Model save
Browse files- README.md +4 -7
- all_results.json +6 -6
- config.json +1 -1
- model-00001-of-00004.safetensors +1 -1
- model-00002-of-00004.safetensors +1 -1
- model-00003-of-00004.safetensors +1 -1
- model-00004-of-00004.safetensors +1 -1
- special_tokens_map.json +19 -15
- tokenizer_config.json +9 -4
- train_results.json +6 -6
- trainer_state.json +963 -1516
- training_args.bin +2 -2
README.md
CHANGED
|
@@ -1,20 +1,17 @@
|
|
| 1 |
---
|
| 2 |
base_model: BSC-LT/salamandra-7b
|
| 3 |
-
datasets:
|
| 4 |
-
- latam-gpt/es-smoltalk
|
| 5 |
library_name: transformers
|
| 6 |
-
model_name:
|
| 7 |
tags:
|
| 8 |
- generated_from_trainer
|
| 9 |
-
- alignment-handbook
|
| 10 |
- trl
|
| 11 |
- sft
|
| 12 |
licence: license
|
| 13 |
---
|
| 14 |
|
| 15 |
-
# Model Card for
|
| 16 |
|
| 17 |
-
This model is a fine-tuned version of [BSC-LT/salamandra-7b](https://huggingface.co/BSC-LT/salamandra-7b)
|
| 18 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 19 |
|
| 20 |
## Quick start
|
|
@@ -30,7 +27,7 @@ print(output["generated_text"])
|
|
| 30 |
|
| 31 |
## Training procedure
|
| 32 |
|
| 33 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/sebcif-cenia/huggingface/runs/
|
| 34 |
|
| 35 |
|
| 36 |
This model was trained with SFT.
|
|
|
|
| 1 |
---
|
| 2 |
base_model: BSC-LT/salamandra-7b
|
|
|
|
|
|
|
| 3 |
library_name: transformers
|
| 4 |
+
model_name: salamandra-2B-instruct-smoltalk
|
| 5 |
tags:
|
| 6 |
- generated_from_trainer
|
|
|
|
| 7 |
- trl
|
| 8 |
- sft
|
| 9 |
licence: license
|
| 10 |
---
|
| 11 |
|
| 12 |
+
# Model Card for salamandra-2B-instruct-smoltalk
|
| 13 |
|
| 14 |
+
This model is a fine-tuned version of [BSC-LT/salamandra-7b](https://huggingface.co/BSC-LT/salamandra-7b).
|
| 15 |
It has been trained using [TRL](https://github.com/huggingface/trl).
|
| 16 |
|
| 17 |
## Quick start
|
|
|
|
| 27 |
|
| 28 |
## Training procedure
|
| 29 |
|
| 30 |
+
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/sebcif-cenia/huggingface/runs/0ah4u46o)
|
| 31 |
|
| 32 |
|
| 33 |
This model was trained with SFT.
|
all_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch": 1.
|
| 3 |
-
"total_flos": 7.
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 149962,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second": 0.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.9974768713204374,
|
| 3 |
+
"total_flos": 7.94530881371059e+18,
|
| 4 |
+
"train_loss": 0.9845614412216225,
|
| 5 |
+
"train_runtime": 14065.2912,
|
| 6 |
"train_samples": 149962,
|
| 7 |
+
"train_samples_per_second": 2.704,
|
| 8 |
+
"train_steps_per_second": 0.084
|
| 9 |
}
|
config.json
CHANGED
|
@@ -26,6 +26,6 @@
|
|
| 26 |
"tie_word_embeddings": false,
|
| 27 |
"torch_dtype": "bfloat16",
|
| 28 |
"transformers_version": "4.48.1",
|
| 29 |
-
"use_cache":
|
| 30 |
"vocab_size": 256000
|
| 31 |
}
|
|
|
|
| 26 |
"tie_word_embeddings": false,
|
| 27 |
"torch_dtype": "bfloat16",
|
| 28 |
"transformers_version": "4.48.1",
|
| 29 |
+
"use_cache": false,
|
| 30 |
"vocab_size": 256000
|
| 31 |
}
|
model-00001-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4982973048
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:686ca414a5f737cd40391ebf46773f70943bbb2b669d446a2c9c45aefb2a2b61
|
| 3 |
size 4982973048
|
model-00002-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4995660232
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2fae02c1065c03753b3476f9e1032fc361864980a280183dae23a4dff66b5b30
|
| 3 |
size 4995660232
|
model-00003-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3460482936
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c94a37dbef0e9dcab19e52487140336796c7230a717d3d19080bdc7d6d94aaaa
|
| 3 |
size 3460482936
|
model-00004-of-00004.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 2097152128
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec810cdde7135472c821f8ed041ed57556a11aa5e4539ab61489a3c49ab36623
|
| 3 |
size 2097152128
|
special_tokens_map.json
CHANGED
|
@@ -1,19 +1,23 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
| 14 |
-
|
| 15 |
-
|
| 16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
| 17 |
"unk_token": {
|
| 18 |
"content": "<unk>",
|
| 19 |
"lstrip": false,
|
|
|
|
| 1 |
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
{
|
| 4 |
+
"content": "<|im_start|>",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false
|
| 9 |
+
},
|
| 10 |
+
{
|
| 11 |
+
"content": "<|im_end|>",
|
| 12 |
+
"lstrip": false,
|
| 13 |
+
"normalized": false,
|
| 14 |
+
"rstrip": false,
|
| 15 |
+
"single_word": false
|
| 16 |
+
}
|
| 17 |
+
],
|
| 18 |
+
"bos_token": "<|im_start|>",
|
| 19 |
+
"eos_token": "<|im_end|>",
|
| 20 |
+
"pad_token": "<|im_end|>",
|
| 21 |
"unk_token": {
|
| 22 |
"content": "<unk>",
|
| 23 |
"lstrip": false,
|
tokenizer_config.json
CHANGED
|
@@ -1084,14 +1084,19 @@
|
|
| 1084 |
"special": false
|
| 1085 |
}
|
| 1086 |
},
|
| 1087 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1088 |
"clean_up_tokenization_spaces": false,
|
| 1089 |
-
"eos_token": "
|
| 1090 |
"extra_special_tokens": {},
|
| 1091 |
"legacy": false,
|
| 1092 |
"local_files_only": true,
|
| 1093 |
-
"model_max_length":
|
| 1094 |
-
"pad_token": "
|
| 1095 |
"sp_model_kwargs": {},
|
| 1096 |
"spaces_between_special_tokens": false,
|
| 1097 |
"tokenizer_class": "LlamaTokenizer",
|
|
|
|
| 1084 |
"special": false
|
| 1085 |
}
|
| 1086 |
},
|
| 1087 |
+
"additional_special_tokens": [
|
| 1088 |
+
"<|im_start|>",
|
| 1089 |
+
"<|im_end|>"
|
| 1090 |
+
],
|
| 1091 |
+
"bos_token": "<|im_start|>",
|
| 1092 |
+
"chat_template": "{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 1093 |
"clean_up_tokenization_spaces": false,
|
| 1094 |
+
"eos_token": "<|im_end|>",
|
| 1095 |
"extra_special_tokens": {},
|
| 1096 |
"legacy": false,
|
| 1097 |
"local_files_only": true,
|
| 1098 |
+
"model_max_length": 2048,
|
| 1099 |
+
"pad_token": "<|im_end|>",
|
| 1100 |
"sp_model_kwargs": {},
|
| 1101 |
"spaces_between_special_tokens": false,
|
| 1102 |
"tokenizer_class": "LlamaTokenizer",
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"epoch": 1.
|
| 3 |
-
"total_flos": 7.
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 149962,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second": 0.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"epoch": 1.9974768713204374,
|
| 3 |
+
"total_flos": 7.94530881371059e+18,
|
| 4 |
+
"train_loss": 0.9845614412216225,
|
| 5 |
+
"train_runtime": 14065.2912,
|
| 6 |
"train_samples": 149962,
|
| 7 |
+
"train_samples_per_second": 2.704,
|
| 8 |
+
"train_steps_per_second": 0.084
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -1,2244 +1,1691 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 1.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 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.
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss": 1.
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm": 0.
|
| 21 |
-
"learning_rate":
|
| 22 |
-
"loss": 1.
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm": 0.
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss": 1.
|
| 30 |
"step": 10
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm":
|
| 35 |
-
"learning_rate":
|
| 36 |
-
"loss": 1.
|
| 37 |
"step": 15
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm": 0.
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 20
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch": 0.
|
| 48 |
-
"grad_norm": 0.
|
| 49 |
-
"learning_rate":
|
| 50 |
-
"loss":
|
| 51 |
"step": 25
|
| 52 |
},
|
| 53 |
{
|
| 54 |
-
"epoch": 0.
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
-
"learning_rate":
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 30
|
| 59 |
},
|
| 60 |
{
|
| 61 |
-
"epoch": 0.
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
-
"learning_rate":
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 35
|
| 66 |
},
|
| 67 |
{
|
| 68 |
-
"epoch": 0.
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
-
"learning_rate":
|
| 71 |
-
"loss": 0.
|
| 72 |
"step": 40
|
| 73 |
},
|
| 74 |
{
|
| 75 |
-
"epoch": 0.
