2781 |
+
"step": 3880
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.94,
|
2785 |
+
"grad_norm": 0.24063749611377716,
|
2786 |
+
"learning_rate": 4.740141862148503e-05,
|
2787 |
+
"loss": 0.6412,
|
2788 |
+
"step": 3890
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.94,
|
2792 |
+
"grad_norm": 0.19155845046043396,
|
2793 |
+
"learning_rate": 4.738368217751196e-05,
|
2794 |
+
"loss": 0.62,
|
2795 |
+
"step": 3900
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.94,
|
2799 |
+
"grad_norm": 0.20259159803390503,
|
2800 |
+
"learning_rate": 4.736588875126816e-05,
|
2801 |
+
"loss": 0.6172,
|
2802 |
+
"step": 3910
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.95,
|
2806 |
+
"grad_norm": 0.22824090719223022,
|
2807 |
+
"learning_rate": 4.734803838805048e-05,
|
2808 |
+
"loss": 0.6286,
|
2809 |
+
"step": 3920
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.95,
|
2813 |
+
"grad_norm": 0.2356242537498474,
|
2814 |
+
"learning_rate": 4.7330131133300686e-05,
|
2815 |
+
"loss": 0.6121,
|
2816 |
+
"step": 3930
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.95,
|
2820 |
+
"grad_norm": 0.22052697837352753,
|
2821 |
+
"learning_rate": 4.731216703260538e-05,
|
2822 |
+
"loss": 0.6402,
|
2823 |
+
"step": 3940
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.95,
|
2827 |
+
"grad_norm": 0.2817922532558441,
|
2828 |
+
"learning_rate": 4.7294146131695874e-05,
|
2829 |
+
"loss": 0.6256,
|
2830 |
+
"step": 3950
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.96,
|
2834 |
+
"grad_norm": 0.23476284742355347,
|
2835 |
+
"learning_rate": 4.7276068476448097e-05,
|
2836 |
+
"loss": 0.644,
|
2837 |
+
"step": 3960
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.96,
|
2841 |
+
"grad_norm": 0.25303345918655396,
|
2842 |
+
"learning_rate": 4.725793411288242e-05,
|
2843 |
+
"loss": 0.649,
|
2844 |
+
"step": 3970
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.96,
|
2848 |
+
"grad_norm": 0.2615244686603546,
|
2849 |
+
"learning_rate": 4.723974308716361e-05,
|
2850 |
+
"loss": 0.6158,
|
2851 |
+
"step": 3980
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.96,
|
2855 |
+
"grad_norm": 0.2798680365085602,
|
2856 |
+
"learning_rate": 4.722149544560067e-05,
|
2857 |
+
"loss": 0.6149,
|
2858 |
+
"step": 3990
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.97,
|
2862 |
+
"grad_norm": 0.19780561327934265,
|
2863 |
+
"learning_rate": 4.720319123464672e-05,
|
2864 |
+
"loss": 0.6167,
|
2865 |
+
"step": 4000
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.97,
|
2869 |
+
"eval_loss": 0.6494756937026978,
|
2870 |
+
"eval_runtime": 67.2363,
|
2871 |
+
"eval_samples_per_second": 29.746,
|
2872 |
+
"eval_steps_per_second": 0.937,