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
-
"learning_rate":
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 45
|
| 80 |
},
|
| 81 |
{
|
| 82 |
-
"epoch": 0.
|
| 83 |
-
"grad_norm": 0.
|
| 84 |
-
"learning_rate":
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 50
|
| 87 |
},
|
| 88 |
{
|
| 89 |
-
"epoch": 0.
|
| 90 |
-
"grad_norm": 0.
|
| 91 |
-
"learning_rate": 0.
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 55
|
| 94 |
},
|
| 95 |
{
|
| 96 |
-
"epoch": 0.
|
| 97 |
-
"grad_norm": 0.
|
| 98 |
-
"learning_rate": 0.
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 60
|
| 101 |
},
|
| 102 |
{
|
| 103 |
-
"epoch": 0.
|
| 104 |
-
"grad_norm": 0.
|
| 105 |
-
"learning_rate": 0.
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 65
|
| 108 |
},
|
| 109 |
{
|
| 110 |
-
"epoch": 0.
|
| 111 |
-
"grad_norm": 0.
|
| 112 |
-
"learning_rate": 0.
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 70
|
| 115 |
},
|
| 116 |
{
|
| 117 |
-
"epoch": 0.
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
-
"learning_rate": 0.
|
| 120 |
-
"loss": 0.
|
| 121 |
"step": 75
|
| 122 |
},
|
| 123 |
{
|
| 124 |
-
"epoch": 0.
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
-
"learning_rate": 0.
|
| 127 |
-
"loss": 0.
|
| 128 |
"step": 80
|
| 129 |
},
|
| 130 |
{
|
| 131 |
-
"epoch": 0.
|
| 132 |
-
"grad_norm": 0.
|
| 133 |
-
"learning_rate": 0.
|
| 134 |
-
"loss": 0.
|
| 135 |
"step": 85
|
| 136 |
},
|
| 137 |
{
|
| 138 |
-
"epoch": 0.
|
| 139 |
-
"grad_norm": 0.
|
| 140 |
-
"learning_rate": 0.
|
| 141 |
-
"loss":
|
| 142 |
"step": 90
|
| 143 |
},
|
| 144 |
{
|
| 145 |
-
"epoch": 0.
|
| 146 |
-
"grad_norm": 0.
|
| 147 |
-
"learning_rate": 0.
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 95
|
| 150 |
},
|
| 151 |
{
|
| 152 |
-
"epoch": 0.
|
| 153 |
-
"grad_norm": 0.
|
| 154 |
-
"learning_rate": 0.
|
| 155 |
-
"loss": 0.
|
| 156 |
"step": 100
|
| 157 |
},
|
| 158 |
{
|
| 159 |
-
"epoch": 0.
|
| 160 |
-
"grad_norm": 0.
|
| 161 |
-
"learning_rate": 0.
|
| 162 |
-
"loss": 0.
|
| 163 |
"step": 105
|
| 164 |
},
|
| 165 |
{
|
| 166 |
-
"epoch": 0.
|
| 167 |
-
"grad_norm": 0.
|
| 168 |
-
"learning_rate": 0.
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 110
|
| 171 |
},
|
| 172 |
{
|
| 173 |
-
"epoch": 0.
|
| 174 |
-
"grad_norm": 0.
|
| 175 |
-
"learning_rate": 0.
|
| 176 |
-
"loss": 0.
|
| 177 |
"step": 115
|
| 178 |
},
|
| 179 |
{
|
| 180 |
-
"epoch": 0.
|
| 181 |
-
"grad_norm": 0.
|
| 182 |
-
"learning_rate": 0.
|
| 183 |
-
"loss":
|
| 184 |
"step": 120
|
| 185 |
},
|
| 186 |
{
|
| 187 |
-
"epoch": 0.
|
| 188 |
-
"grad_norm":
|
| 189 |
-
"learning_rate": 0.
|
| 190 |
-
"loss":
|
| 191 |
"step": 125
|
| 192 |
},
|
| 193 |
{
|
| 194 |
-
"epoch": 0.
|
| 195 |
-
"grad_norm":
|
| 196 |
-
"learning_rate": 0.
|
| 197 |
-
"loss":
|
| 198 |
"step": 130
|
| 199 |
},
|
| 200 |
{
|
| 201 |
-
"epoch": 0.
|
| 202 |
-
"grad_norm":
|
| 203 |
-
"learning_rate": 0.
|
| 204 |
-
"loss":
|
| 205 |
"step": 135
|
| 206 |
},
|
| 207 |
{
|
| 208 |
-
"epoch": 0.
|
| 209 |
-
"grad_norm":
|
| 210 |
-
"learning_rate": 0.
|
| 211 |
-
"loss":
|
| 212 |
"step": 140
|
| 213 |
},
|
| 214 |
{
|
| 215 |
-
"epoch": 0.
|
| 216 |
-
"grad_norm":
|
| 217 |
-
"learning_rate": 0.
|
| 218 |
-
"loss":
|
| 219 |
"step": 145
|
| 220 |
},
|
| 221 |
{
|
| 222 |
-
"epoch": 0.
|
| 223 |
-
"grad_norm":
|
| 224 |
-
"learning_rate": 0.
|
| 225 |
-
"loss":
|
| 226 |
"step": 150
|
| 227 |
},
|
| 228 |
{
|
| 229 |
-
"epoch": 0.
|
| 230 |
-
"grad_norm":
|
| 231 |
-
"learning_rate": 0.
|
| 232 |
-
"loss":
|
| 233 |
"step": 155
|
| 234 |
},
|
| 235 |
{
|
| 236 |
-
"epoch": 0.
|
| 237 |
-
"grad_norm":
|
| 238 |
-
"learning_rate": 0.
|
| 239 |
-
"loss":
|
| 240 |
"step": 160
|
| 241 |
},
|
| 242 |
{
|
| 243 |
-
"epoch": 0.
|
| 244 |
-
"grad_norm":
|
| 245 |
-
"learning_rate": 0.
|
| 246 |
-
"loss":
|
| 247 |
"step": 165
|
| 248 |
},
|
| 249 |
{
|
| 250 |
-
"epoch": 0.
|
| 251 |
-
"grad_norm":
|
| 252 |
-
"learning_rate": 0.
|
| 253 |
-
"loss":
|
| 254 |
"step": 170
|
| 255 |
},
|
| 256 |
{
|
| 257 |
-
"epoch": 0.
|
| 258 |
-
"grad_norm":
|
| 259 |
-
"learning_rate": 0.
|
| 260 |
-
"loss":
|
| 261 |
"step": 175
|
| 262 |
},
|
| 263 |
{
|
| 264 |
-
"epoch": 0.
|
| 265 |
-
"grad_norm":
|
| 266 |
-
"learning_rate": 0.
|
| 267 |
-
"loss":
|
| 268 |
"step": 180
|
| 269 |
},
|
| 270 |
{
|
| 271 |
-
"epoch": 0.
|
| 272 |
-
"grad_norm":
|
| 273 |
-
"learning_rate": 0.
|
| 274 |
-
"loss":
|
| 275 |
"step": 185
|
| 276 |
},
|
| 277 |
{
|
| 278 |
-
"epoch": 0.
|
| 279 |
-
"grad_norm":
|
| 280 |
-
"learning_rate": 0.
|
| 281 |
-
"loss":
|
| 282 |
"step": 190
|
| 283 |
},
|
| 284 |
{
|
| 285 |
-
"epoch": 0.
|
| 286 |
-
"grad_norm":
|
| 287 |
-
"learning_rate": 0.
|
| 288 |
-
"loss":
|
| 289 |
"step": 195
|
| 290 |
},
|
| 291 |
{
|
| 292 |
-
"epoch": 0.
|
| 293 |
-
"grad_norm":
|
| 294 |
-
"learning_rate": 0.
|
| 295 |
-
"loss":
|
| 296 |
"step": 200
|
| 297 |
},
|
| 298 |
{
|
| 299 |
-
"epoch": 0.
|
| 300 |
-
"grad_norm":
|
| 301 |
-
"learning_rate": 0.
|
| 302 |
-
"loss":
|
| 303 |
"step": 205
|
| 304 |
},
|
| 305 |
{
|
| 306 |
-
"epoch": 0.
|
| 307 |
-
"grad_norm":
|
| 308 |
-
"learning_rate": 0.
|
| 309 |
-
"loss":
|
| 310 |
"step": 210
|
| 311 |
},
|
| 312 |
{
|
| 313 |
-
"epoch": 0.
|
| 314 |
-
"grad_norm":
|
| 315 |
-
"learning_rate": 0.
|
| 316 |
-
"loss":
|
| 317 |
"step": 215
|
| 318 |
},
|
| 319 |
{
|
| 320 |
-
"epoch": 0.
|
| 321 |
-
"grad_norm":
|
| 322 |
-
"learning_rate": 0.
|
| 323 |
-
"loss":
|
| 324 |
"step": 220
|
| 325 |
},
|
| 326 |
{
|
| 327 |
-
"epoch": 0.
|
| 328 |
-
"grad_norm":
|
| 329 |
-
"learning_rate": 0.
|
| 330 |
-
"loss":
|
| 331 |
"step": 225
|
| 332 |
},
|
| 333 |
{
|
| 334 |
-
"epoch": 0.
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
-
"learning_rate": 0.
|
| 337 |
-
"loss":
|
| 338 |
"step": 230
|
| 339 |
},
|
| 340 |
{
|
| 341 |
-
"epoch": 0.
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
-
"learning_rate": 0.
|
| 344 |
-
"loss":
|
| 345 |
"step": 235
|
| 346 |
},
|
| 347 |
{
|
| 348 |
-
"epoch": 0.
|
| 349 |
-
"grad_norm": 0.
|
| 350 |
-
"learning_rate": 0.
|
| 351 |
-
"loss":
|
| 352 |
"step": 240
|
| 353 |
},
|
| 354 |
{
|
| 355 |
-
"epoch": 0.
|
| 356 |
-
"grad_norm":
|
| 357 |
-
"learning_rate": 0.
|
| 358 |
-
"loss":
|
| 359 |
"step": 245
|
| 360 |
},
|
| 361 |
{
|
| 362 |
-
"epoch": 0.
|
| 363 |
-
"grad_norm": 0.
|
| 364 |
-
"learning_rate": 0.
|
| 365 |
-
"loss":
|
| 366 |
"step": 250
|
| 367 |
},
|
| 368 |
{
|
| 369 |
-
"epoch": 0.
|
| 370 |
-
"grad_norm":
|
| 371 |
-
"learning_rate": 0.
|
| 372 |
-
"loss":
|
| 373 |
"step": 255
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 0.
|
| 377 |
-
"grad_norm":
|
| 378 |
-
"learning_rate": 0.
|
| 379 |
-
"loss":
|
| 380 |
"step": 260
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 0.
|
| 384 |
-
"grad_norm":
|
| 385 |
-
"learning_rate": 0.
|
| 386 |
-
"loss":
|
| 387 |
"step": 265
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 0.
|
| 391 |
-
"grad_norm":
|
| 392 |
-
"learning_rate": 0.
|
| 393 |
-
"loss":
|
| 394 |
"step": 270
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch": 0.
|
| 398 |
-
"grad_norm":
|
| 399 |
-
"learning_rate": 0.
|
| 400 |
-
"loss":
|
| 401 |
"step": 275
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch": 0.
|
| 405 |
-
"grad_norm":
|
| 406 |
-
"learning_rate": 0.
|
| 407 |
-
"loss":
|
| 408 |
"step": 280
|
| 409 |
},
|
| 410 |
{
|
| 411 |
-
"epoch": 0.
|
| 412 |
-
"grad_norm":
|
| 413 |
-
"learning_rate": 0.
|
| 414 |
-
"loss":
|
| 415 |
"step": 285
|
| 416 |
},
|
| 417 |
{
|
| 418 |
-
"epoch": 0.
|
| 419 |
-
"grad_norm": 0.
|
| 420 |
-
"learning_rate": 0.
|
| 421 |
-
"loss":
|
| 422 |
"step": 290
|
| 423 |
},
|
| 424 |
{
|
| 425 |
-
"epoch": 0.
|
| 426 |
-
"grad_norm":
|
| 427 |
-
"learning_rate": 0.
|
| 428 |
-
"loss":
|
| 429 |
"step": 295
|
| 430 |
},
|
| 431 |
{
|
| 432 |
-
"epoch": 0.
|
| 433 |
-
"grad_norm": 0.
|
| 434 |
-
"learning_rate": 0.
|
| 435 |
-
"loss":
|
| 436 |
"step": 300
|
| 437 |
},
|
| 438 |
{
|
| 439 |
-
"epoch": 0.
|
| 440 |
-
"grad_norm": 1.
|
| 441 |
-
"learning_rate": 0.
|
| 442 |
-
"loss":
|
| 443 |
"step": 305
|
| 444 |
},
|
| 445 |
{
|
| 446 |
-
"epoch": 0.
|
| 447 |
-
"grad_norm":
|
| 448 |
-
"learning_rate": 0.
|
| 449 |
-
"loss":
|
| 450 |
"step": 310
|
| 451 |
},
|
| 452 |
{
|
| 453 |
-
"epoch": 0.
|
| 454 |
-
"grad_norm":
|
| 455 |
-
"learning_rate": 0.
|
| 456 |
-
"loss":
|
| 457 |
"step": 315
|
| 458 |
},
|
| 459 |
{
|
| 460 |
-
"epoch": 0.
|
| 461 |
-
"grad_norm": 0.
|
| 462 |
-
"learning_rate": 0.
|
| 463 |
-
"loss":
|
| 464 |
"step": 320
|
| 465 |
},
|
| 466 |
{
|
| 467 |
-
"epoch": 0.
|
| 468 |
-
"grad_norm":
|
| 469 |
-
"learning_rate": 0.
|
| 470 |
-
"loss":
|
| 471 |
"step": 325
|
| 472 |
},
|
| 473 |
{
|
| 474 |
-
"epoch": 0.
|
| 475 |
-
"grad_norm":
|
| 476 |
-
"learning_rate": 0.
|
| 477 |
-
"loss":
|
| 478 |
"step": 330
|
| 479 |
},
|
| 480 |
{
|
| 481 |
-
"epoch": 0.
|
| 482 |
-
"grad_norm": 0.
|
| 483 |
-
"learning_rate": 0.
|
| 484 |
-
"loss":
|
| 485 |
"step": 335
|
| 486 |
},
|
| 487 |
{
|
| 488 |
-
"epoch": 0.
|
| 489 |
-
"grad_norm": 0.
|
| 490 |
-
"learning_rate": 0.
|
| 491 |
-
"loss":
|
| 492 |
"step": 340
|
| 493 |
},
|
| 494 |
{
|
| 495 |
-
"epoch": 0.
|
| 496 |
-
"grad_norm":
|
| 497 |
-
"learning_rate": 0.
|
| 498 |
-
"loss":
|
| 499 |
"step": 345
|
| 500 |
},
|
| 501 |
{
|
| 502 |
-
"epoch": 0.
|
| 503 |
-
"grad_norm": 0.
|
| 504 |
-
"learning_rate": 0.
|
| 505 |
-
"loss":
|
| 506 |
"step": 350
|
| 507 |
},
|
| 508 |
{
|
| 509 |
-
"epoch": 0.
|
| 510 |
-
"grad_norm": 0.
|
| 511 |
-
"learning_rate": 0.
|
| 512 |
-
"loss":
|
| 513 |
"step": 355
|
| 514 |
},
|
| 515 |
{
|
| 516 |
-
"epoch": 0.
|
| 517 |
-
"grad_norm": 0.
|
| 518 |
-
"learning_rate": 0.
|
| 519 |
-
"loss":
|
| 520 |
"step": 360
|
| 521 |
},
|
| 522 |
{
|
| 523 |
-
"epoch": 0.
|
| 524 |
-
"grad_norm": 0.
|
| 525 |
-
"learning_rate": 0.
|
| 526 |
-
"loss":
|
| 527 |
"step": 365
|
| 528 |
},
|
| 529 |
{
|
| 530 |
-
"epoch": 0.
|
| 531 |
-
"grad_norm":
|
| 532 |
-
"learning_rate": 0.
|
| 533 |
-
"loss":
|
| 534 |
"step": 370
|
| 535 |
},
|
| 536 |
{
|
| 537 |
-
"epoch": 0.
|
| 538 |
-
"grad_norm": 0.
|
| 539 |
-
"learning_rate": 0.
|
| 540 |
-
"loss":
|
| 541 |
"step": 375
|
| 542 |
},
|
| 543 |
{
|
| 544 |
-
"epoch": 0.
|
| 545 |
-
"grad_norm": 0.
|
| 546 |
-
"learning_rate": 0.
|
| 547 |
-
"loss":
|
| 548 |
"step": 380
|
| 549 |
},
|
| 550 |
{
|
| 551 |
-
"epoch": 0.
|
| 552 |
-
"grad_norm":
|
| 553 |
-
"learning_rate": 0.
|
| 554 |
-
"loss":
|
| 555 |
"step": 385
|
| 556 |
},
|
| 557 |
{
|
| 558 |
-
"epoch": 0.
|
| 559 |
-
"grad_norm": 0.
|
| 560 |
-
"learning_rate": 0.
|
| 561 |
-
"loss":
|
| 562 |
"step": 390
|
| 563 |
},
|
| 564 |
{
|
| 565 |
-
"epoch": 0.
|
| 566 |
-
"grad_norm":
|
| 567 |
-
"learning_rate": 0.
|
| 568 |
-
"loss":
|
| 569 |
"step": 395
|
| 570 |
},
|
| 571 |
{
|
| 572 |
-
"epoch": 0.
|
| 573 |
-
"grad_norm": 0.
|
| 574 |
-
"learning_rate": 0.
|
| 575 |
-
"loss":
|
| 576 |
"step": 400
|
| 577 |
},
|
| 578 |
{
|
| 579 |
-
"epoch": 0.
|
| 580 |
-
"grad_norm":
|
| 581 |
-
"learning_rate": 0.
|
| 582 |
-
"loss":
|
| 583 |
"step": 405
|
| 584 |
},
|
| 585 |
{
|
| 586 |
-
"epoch": 0.
|
| 587 |
-
"grad_norm": 0.
|
| 588 |
-
"learning_rate": 0.
|
| 589 |
-
"loss":
|
| 590 |
"step": 410
|
| 591 |
},
|
| 592 |
{
|
| 593 |
-
"epoch": 0.
|
| 594 |
-
"grad_norm":
|
| 595 |
-
"learning_rate": 0.
|
| 596 |
-
"loss":
|
| 597 |
"step": 415
|
| 598 |
},
|
| 599 |
{
|
| 600 |
-
"epoch": 0.
|
| 601 |
-
"grad_norm": 0.
|
| 602 |
-
"learning_rate": 0.
|
| 603 |
-
"loss":
|
| 604 |
"step": 420
|
| 605 |
},
|
| 606 |
{
|
| 607 |
-
"epoch": 0.
|
| 608 |
-
"grad_norm": 0.
|
| 609 |
-
"learning_rate": 0.
|
| 610 |
-
"loss":
|
| 611 |
"step": 425
|
| 612 |
},
|
| 613 |
{
|
| 614 |
-
"epoch": 0.
|
| 615 |
-
"grad_norm": 0.
|
| 616 |
-
"learning_rate": 0.
|
| 617 |
-
"loss":
|
| 618 |
"step": 430
|
| 619 |
},
|
| 620 |
{
|
| 621 |
-
"epoch": 0.