|
2873 |
+
"step": 4000
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 0.97,
|
2877 |
+
"grad_norm": 0.22284342348575592,
|
2878 |
+
"learning_rate": 4.718483050089891e-05,
|
2879 |
+
"loss": 0.6282,
|
2880 |
+
"step": 4010
|
2881 |
+
},
|
2882 |
+
{
|
2883 |
+
"epoch": 0.97,
|
2884 |
+
"grad_norm": 0.242294043302536,
|
2885 |
+
"learning_rate": 4.7166413291098246e-05,
|
2886 |
+
"loss": 0.6418,
|
2887 |
+
"step": 4020
|
2888 |
+
},
|
2889 |
+
{
|
2890 |
+
"epoch": 0.97,
|
2891 |
+
"grad_norm": 0.19954660534858704,
|
2892 |
+
"learning_rate": 4.714793965212955e-05,
|
2893 |
+
"loss": 0.6293,
|
2894 |
+
"step": 4030
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 0.98,
|
2898 |
+
"grad_norm": 0.2239541858434677,
|
2899 |
+
"learning_rate": 4.712940963102126e-05,
|
2900 |
+
"loss": 0.6441,
|
2901 |
+
"step": 4040
|
2902 |
+
},
|
2903 |
+
{
|
2904 |
+
"epoch": 0.98,
|
2905 |
+
"grad_norm": 0.2324070930480957,
|
2906 |
+
"learning_rate": 4.711082327494536e-05,
|
2907 |
+
"loss": 0.6355,
|
2908 |
+
"step": 4050
|
2909 |
+
},
|
2910 |
+
{
|
2911 |
+
"epoch": 0.98,
|
2912 |
+
"grad_norm": 0.27540045976638794,
|
2913 |
+
"learning_rate": 4.709218063121725e-05,
|
2914 |
+
"loss": 0.6476,
|
2915 |
+
"step": 4060
|
2916 |
+
},
|
2917 |
+
{
|
2918 |
+
"epoch": 0.98,
|
2919 |
+
"grad_norm": 0.37015092372894287,
|
2920 |
+
"learning_rate": 4.7073481747295614e-05,
|
2921 |
+
"loss": 0.6161,
|
2922 |
+
"step": 4070
|
2923 |
+
},
|
2924 |
+
{
|
2925 |
+
"epoch": 0.99,
|
2926 |
+
"grad_norm": 0.2678948938846588,
|
2927 |
+
"learning_rate": 4.7054726670782304e-05,
|
2928 |
+
"loss": 0.6404,
|
2929 |
+
"step": 4080
|
2930 |
+
},
|
2931 |
+
{
|
2932 |
+
"epoch": 0.99,
|
2933 |
+
"grad_norm": 0.2190527468919754,
|
2934 |
+
"learning_rate": 4.703591544942224e-05,
|
2935 |
+
"loss": 0.6619,
|
2936 |
+
"step": 4090
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 0.99,
|
2940 |
+
"grad_norm": 0.23498305678367615,
|
2941 |
+
"learning_rate": 4.701704813110325e-05,
|
2942 |
+
"loss": 0.6297,
|
2943 |
+
"step": 4100
|
2944 |
+
},
|
2945 |
+
{
|
2946 |
+
"epoch": 0.99,
|
2947 |
+
"grad_norm": 0.2132258415222168,
|
2948 |
+
"learning_rate": 4.6998124763855984e-05,
|
2949 |
+
"loss": 0.6462,
|
2950 |
+
"step": 4110
|
2951 |
+
},
|
2952 |
+
{
|
2953 |
+
"epoch": 1.0,
|
2954 |
+
"grad_norm": 0.2967916429042816,
|
2955 |
+
"learning_rate": 4.697914539585376e-05,
|
2956 |
+
"loss": 0.6347,
|
2957 |
+
"step": 4120
|
2958 |
+
},
|
2959 |
+
{
|
2960 |
+
"epoch": 1.0,
|
2961 |
+
"grad_norm": 0.2503927946090698,
|
2962 |
+
"learning_rate": 4.6960110075412473e-05,
|
2963 |
+
"loss": 0.6264,
|
2964 |
+
"step": 4130
|
2965 |
+
},
|
2966 |
+
{
|
2967 |
+
"epoch": 1.0,
|
2968 |
+