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
-
"learning_rate": 0.
|
| 624 |
-
"loss":
|
| 625 |
"step": 435
|
| 626 |
},
|
| 627 |
{
|
| 628 |
-
"epoch": 0.
|
| 629 |
-
"grad_norm":
|
| 630 |
-
"learning_rate": 0.
|
| 631 |
-
"loss":
|
| 632 |
"step": 440
|
| 633 |
},
|
| 634 |
{
|
| 635 |
-
"epoch": 0.
|
| 636 |
-
"grad_norm": 0.
|
| 637 |
-
"learning_rate": 0.
|
| 638 |
-
"loss":
|
| 639 |
"step": 445
|
| 640 |
},
|
| 641 |
{
|
| 642 |
-
"epoch": 0.
|
| 643 |
-
"grad_norm": 0.
|
| 644 |
-
"learning_rate": 0.
|
| 645 |
-
"loss":
|
| 646 |
"step": 450
|
| 647 |
},
|
| 648 |
{
|
| 649 |
-
"epoch": 0.
|
| 650 |
-
"grad_norm": 0.
|
| 651 |
-
"learning_rate": 0.
|
| 652 |
-
"loss":
|
| 653 |
"step": 455
|
| 654 |
},
|
| 655 |
{
|
| 656 |
-
"epoch": 0.
|
| 657 |
-
"grad_norm": 0.
|
| 658 |
-
"learning_rate": 0.
|
| 659 |
-
"loss":
|
| 660 |
"step": 460
|
| 661 |
},
|
| 662 |
{
|
| 663 |
-
"epoch": 0.
|
| 664 |
-
"grad_norm": 0.
|
| 665 |
-
"learning_rate": 0.
|
| 666 |
-
"loss":
|
| 667 |
"step": 465
|
| 668 |
},
|
| 669 |
{
|
| 670 |
-
"epoch": 0.
|
| 671 |
-
"grad_norm": 0.
|
| 672 |
-
"learning_rate": 0.
|
| 673 |
-
"loss":
|
| 674 |
"step": 470
|
| 675 |
},
|
| 676 |
{
|
| 677 |
-
"epoch": 0.
|
| 678 |
-
"grad_norm": 0.
|
| 679 |
-
"learning_rate": 0.
|
| 680 |
-
"loss":
|
| 681 |
"step": 475
|
| 682 |
},
|
| 683 |
{
|
| 684 |
-
"epoch": 0.
|
| 685 |
-
"grad_norm": 0.
|
| 686 |
-
"learning_rate": 0.
|
| 687 |
-
"loss":
|
| 688 |
"step": 480
|
| 689 |
},
|
| 690 |
{
|
| 691 |
-
"epoch": 0.
|
| 692 |
-
"grad_norm": 0.
|
| 693 |
-
"learning_rate": 0.
|
| 694 |
-
"loss":
|
| 695 |
"step": 485
|
| 696 |
},
|
| 697 |
{
|
| 698 |
-
"epoch": 0.
|
| 699 |
-
"grad_norm": 0.
|
| 700 |
-
"learning_rate": 0.
|
| 701 |
-
"loss":
|
| 702 |
"step": 490
|
| 703 |
},
|
| 704 |
{
|
| 705 |
-
"epoch": 0.
|
| 706 |
-
"grad_norm": 0.
|
| 707 |
-
"learning_rate": 0.
|
| 708 |
-
"loss":
|
| 709 |
"step": 495
|
| 710 |
},
|
| 711 |
{
|
| 712 |
-
"epoch": 0.
|
| 713 |
-
"grad_norm": 0.
|
| 714 |
-
"learning_rate": 0.
|
| 715 |
-
"loss":
|
| 716 |
"step": 500
|
| 717 |
},
|
| 718 |
{
|
| 719 |
-
"epoch": 0.
|
| 720 |
-
"grad_norm": 0.
|
| 721 |
-
"learning_rate": 0.
|
| 722 |
-
"loss":
|
| 723 |
"step": 505
|
| 724 |
},
|
| 725 |
{
|
| 726 |
-
"epoch": 0.
|
| 727 |
-
"grad_norm": 0.
|
| 728 |
-
"learning_rate": 0.
|
| 729 |
-
"loss":
|
| 730 |
"step": 510
|
| 731 |
},
|
| 732 |
{
|
| 733 |
-
"epoch": 0.
|
| 734 |
-
"grad_norm": 0.
|
| 735 |
-
"learning_rate": 0.
|
| 736 |
-
"loss":
|
| 737 |
"step": 515
|
| 738 |
},
|
| 739 |
{
|
| 740 |
-
"epoch": 0.
|
| 741 |
-
"grad_norm": 0.
|
| 742 |
-
"learning_rate": 0.
|
| 743 |
-
"loss":
|
| 744 |
"step": 520
|
| 745 |
},
|
| 746 |
{
|
| 747 |
-
"epoch": 0.
|
| 748 |
-
"grad_norm": 0.
|
| 749 |
-
"learning_rate": 0.
|
| 750 |
-
"loss":
|
| 751 |
"step": 525
|
| 752 |
},
|
| 753 |
{
|
| 754 |
-
"epoch": 0.
|
| 755 |
-
"grad_norm": 0.
|
| 756 |
-
"learning_rate": 0.
|
| 757 |
-
"loss":
|
| 758 |
"step": 530
|
| 759 |
},
|
| 760 |
{
|
| 761 |
-
"epoch": 0.
|
| 762 |
-
"grad_norm": 0.
|
| 763 |
-
"learning_rate": 0.
|
| 764 |
-
"loss":
|
| 765 |
"step": 535
|
| 766 |
},
|
| 767 |
{
|
| 768 |
-
"epoch": 0.
|
| 769 |
-
"grad_norm": 0.
|
| 770 |
-
"learning_rate": 0.
|
| 771 |
-
"loss":
|
| 772 |
"step": 540
|
| 773 |
},
|
| 774 |
{
|
| 775 |
-
"epoch": 0.
|
| 776 |
-
"grad_norm": 0.
|
| 777 |
-
"learning_rate": 0.
|
| 778 |
-
"loss":
|
| 779 |
"step": 545
|
| 780 |
},
|
| 781 |
{
|
| 782 |
-
"epoch": 0.
|
| 783 |
-
"grad_norm": 0.
|
| 784 |
-
"learning_rate": 0.
|
| 785 |
-
"loss":
|
| 786 |
"step": 550
|
| 787 |
},
|
| 788 |
{
|
| 789 |
-
"epoch": 0.
|
| 790 |
-
"grad_norm":
|
| 791 |
-
"learning_rate": 0.
|
| 792 |
-
"loss":
|
| 793 |
"step": 555
|
| 794 |
},
|
| 795 |
{
|
| 796 |
-
"epoch": 0.
|
| 797 |
-
"grad_norm": 0.
|
| 798 |
-
"learning_rate": 0.
|
| 799 |
-
"loss":
|
| 800 |
"step": 560
|
| 801 |
},
|
| 802 |
{
|
| 803 |
-
"epoch": 0.
|
| 804 |
-
"grad_norm":
|
| 805 |
-
"learning_rate": 0.
|
| 806 |
-
"loss":
|
| 807 |
"step": 565
|
| 808 |
},
|
| 809 |
{
|
| 810 |
-
"epoch": 0.
|
| 811 |
-
"grad_norm":
|
| 812 |
-
"learning_rate": 0.
|
| 813 |
-
"loss":
|
| 814 |
"step": 570
|
| 815 |
},
|
| 816 |
{
|
| 817 |
-
"epoch": 0.
|
| 818 |
-
"grad_norm":
|
| 819 |
-
"learning_rate": 0.
|
| 820 |
-
"loss":
|
| 821 |
"step": 575
|
| 822 |
},
|
| 823 |
{
|
| 824 |
-
"epoch": 0.
|
| 825 |
-
"grad_norm": 0.
|
| 826 |
-
"learning_rate": 0.
|
| 827 |
-
"loss":
|
| 828 |
"step": 580
|
| 829 |
},
|
| 830 |
{
|
| 831 |
-
"epoch": 0.
|
| 832 |
-
"grad_norm": 0.
|
| 833 |
-
"learning_rate": 0.