"grad_norm": 0.2261209934949875,
|
2969 |
+
"learning_rate": 4.694101885099045e-05,
|
2970 |
+
"loss": 0.6351,
|
2971 |
+
"step": 4140
|
2972 |
+
},
|
2973 |
+
{
|
2974 |
+
"epoch": 1.0,
|
2975 |
+
"grad_norm": 0.2164410799741745,
|
2976 |
+
"learning_rate": 4.692187177118832e-05,
|
2977 |
+
"loss": 0.626,
|
2978 |
+
"step": 4150
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 1.01,
|
2982 |
+
"grad_norm": 0.2934332489967346,
|
2983 |
+
"learning_rate": 4.690266888474893e-05,
|
2984 |
+
"loss": 0.6243,
|
2985 |
+
"step": 4160
|
2986 |
+
},
|
2987 |
+
{
|
2988 |
+
"epoch": 1.01,
|
2989 |
+
"grad_norm": 0.23883183300495148,
|
2990 |
+
"learning_rate": 4.688341024055718e-05,
|
2991 |
+
"loss": 0.624,
|
2992 |
+
"step": 4170
|
2993 |
+
},
|
2994 |
+
{
|
2995 |
+
"epoch": 1.01,
|
2996 |
+
"grad_norm": 0.1730484664440155,
|
2997 |
+
"learning_rate": 4.686409588763991e-05,
|
2998 |
+
"loss": 0.6473,
|
2999 |
+
"step": 4180
|
3000 |
+
},
|
3001 |
+
{
|
3002 |
+
"epoch": 1.01,
|
3003 |
+
"grad_norm": 0.27762770652770996,
|
3004 |
+
"learning_rate": 4.6844725875165775e-05,
|
3005 |
+
"loss": 0.6508,
|
3006 |
+
"step": 4190
|
3007 |
+
},
|
3008 |
+
{
|
3009 |
+
"epoch": 1.01,
|
3010 |
+
"grad_norm": 0.243989497423172,
|
3011 |
+
"learning_rate": 4.682530025244514e-05,
|
3012 |
+
"loss": 0.6305,
|
3013 |
+
"step": 4200
|
3014 |
+
},
|
3015 |
+
{
|
3016 |
+
"epoch": 1.02,
|
3017 |
+
"grad_norm": 0.21361881494522095,
|
3018 |
+
"learning_rate": 4.6805819068929925e-05,
|
3019 |
+
"loss": 0.5969,
|
3020 |
+
"step": 4210
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 1.02,
|
3024 |
+
"grad_norm": 0.22126366198062897,
|
3025 |
+
"learning_rate": 4.678628237421348e-05,
|
3026 |
+
"loss": 0.6192,
|
3027 |
+
"step": 4220
|
3028 |
+
},
|
3029 |
+
{
|
3030 |
+
"epoch": 1.02,
|
3031 |
+
"grad_norm": 0.2569611370563507,
|
3032 |
+
"learning_rate": 4.6766690218030495e-05,
|
3033 |
+
"loss": 0.6235,
|
3034 |
+
"step": 4230
|
3035 |
+
},
|
3036 |
+
{
|
3037 |
+
"epoch": 1.02,
|
3038 |
+
"grad_norm": 0.26861709356307983,
|
3039 |
+
"learning_rate": 4.674704265025683e-05,
|
3040 |
+
"loss": 0.6413,
|
3041 |
+
"step": 4240
|
3042 |
+
},
|
3043 |
+
{
|
3044 |
+
"epoch": 1.03,
|
3045 |
+
"grad_norm": 0.19330435991287231,
|
3046 |
+
"learning_rate": 4.672733972090943e-05,
|
3047 |
+
"loss": 0.6413,
|
3048 |
+
"step": 4250
|
3049 |
+
},
|
3050 |
+
{
|
3051 |
+
"epoch": 1.03,
|
3052 |
+
"grad_norm": 0.25647568702697754,
|
3053 |
+
"learning_rate": 4.6707581480146136e-05,
|
3054 |
+
"loss": 0.6411,
|
3055 |
+
"step": 4260
|
3056 |
+
},
|
3057 |
+
{
|
3058 |
+
"epoch": 1.03,
|
3059 |
+
"grad_norm": 0.23879855871200562,
|
3060 |
+
"learning_rate": 4.6687767978265625e-05,
|
3061 |
+
"loss": 0.6188,
|
3062 |
+
"step": 4270
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 1.03,
|
3066 |
+
"grad_norm": 0.25180870294570923,
|
3067 |
+
"learning_rate": 4.666789926570725e-05,
|
3068 |
+
"loss": 0.6388,
|
3069 |
+
"step": 4280
|
3070 |
+
},
|
3071 |
+
{
|
3072 |
+
"epoch": 1.04,
|
3073 |
+
"grad_norm": 0.26070743799209595,
|
3074 |
+
"learning_rate": 4.6647975393050904e-05,
|
3075 |
+
"loss": 0.6254,
|
3076 |
+
"step": 4290
|
3077 |
+
},
|
3078 |
+
{
|
3079 |
+
"epoch": 1.04,
|
3080 |
+
"grad_norm": 0.2934954762458801,
|
3081 |
+
"learning_rate": 4.662799641101691e-05,
|
3082 |
+
"loss": 0.6089,
|
3083 |
+
"step": 4300
|
3084 |
+
},
|
3085 |
+
{
|
3086 |
+
"epoch": 1.04,
|
3087 |
+
"grad_norm": 0.24827881157398224,
|
3088 |
+
"learning_rate": 4.6607962370465866e-05,
|
3089 |
+
"loss": 0.6233,
|
3090 |
+
"step": 4310
|
3091 |
+
},
|
3092 |
+
{
|
3093 |
+
"epoch": 1.04,
|
3094 |
+
"grad_norm": 0.7880712151527405,
|
3095 |
+
"learning_rate": 4.658787332239856e-05,
|
3096 |
+
"loss": 0.6305,
|
3097 |
+
"step": 4320
|
3098 |
+
},
|
3099 |
+
{
|
3100 |
+
"epoch": 1.05,
|
3101 |
+
"grad_norm": 0.23941326141357422,
|
3102 |
+
"learning_rate": 4.6567729317955796e-05,
|
3103 |
+
"loss": 0.6449,
|
3104 |
+
"step": 4330
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 1.05,
|
3108 |
+
"grad_norm": 0.21050909161567688,
|
3109 |
+
"learning_rate": 4.654753040841829e-05,
|
3110 |
+
"loss": 0.6324,
|
3111 |
+
"step": 4340
|
3112 |
+
},
|
3113 |
+
{
|
3114 |
+
"epoch": 1.05,
|
3115 |
+
"grad_norm": 0.2372525930404663,
|
3116 |
+
"learning_rate": 4.6527276645206516e-05,
|
3117 |
+
"loss": 0.6098,
|
3118 |
+
"step": 4350
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 1.05,
|
3122 |
+
"grad_norm": 0.23655132949352264,
|
3123 |
+
"learning_rate": 4.65069680798806e-05,
|
3124 |
+
"loss": 0.6457,
|
3125 |
+
"step": 4360
|
3126 |
+
},
|
3127 |
+
{
|
3128 |
+
"epoch": 1.06,
|
3129 |
+
"grad_norm": 0.26810187101364136,
|
3130 |
+
"learning_rate": 4.648660476414017e-05,
|
3131 |
+
"loss": 0.6327,
|
3132 |
+
"step": 4370
|
3133 |
+
},
|
3134 |
+
{
|
3135 |
+
"epoch": 1.06,
|
3136 |
+
"grad_norm": 0.2635047137737274,
|
3137 |
+
"learning_rate": 4.6466186749824235e-05,
|
3138 |
+
"loss": 0.6359,
|
3139 |
+
"step": 4380
|
3140 |
+
},
|
3141 |
+
{
|
3142 |
+
"epoch": 1.06,
|
3143 |
+
"grad_norm": 0.2955858111381531,
|
3144 |
+
"learning_rate": 4.6445714088911076e-05,
|
3145 |
+
"loss": 0.6412,
|
3146 |
+
"step": 4390
|
3147 |
+
},
|
3148 |
+
{
|
3149 |
+
"epoch": 1.06,
|
3150 |
+
"grad_norm": 0.2971380949020386,
|
3151 |
+
"learning_rate": 4.6425186833518054e-05,
|
3152 |
+
"loss": 0.61,
|
3153 |
+
"step": 4400
|
3154 |
+
},
|
3155 |
+
{
|
3156 |
+