|
| 834 |
-
"loss":
|
| 835 |
"step": 585
|
| 836 |
},
|
| 837 |
{
|
| 838 |
-
"epoch": 0.
|
| 839 |
-
"grad_norm": 0.
|
| 840 |
-
"learning_rate": 0.
|
| 841 |
-
"loss":
|
| 842 |
"step": 590
|
| 843 |
},
|
| 844 |
{
|
| 845 |
-
"epoch": 0
|
| 846 |
-
"grad_norm": 0.
|
| 847 |
-
"learning_rate": 0.
|
| 848 |
-
"loss":
|
| 849 |
"step": 595
|
| 850 |
},
|
| 851 |
{
|
| 852 |
-
"epoch":
|
| 853 |
-
"grad_norm": 0.
|
| 854 |
-
"learning_rate": 0.
|
| 855 |
-
"loss":
|
| 856 |
"step": 600
|
| 857 |
},
|
| 858 |
{
|
| 859 |
-
"epoch":
|
| 860 |
-
"grad_norm":
|
| 861 |
-
"learning_rate": 0.
|
| 862 |
-
"loss":
|
| 863 |
"step": 605
|
| 864 |
},
|
| 865 |
{
|
| 866 |
-
"epoch":
|
| 867 |
-
"grad_norm": 0.
|
| 868 |
-
"learning_rate": 0.
|
| 869 |
-
"loss":
|
| 870 |
"step": 610
|
| 871 |
},
|
| 872 |
{
|
| 873 |
-
"epoch":
|
| 874 |
-
"grad_norm": 0.
|
| 875 |
-
"learning_rate": 0.
|
| 876 |
-
"loss":
|
| 877 |
"step": 615
|
| 878 |
},
|
| 879 |
{
|
| 880 |
-
"epoch":
|
| 881 |
-
"grad_norm": 0.
|
| 882 |
-
"learning_rate": 0.
|
| 883 |
-
"loss":
|
| 884 |
"step": 620
|
| 885 |
},
|
| 886 |
{
|
| 887 |
-
"epoch":
|
| 888 |
-
"grad_norm": 0.
|
| 889 |
-
"learning_rate": 0.
|
| 890 |
-
"loss":
|
| 891 |
"step": 625
|
| 892 |
},
|
| 893 |
{
|
| 894 |
-
"epoch":
|
| 895 |
-
"grad_norm": 0.
|
| 896 |
-
"learning_rate": 0.
|
| 897 |
-
"loss":
|
| 898 |
"step": 630
|
| 899 |
},
|
| 900 |
{
|
| 901 |
-
"epoch":
|
| 902 |
-
"grad_norm": 0.
|
| 903 |
-
"learning_rate": 0.
|
| 904 |
-
"loss":
|
| 905 |
"step": 635
|
| 906 |
},
|
| 907 |
{
|
| 908 |
-
"epoch":
|
| 909 |
-
"grad_norm": 0.
|
| 910 |
-
"learning_rate": 0.
|
| 911 |
-
"loss":
|
| 912 |
"step": 640
|
| 913 |
},
|
| 914 |
{
|
| 915 |
-
"epoch":
|
| 916 |
-
"grad_norm": 0.
|
| 917 |
-
"learning_rate": 0.
|
| 918 |
-
"loss":
|
| 919 |
"step": 645
|
| 920 |
},
|
| 921 |
{
|
| 922 |
-
"epoch":
|
| 923 |
-
"grad_norm": 0.
|
| 924 |
-
"learning_rate": 0.
|
| 925 |
-
"loss":
|
| 926 |
"step": 650
|
| 927 |
},
|
| 928 |
{
|
| 929 |
-
"epoch":
|
| 930 |
-
"grad_norm": 0.
|
| 931 |
-
"learning_rate": 0.
|
| 932 |
-
"loss":
|
| 933 |
"step": 655
|
| 934 |
},
|
| 935 |
{
|
| 936 |
-
"epoch":
|
| 937 |
-
"grad_norm": 0.
|
| 938 |
-
"learning_rate": 0.
|
| 939 |
-
"loss":
|
| 940 |
"step": 660
|
| 941 |
},
|
| 942 |
{
|
| 943 |
-
"epoch":
|
| 944 |
-
"grad_norm": 0.
|
| 945 |
-
"learning_rate": 0.
|
| 946 |
-
"loss":
|
| 947 |
"step": 665
|
| 948 |
},
|
| 949 |
{
|
| 950 |
-
"epoch":
|
| 951 |
-
"grad_norm": 0.
|
| 952 |
-
"learning_rate": 0.
|
| 953 |
-
"loss":
|
| 954 |
"step": 670
|
| 955 |
},
|
| 956 |
{
|
| 957 |
-
"epoch":
|
| 958 |
-
"grad_norm": 0.
|
| 959 |
-
"learning_rate": 0.
|
| 960 |
-
"loss":
|
| 961 |
"step": 675
|
| 962 |
},
|
| 963 |
{
|
| 964 |
-
"epoch":
|
| 965 |
-
"grad_norm": 0.
|
| 966 |
-
"learning_rate": 0.
|
| 967 |
-
"loss":
|
| 968 |
"step": 680
|
| 969 |
},
|
| 970 |
{
|
| 971 |
-
"epoch":
|
| 972 |
-
"grad_norm": 0.
|
| 973 |
-
"learning_rate": 0.
|
| 974 |
-
"loss":
|
| 975 |
"step": 685
|
| 976 |
},
|
| 977 |
{
|
| 978 |
-
"epoch":
|
| 979 |
-
"grad_norm": 0.
|
| 980 |
-
"learning_rate": 0.
|
| 981 |
-
"loss":
|
| 982 |
"step": 690
|
| 983 |
},
|
| 984 |
{
|
| 985 |
-
"epoch":
|
| 986 |
-
"grad_norm": 0.
|
| 987 |
-
"learning_rate": 0.
|
| 988 |
-
"loss":
|
| 989 |
"step": 695
|
| 990 |
},
|
| 991 |
{
|
| 992 |
-
"epoch":
|
| 993 |
-
"grad_norm": 0.
|
| 994 |
-
"learning_rate": 0.
|
| 995 |
-
"loss":
|
| 996 |
"step": 700
|
| 997 |
},
|
| 998 |
{
|
| 999 |
-
"epoch":
|
| 1000 |
-
"grad_norm": 0.
|
| 1001 |
-
"learning_rate": 0.
|
| 1002 |
-
"loss":
|
| 1003 |
"step": 705
|
| 1004 |
},
|
| 1005 |
{
|
| 1006 |
-
"epoch":
|
| 1007 |
-
"grad_norm": 0.
|
| 1008 |
-
"learning_rate": 0.
|
| 1009 |
-
"loss":
|
| 1010 |
"step": 710
|
| 1011 |
},
|
| 1012 |
{
|
| 1013 |
-
"epoch":
|
| 1014 |
-
"grad_norm": 0.
|
| 1015 |
-
"learning_rate": 0.
|
| 1016 |
-
"loss":
|
| 1017 |
"step": 715
|
| 1018 |
},
|
| 1019 |
{
|
| 1020 |
-
"epoch":
|
| 1021 |
-
"grad_norm": 0.
|
| 1022 |
-
"learning_rate": 0.
|
| 1023 |
-
"loss":
|
| 1024 |
"step": 720
|
| 1025 |
},
|
| 1026 |
{
|
| 1027 |
-
"epoch":
|
| 1028 |
-
"grad_norm": 0.
|
| 1029 |
-
"learning_rate": 0.
|
| 1030 |
-
"loss":
|
| 1031 |
"step": 725
|
| 1032 |
},
|
| 1033 |
{
|
| 1034 |
-
"epoch":
|
| 1035 |
-
"grad_norm": 0.
|
| 1036 |
-
"learning_rate": 0.
|
| 1037 |
-
"loss":
|
| 1038 |
"step": 730
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
-
"epoch":
|
| 1042 |
-
"grad_norm": 0.
|
| 1043 |
-
"learning_rate": 0.
|
| 1044 |
-
"loss":
|
| 1045 |
"step": 735
|
| 1046 |
},
|
| 1047 |
{
|
| 1048 |
-
"epoch":
|
| 1049 |
-
"grad_norm": 0.
|
| 1050 |
-
"learning_rate": 0.
|
| 1051 |
-
"loss":
|
| 1052 |
"step": 740
|
| 1053 |
},
|
| 1054 |
{
|
| 1055 |
-
"epoch":
|
| 1056 |
-
"grad_norm": 0.
|
| 1057 |
-
"learning_rate": 0.
|
| 1058 |
-
"loss":
|
| 1059 |
"step": 745
|
| 1060 |
},
|
| 1061 |
{
|
| 1062 |
-
"epoch":
|
| 1063 |
-
"grad_norm": 0.
|
| 1064 |
-
"learning_rate": 0.
|
| 1065 |
-
"loss":
|
| 1066 |
"step": 750
|
| 1067 |
},
|
| 1068 |
{
|
| 1069 |
-
"epoch":
|
| 1070 |
-
"grad_norm": 0.
|
| 1071 |
-
"learning_rate": 0.
|
| 1072 |
-
"loss":
|
| 1073 |
"step": 755
|
| 1074 |
},
|
| 1075 |
{
|
| 1076 |
-
"epoch":
|
| 1077 |
-
"grad_norm":
|
| 1078 |
-
"learning_rate": 0.