"epoch": 1.07,
|
3157 |
+
"grad_norm": 0.22041000425815582,
|
3158 |
+
"learning_rate": 4.6404605035901505e-05,
|
3159 |
+
"loss": 0.6494,
|
3160 |
+
"step": 4410
|
3161 |
+
},
|
3162 |
+
{
|
3163 |
+
"epoch": 1.07,
|
3164 |
+
"grad_norm": 0.2463519424200058,
|
3165 |
+
"learning_rate": 4.638396874845666e-05,
|
3166 |
+
"loss": 0.6223,
|
3167 |
+
"step": 4420
|
3168 |
+
},
|
3169 |
+
{
|
3170 |
+
"epoch": 1.07,
|
3171 |
+
"grad_norm": 0.2519693374633789,
|
3172 |
+
"learning_rate": 4.636327802371742e-05,
|
3173 |
+
"loss": 0.6399,
|
3174 |
+
"step": 4430
|
3175 |
+
},
|
3176 |
+
{
|
3177 |
+
"epoch": 1.07,
|
3178 |
+
"grad_norm": 0.23022256791591644,
|
3179 |
+
"learning_rate": 4.6342532914356284e-05,
|
3180 |
+
"loss": 0.6106,
|
3181 |
+
"step": 4440
|
3182 |
+
},
|
3183 |
+
{
|
3184 |
+
"epoch": 1.08,
|
3185 |
+
"grad_norm": 0.21000300347805023,
|
3186 |
+
"learning_rate": 4.632173347318421e-05,
|
3187 |
+
"loss": 0.6463,
|
3188 |
+
"step": 4450
|
3189 |
+
},
|
3190 |
+
{
|
3191 |
+
"epoch": 1.08,
|
3192 |
+
"grad_norm": 0.2383776307106018,
|
3193 |
+
"learning_rate": 4.630087975315045e-05,
|
3194 |
+
"loss": 0.6202,
|
3195 |
+
"step": 4460
|
3196 |
+
},
|
3197 |
+
{
|
3198 |
+
"epoch": 1.08,
|
3199 |
+
"grad_norm": 0.2528972327709198,
|
3200 |
+
"learning_rate": 4.627997180734244e-05,
|
3201 |
+
"loss": 0.6401,
|
3202 |
+
"step": 4470
|
3203 |
+
},
|
3204 |
+
{
|
3205 |
+
"epoch": 1.08,
|
3206 |
+
"grad_norm": 0.20749187469482422,
|
3207 |
+
"learning_rate": 4.625900968898565e-05,
|
3208 |
+
"loss": 0.6541,
|
3209 |
+
"step": 4480
|
3210 |
+
},
|
3211 |
+
{
|
3212 |
+
"epoch": 1.09,
|
3213 |
+
"grad_norm": 0.2283320277929306,
|
3214 |
+
"learning_rate": 4.623799345144348e-05,
|
3215 |
+
"loss": 0.6311,
|
3216 |
+
"step": 4490
|
3217 |
+
},
|
3218 |
+
{
|
3219 |
+
"epoch": 1.09,
|
3220 |
+
"grad_norm": 0.21833132207393646,
|
3221 |
+
"learning_rate": 4.6216923148217096e-05,
|
3222 |
+
"loss": 0.6272,
|
3223 |
+
"step": 4500
|
3224 |
+
},
|
3225 |
+
{
|
3226 |
+
"epoch": 1.09,
|
3227 |
+
"eval_loss": 0.6476519107818604,
|
3228 |
+
"eval_runtime": 67.279,
|
3229 |
+
"eval_samples_per_second": 29.727,
|
3230 |
+
"eval_steps_per_second": 0.936,
|
3231 |
+
"step": 4500
|
3232 |
+
}
|
3233 |
+
],
|
3234 |
+
"logging_steps": 10,
|
3235 |
+
"max_steps": 20690,
|
3236 |
+
"num_input_tokens_seen": 0,
|
3237 |
+
"num_train_epochs": 5,
|
3238 |
+
"save_steps": 500,
|
3239 |
+
"total_flos": 9.730935313945068e+18,
|
3240 |
+
"train_batch_size": 4,
|
3241 |
+
"trial_name": null,
|
3242 |
+
"trial_params": null
|
3243 |
+
}
|
checkpoint-4500/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fd6a31d2da7b4686068d511137b843e541147626d5878a410233f3ef91ae5dc6
|
3 |
+
size 5048
|