|
| 1079 |
-
"loss":
|
| 1080 |
"step": 760
|
| 1081 |
},
|
| 1082 |
{
|
| 1083 |
-
"epoch":
|
| 1084 |
-
"grad_norm": 0.
|
| 1085 |
-
"learning_rate": 0.
|
| 1086 |
-
"loss":
|
| 1087 |
"step": 765
|
| 1088 |
},
|
| 1089 |
{
|
| 1090 |
-
"epoch":
|
| 1091 |
-
"grad_norm": 0.
|
| 1092 |
-
"learning_rate":
|
| 1093 |
-
"loss":
|
| 1094 |
"step": 770
|
| 1095 |
},
|
| 1096 |
{
|
| 1097 |
-
"epoch":
|
| 1098 |
-
"grad_norm": 0.
|
| 1099 |
-
"learning_rate":
|
| 1100 |
-
"loss":
|
| 1101 |
"step": 775
|
| 1102 |
},
|
| 1103 |
{
|
| 1104 |
-
"epoch":
|
| 1105 |
-
"grad_norm": 0.
|
| 1106 |
-
"learning_rate":
|
| 1107 |
-
"loss":
|
| 1108 |
"step": 780
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
-
"epoch":
|
| 1112 |
-
"grad_norm": 0.
|
| 1113 |
-
"learning_rate":
|
| 1114 |
-
"loss":
|
| 1115 |
"step": 785
|
| 1116 |
},
|
| 1117 |
{
|
| 1118 |
-
"epoch":
|
| 1119 |
-
"grad_norm": 0.
|
| 1120 |
-
"learning_rate":
|
| 1121 |
-
"loss":
|
| 1122 |
"step": 790
|
| 1123 |
},
|
| 1124 |
{
|
| 1125 |
-
"epoch": 1.
|
| 1126 |
-
"grad_norm": 0.
|
| 1127 |
-
"learning_rate":
|
| 1128 |
-
"loss":
|
| 1129 |
"step": 795
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
-
"epoch": 1.
|
| 1133 |
-
"grad_norm": 0.
|
| 1134 |
-
"learning_rate":
|
| 1135 |
-
"loss":
|
| 1136 |
"step": 800
|
| 1137 |
},
|
| 1138 |
{
|
| 1139 |
-
"epoch": 1.
|
| 1140 |
-
"grad_norm": 0.
|
| 1141 |
-
"learning_rate":
|
| 1142 |
-
"loss":
|
| 1143 |
"step": 805
|
| 1144 |
},
|
| 1145 |
{
|
| 1146 |
-
"epoch": 1.
|
| 1147 |
-
"grad_norm": 0.
|
| 1148 |
-
"learning_rate":
|
| 1149 |
-
"loss":
|
| 1150 |
"step": 810
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
-
"epoch": 1.
|
| 1154 |
-
"grad_norm": 0.
|
| 1155 |
-
"learning_rate":
|
| 1156 |
-
"loss":
|
| 1157 |
"step": 815
|
| 1158 |
},
|
| 1159 |
{
|
| 1160 |
-
"epoch": 1.
|
| 1161 |
-
"grad_norm": 0.
|
| 1162 |
-
"learning_rate":
|
| 1163 |
-
"loss":
|
| 1164 |
"step": 820
|
| 1165 |
},
|
| 1166 |
{
|
| 1167 |
-
"epoch": 1.
|
| 1168 |
-
"grad_norm": 0.
|
| 1169 |
-
"learning_rate":
|
| 1170 |
-
"loss":
|
| 1171 |
"step": 825
|
| 1172 |
},
|
| 1173 |
{
|
| 1174 |
-
"epoch": 1.
|
| 1175 |
-
"grad_norm": 0.
|
| 1176 |
-
"learning_rate":
|
| 1177 |
-
"loss":
|
| 1178 |
"step": 830
|
| 1179 |
},
|
| 1180 |
{
|
| 1181 |
-
"epoch": 1.
|
| 1182 |
-
"grad_norm": 0.
|
| 1183 |
-
"learning_rate":
|
| 1184 |
-
"loss":
|
| 1185 |
"step": 835
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
-
"epoch": 1.
|
| 1189 |
-
"grad_norm": 0.
|
| 1190 |
-
"learning_rate":
|
| 1191 |
-
"loss":
|
| 1192 |
"step": 840
|
| 1193 |
},
|
| 1194 |
{
|
| 1195 |
-
"epoch": 1.
|
| 1196 |
-
"grad_norm": 0.
|
| 1197 |
-
"learning_rate":
|
| 1198 |
-
"loss":
|
| 1199 |
"step": 845
|
| 1200 |
},
|
| 1201 |
{
|
| 1202 |
-
"epoch": 1.
|
| 1203 |
-
"grad_norm": 0.
|
| 1204 |
-
"learning_rate":
|
| 1205 |
-
"loss":
|
| 1206 |
"step": 850
|
| 1207 |
},
|
| 1208 |
{
|
| 1209 |
-
"epoch": 1.
|
| 1210 |
-
"grad_norm": 0.
|
| 1211 |
-
"learning_rate":
|
| 1212 |
-
"loss":
|
| 1213 |
"step": 855
|
| 1214 |
},
|
| 1215 |
{
|
| 1216 |
-
"epoch": 1.
|
| 1217 |
-
"grad_norm": 0.
|
| 1218 |
-
"learning_rate":
|
| 1219 |
-
"loss":
|
| 1220 |
"step": 860
|
| 1221 |
},
|
| 1222 |
{
|
| 1223 |
-
"epoch": 1.
|
| 1224 |
-
"grad_norm": 0.
|
| 1225 |
-
"learning_rate":
|
| 1226 |
-
"loss":
|
| 1227 |
"step": 865
|
| 1228 |
},
|
| 1229 |
{
|
| 1230 |
-
"epoch": 1.
|
| 1231 |
-
"grad_norm": 0.
|
| 1232 |
-
"learning_rate":
|
| 1233 |
-
"loss":
|
| 1234 |
"step": 870
|
| 1235 |
},
|
| 1236 |
{
|
| 1237 |
-
"epoch": 1.
|
| 1238 |
-
"grad_norm": 0.
|
| 1239 |
-
"learning_rate":
|
| 1240 |
-
"loss":
|
| 1241 |
"step": 875
|
| 1242 |
},
|
| 1243 |
{
|
| 1244 |
-
"epoch": 1.
|
| 1245 |
-
"grad_norm":
|
| 1246 |
-
"learning_rate":
|
| 1247 |
-
"loss":
|
| 1248 |
"step": 880
|
| 1249 |
},
|
| 1250 |
{
|
| 1251 |
-
"epoch": 1.
|
| 1252 |
-
"grad_norm": 0.
|
| 1253 |
-
"learning_rate":
|
| 1254 |
-
"loss":
|
| 1255 |
"step": 885
|
| 1256 |
},
|
| 1257 |
{
|
| 1258 |
-
"epoch": 1.
|
| 1259 |
-
"grad_norm": 0.
|
| 1260 |
-
"learning_rate":
|
| 1261 |
-
"loss":
|
| 1262 |
"step": 890
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
-
"epoch": 1.
|
| 1266 |
-
"grad_norm": 0.
|
| 1267 |
-
"learning_rate":
|
| 1268 |
-
"loss":
|
| 1269 |
"step": 895
|
| 1270 |
},
|
| 1271 |
{
|
| 1272 |
-
"epoch": 1.
|
| 1273 |
-
"grad_norm": 0.
|
| 1274 |
-
"learning_rate":
|
| 1275 |
-
"loss":
|
| 1276 |
"step": 900
|
| 1277 |
},
|
| 1278 |
{
|
| 1279 |
-
"epoch": 1.
|
| 1280 |
-
"grad_norm": 0.
|
| 1281 |
-
"learning_rate":
|
| 1282 |
-
"loss":
|
| 1283 |
"step": 905
|
| 1284 |
},
|
| 1285 |
{
|
| 1286 |
-
"epoch": 1.
|
| 1287 |
-
"grad_norm": 0.
|
| 1288 |
-
"learning_rate":
|
| 1289 |
-
"loss":
|
| 1290 |
"step": 910
|
| 1291 |
},
|
| 1292 |
{
|
| 1293 |
-
"epoch": 1.
|
| 1294 |
-
"grad_norm": 0.
|
| 1295 |
-
"learning_rate":
|
| 1296 |
-
"loss":
|
| 1297 |
"step": 915
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
-
"epoch": 1.
|
| 1301 |
-
"grad_norm": 0.
|
| 1302 |
-
"learning_rate":
|
| 1303 |
-
"loss":
|
| 1304 |
"step": 920
|
| 1305 |
},
|
| 1306 |
{
|
| 1307 |
-
"epoch": 1.
|
| 1308 |
-
"grad_norm": 0.
|
| 1309 |
-
"learning_rate":
|
| 1310 |
-
"loss":
|
| 1311 |
"step": 925
|
| 1312 |
},
|
| 1313 |
{
|
| 1314 |
-
"epoch": 1.
|
| 1315 |
-
"grad_norm": 0.
|
| 1316 |
-
"learning_rate":
|
| 1317 |
-
"loss":
|
| 1318 |
"step": 930
|
| 1319 |
},
|
| 1320 |
{
|
| 1321 |
-
"epoch": 1.
|
| 1322 |
-
"grad_norm": 0.
|
| 1323 |
-
"learning_rate":
|
| 1324 |
-
"loss":
|
| 1325 |
"step": 935
|
| 1326 |
},
|
| 1327 |
{
|
| 1328 |
-
"epoch": 1.
|
| 1329 |
-
"grad_norm": 0.
|
| 1330 |
-
"learning_rate":
|
| 1331 |
-
"loss":
|
| 1332 |
"step": 940
|
| 1333 |
},
|
| 1334 |
{
|
| 1335 |
-
"epoch": 1.
|
| 1336 |
-
"grad_norm": 0.
|
| 1337 |
-
"learning_rate":
|
| 1338 |
-
"loss":
|
| 1339 |
"step": 945
|
| 1340 |
},
|
| 1341 |
{
|
| 1342 |
-
"epoch": 1.
|
| 1343 |
-
"grad_norm": 0.
|
| 1344 |
-
"learning_rate":
|
| 1345 |
-
"loss":
|
| 1346 |
"step": 950
|
| 1347 |
},
|
| 1348 |
{
|
| 1349 |
-
"epoch": 1.
|
| 1350 |
-
"grad_norm": 0.
|
| 1351 |
-
"learning_rate":
|
| 1352 |
-
"loss":
|
| 1353 |
"step": 955
|
| 1354 |
},
|
| 1355 |
{
|
| 1356 |
-
"epoch": 1.
|
| 1357 |
-
"grad_norm": 0.
|
| 1358 |
-
"learning_rate":
|
| 1359 |
-
"loss":
|
| 1360 |
"step": 960
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
-
"epoch": 1.
|
| 1364 |
-
"grad_norm": 0.
|
| 1365 |
-
"learning_rate":
|
| 1366 |
-
"loss":
|
| 1367 |
"step": 965
|
| 1368 |
},
|
| 1369 |
{
|
| 1370 |
-
"epoch": 1.
|
| 1371 |
-
"grad_norm": 0.
|
| 1372 |
-
"learning_rate":
|
| 1373 |
-
"loss":
|
| 1374 |
"step": 970
|
| 1375 |
},
|
| 1376 |
{
|
| 1377 |
-
"epoch": 1.
|
| 1378 |
-
"grad_norm": 0.
|
| 1379 |
-
"learning_rate":
|
| 1380 |
-
"loss":
|
| 1381 |
"step": 975
|
| 1382 |
},
|
| 1383 |
{
|
| 1384 |
-
"epoch": 1.
|
| 1385 |
-
"grad_norm": 0.
|
| 1386 |
-
"learning_rate":
|
| 1387 |
-
"loss":
|
| 1388 |
"step": 980
|
| 1389 |
},
|
| 1390 |
{
|
| 1391 |
-
"epoch": 1.
|
| 1392 |
-
"grad_norm": 0.
|
| 1393 |
-
"learning_rate":
|
| 1394 |
-
"loss":
|
| 1395 |
"step": 985
|
| 1396 |
},
|
| 1397 |
{
|
| 1398 |
-
"epoch": 1.
|
| 1399 |
-
"grad_norm": 0.
|
| 1400 |
-
"learning_rate":
|
| 1401 |
-
"loss":
|
| 1402 |
"step": 990
|
| 1403 |
},
|
| 1404 |
{
|
| 1405 |
-
"epoch": 1.
|
| 1406 |
-
"grad_norm": 0.
|
| 1407 |
-
"learning_rate":
|
| 1408 |
-
"loss":
|
| 1409 |
"step": 995
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
-
"epoch": 1.
|
| 1413 |
-
"grad_norm": 0.
|
| 1414 |
-
"learning_rate":
|
| 1415 |
-
"loss":
|
| 1416 |
"step": 1000
|
| 1417 |
},
|
| 1418 |
{
|
| 1419 |
-
"epoch": 1.
|
| 1420 |
-
"grad_norm": 0.
|
| 1421 |
-
"learning_rate":
|
| 1422 |
-
"loss":
|
| 1423 |
"step": 1005
|
| 1424 |
},
|
| 1425 |
{
|
| 1426 |
-
"epoch": 1.
|
| 1427 |
-
"grad_norm": 0.
|
| 1428 |
-
"learning_rate":
|
| 1429 |
-
"loss":
|
| 1430 |
"step": 1010
|
| 1431 |
},
|
| 1432 |
{
|
| 1433 |
-
"epoch": 1.
|
| 1434 |
-
"grad_norm": 0.
|
| 1435 |
-
"learning_rate":
|
| 1436 |
-
"loss":
|
| 1437 |
"step": 1015
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
-
"epoch": 1.
|
| 1441 |
-
"grad_norm": 0.
|
| 1442 |
-
"learning_rate":
|
| 1443 |
-
"loss":
|
| 1444 |
"step": 1020
|
| 1445 |
},
|
| 1446 |
{
|
| 1447 |
-
"epoch": 1.
|
| 1448 |
-
"grad_norm": 0.
|
| 1449 |
-
"learning_rate":
|
| 1450 |
-
"loss":
|
| 1451 |
"step": 1025
|
| 1452 |
},
|
| 1453 |
{
|
| 1454 |
-
"epoch": 1.
|
| 1455 |
-
"grad_norm": 0.
|
| 1456 |
-
"learning_rate":
|
| 1457 |
-
"loss":
|
| 1458 |
"step": 1030
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
-
"epoch": 1.
|
| 1462 |
-
"grad_norm": 0.
|
| 1463 |
-
"learning_rate":
|
| 1464 |
-
"loss":
|
| 1465 |
"step": 1035
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
-
"epoch": 1.
|
| 1469 |
-
"grad_norm": 0.
|
| 1470 |
-
"learning_rate":
|
| 1471 |
-
"loss":
|
| 1472 |
"step": 1040
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
-
"epoch": 1.
|
| 1476 |
-
"grad_norm": 0.
|
| 1477 |
-
"learning_rate":
|
| 1478 |
-
"loss":
|
| 1479 |
"step": 1045
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
-
"epoch": 1.
|
| 1483 |
-
"grad_norm": 0.
|
| 1484 |
-
"learning_rate":
|
| 1485 |
-
"loss":
|
| 1486 |
"step": 1050
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
-
"epoch": 1.
|
| 1490 |
-
"grad_norm": 0.
|
| 1491 |
-
"learning_rate":
|
| 1492 |
-
"loss":
|
| 1493 |
"step": 1055
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
-
"epoch": 1.
|
| 1497 |
-
"grad_norm": 0.
|
| 1498 |
-
"learning_rate":
|
| 1499 |
-
"loss":
|
| 1500 |
"step": 1060
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
-
"epoch": 1.
|
| 1504 |
-
"grad_norm": 0.
|
| 1505 |
-
"learning_rate":
|
| 1506 |
-
"loss":
|
| 1507 |
"step": 1065
|
| 1508 |
},
|
| 1509 |
{
|
| 1510 |
-
"epoch": 1.
|
| 1511 |
-
"grad_norm": 0.
|
| 1512 |
-
"learning_rate": 8.
|
| 1513 |
-
"loss":
|
| 1514 |
"step": 1070
|
| 1515 |
},
|
| 1516 |
{
|
| 1517 |
-
"epoch": 1.
|
| 1518 |
-
"grad_norm": 0.
|
| 1519 |
-
"learning_rate": 8.
|
| 1520 |
-
"loss":
|
| 1521 |
"step": 1075
|
| 1522 |
},
|
| 1523 |
{
|
| 1524 |
-
"epoch": 1.
|
| 1525 |
-
"grad_norm": 0.
|
| 1526 |
-
"learning_rate":
|
| 1527 |
-
"loss":
|
| 1528 |
"step": 1080
|
| 1529 |
},
|
| 1530 |
{
|
| 1531 |
-
"epoch": 1.
|
| 1532 |
-
"grad_norm": 0.
|
| 1533 |
-
"learning_rate":
|
| 1534 |
-
"loss":
|
| 1535 |
"step": 1085
|
| 1536 |
},
|
| 1537 |
{
|
| 1538 |
-
"epoch": 1.
|
| 1539 |
-
"grad_norm": 0.
|
| 1540 |
-
"learning_rate":
|
| 1541 |
-
"loss":
|
| 1542 |
"step": 1090
|
| 1543 |
},
|
| 1544 |
{
|
| 1545 |
-
"epoch": 1.
|
| 1546 |
-
"grad_norm": 0.
|
| 1547 |
-
"learning_rate":
|
| 1548 |
-
"loss":
|
| 1549 |
"step": 1095
|
| 1550 |
},
|
| 1551 |
{
|
| 1552 |
-
"epoch": 1.
|
| 1553 |
-
"grad_norm": 0.
|
| 1554 |
-
"learning_rate":
|
| 1555 |
-
"loss":
|
| 1556 |
"step": 1100
|
| 1557 |
},
|
| 1558 |
{
|
| 1559 |
-
"epoch": 1.
|
| 1560 |
-
"grad_norm": 0.
|
| 1561 |
-
"learning_rate":
|
| 1562 |
-
"loss":
|
| 1563 |
"step": 1105
|
| 1564 |
},
|
| 1565 |
{
|
| 1566 |
-
"epoch": 1.
|
| 1567 |
-
"grad_norm": 0.
|
| 1568 |
-
"learning_rate":
|
| 1569 |
-
"loss":
|
| 1570 |
"step": 1110
|
| 1571 |
},
|
| 1572 |
{
|
| 1573 |
-
"epoch": 1.
|
| 1574 |
-
"grad_norm": 0.
|
| 1575 |
-
"learning_rate":
|
| 1576 |
-
"loss":
|
| 1577 |
"step": 1115
|
| 1578 |
},
|
| 1579 |
{
|
| 1580 |
-
"epoch": 1.
|
| 1581 |
-
"grad_norm": 0.
|
| 1582 |
-
"learning_rate":
|
| 1583 |
-
"loss":
|
| 1584 |
"step": 1120
|
| 1585 |
},
|
| 1586 |
{
|
| 1587 |
-
"epoch": 1.
|
| 1588 |
-
"grad_norm": 0.
|
| 1589 |
-
"learning_rate":
|
| 1590 |
-
"loss":
|
| 1591 |
"step": 1125
|
| 1592 |
},
|
| 1593 |
{
|
| 1594 |
-
"epoch": 1.
|
| 1595 |
-
"grad_norm": 0.
|
| 1596 |
-
"learning_rate":
|
| 1597 |
-
"loss":
|
| 1598 |
"step": 1130
|
| 1599 |
},
|
| 1600 |
{
|
| 1601 |
-
"epoch": 1.
|
| 1602 |
-
"grad_norm": 0.
|
| 1603 |
-
"learning_rate":
|
| 1604 |
-
"loss":
|
| 1605 |
"step": 1135
|
| 1606 |
},
|
| 1607 |
{
|
| 1608 |
-
"epoch": 1.
|
| 1609 |
-
"grad_norm": 0.
|
| 1610 |
-
"learning_rate":
|
| 1611 |
-
"loss":
|
| 1612 |
"step": 1140
|
| 1613 |
},
|
| 1614 |
{
|
| 1615 |
-
"epoch": 1.
|
| 1616 |
-
"grad_norm": 0.
|
| 1617 |
-
"learning_rate":
|
| 1618 |
-
"loss":
|
| 1619 |
"step": 1145
|
| 1620 |
},
|
| 1621 |
{
|
| 1622 |
-
"epoch": 1.
|
| 1623 |
-
"grad_norm": 0.
|
| 1624 |
-
"learning_rate":
|
| 1625 |
-
"loss":
|
| 1626 |
"step": 1150
|
| 1627 |
},
|
| 1628 |
{
|
| 1629 |
-
"epoch": 1.
|
| 1630 |
-
"grad_norm": 0.
|
| 1631 |
-
"learning_rate":
|
| 1632 |
-
"loss":
|
| 1633 |
"step": 1155
|
| 1634 |
},
|
| 1635 |
{
|
| 1636 |
-
"epoch": 1.
|
| 1637 |
-
"grad_norm": 0.
|
| 1638 |
-
"learning_rate":
|
| 1639 |
-
"loss":
|
| 1640 |
"step": 1160
|
| 1641 |
},
|
| 1642 |
{
|
| 1643 |
-
"epoch": 1.
|
| 1644 |
-
"grad_norm": 0.
|
| 1645 |
-
"learning_rate":
|
| 1646 |
-
"loss":
|
| 1647 |
"step": 1165
|
| 1648 |
},
|
| 1649 |
{
|
| 1650 |
-
"epoch": 1.
|
| 1651 |
-
"grad_norm": 0.
|
| 1652 |
-
"learning_rate":
|
| 1653 |
-
"loss":
|
| 1654 |
"step": 1170
|
| 1655 |
},
|
| 1656 |
{
|
| 1657 |
-
"epoch": 1.
|
| 1658 |
-
"grad_norm": 0.
|
| 1659 |
-
"learning_rate":
|
| 1660 |
-
"loss":
|
| 1661 |
"step": 1175
|
| 1662 |
},
|
| 1663 |
{
|
| 1664 |
-
"epoch": 1.
|
| 1665 |
-
"grad_norm": 0.
|
| 1666 |
-
"learning_rate":
|
| 1667 |
-
"loss":
|
| 1668 |
"step": 1180
|
| 1669 |
},
|
| 1670 |
{
|
| 1671 |
-
"epoch": 1.
|
| 1672 |
-
"grad_norm": 0.
|
| 1673 |
-
"learning_rate": 5.
|
| 1674 |
-
"loss":
|
| 1675 |
"step": 1185
|
| 1676 |
},
|
| 1677 |
{
|
| 1678 |
-
"epoch": 1.
|
| 1679 |
-
"
|
| 1680 |
-
"
|
| 1681 |
-
"
|
| 1682 |
-
"
|
| 1683 |
-
|
| 1684 |
-
|
| 1685 |
-
"epoch": 1.507255520504732,
|
| 1686 |
-
"grad_norm": 0.1525482068778186,
|
| 1687 |
-
"learning_rate": 5.1861802126740765e-05,
|
| 1688 |
-
"loss": 2.1283,
|
| 1689 |
-
"step": 1195
|
| 1690 |
-
},
|
| 1691 |
-
{
|
| 1692 |
-
"epoch": 1.5135646687697162,
|
| 1693 |
-
"grad_norm": 0.1579695680187345,
|
| 1694 |
-
"learning_rate": 5.0617312984297544e-05,
|
| 1695 |
-
"loss": 2.1336,
|
| 1696 |
-
"step": 1200
|
| 1697 |
-
},
|
| 1698 |
-
{
|
| 1699 |
-
"epoch": 1.5198738170347004,
|
| 1700 |
-
"grad_norm": 0.14455231450713402,
|
| 1701 |
-
"learning_rate": 4.9384899654389214e-05,
|
| 1702 |
-
"loss": 2.121,
|
| 1703 |
-
"step": 1205
|
| 1704 |
-
},
|
| 1705 |
-
{
|
| 1706 |
-
"epoch": 1.5261829652996846,
|
| 1707 |
-
"grad_norm": 0.1495253349240125,
|
| 1708 |
-
"learning_rate": 4.816471188535503e-05,
|
| 1709 |
-
"loss": 2.0602,
|
| 1710 |
-
"step": 1210
|
| 1711 |
-
},
|
| 1712 |
-
{
|
| 1713 |
-
"epoch": 1.5324921135646687,
|
| 1714 |
-
"grad_norm": 0.4456707210896612,
|
| 1715 |
-
"learning_rate": 4.695689794002831e-05,
|
| 1716 |
-
"loss": 2.2148,
|
| 1717 |
-
"step": 1215
|
| 1718 |
-
},
|
| 1719 |
-
{
|
| 1720 |
-
"epoch": 1.538801261829653,
|
| 1721 |
-
"grad_norm": 0.12806001797338484,
|
| 1722 |
-
"learning_rate": 4.5761604577721176e-05,
|
| 1723 |
-
"loss": 2.0928,
|
| 1724 |
-
"step": 1220
|
| 1725 |
-
},
|
| 1726 |
-
{
|
| 1727 |
-
"epoch": 1.5451104100946371,
|
| 1728 |
-
"grad_norm": 0.16676732955115475,
|
| 1729 |
-
"learning_rate": 4.457897703639208e-05,
|
| 1730 |
-
"loss": 2.0774,
|
| 1731 |
-
"step": 1225
|
| 1732 |
-
},
|
| 1733 |
-
{
|
| 1734 |
-
"epoch": 1.5514195583596213,
|
| 1735 |
-
"grad_norm": 0.1412930517579618,
|
| 1736 |
-
"learning_rate": 4.340915901499813e-05,
|
| 1737 |
-
"loss": 2.1857,
|
| 1738 |
-
"step": 1230
|
| 1739 |
-
},
|
| 1740 |
-
{
|
| 1741 |
-
"epoch": 1.5577287066246057,
|
| 1742 |
-
"grad_norm": 0.16064426543465465,
|
| 1743 |
-
"learning_rate": 4.225229265603471e-05,
|
| 1744 |
-
"loss": 2.0963,
|
| 1745 |
-
"step": 1235
|
| 1746 |
-
},
|
| 1747 |
-
{
|
| 1748 |
-
"epoch": 1.56403785488959,
|
| 1749 |
-
"grad_norm": 0.1430616546259629,
|
| 1750 |
-
"learning_rate": 4.110851852826391e-05,
|
| 1751 |
-
"loss": 2.0729,
|
| 1752 |
-
"step": 1240
|
| 1753 |
-
},
|
| 1754 |
-
{
|
| 1755 |
-
"epoch": 1.570347003154574,
|
| 1756 |
-
"grad_norm": 0.14246744072657969,
|
| 1757 |
-
"learning_rate": 3.9977975609634035e-05,
|
| 1758 |
-
"loss": 2.1033,
|
| 1759 |
-
"step": 1245
|
| 1760 |
-
},
|
| 1761 |
-
{
|
| 1762 |
-
"epoch": 1.5766561514195585,
|
| 1763 |
-
"grad_norm": 0.15017155229777918,
|
| 1764 |
-
"learning_rate": 3.886080127039296e-05,
|
| 1765 |
-
"loss": 2.1265,
|
| 1766 |
-
"step": 1250
|
| 1767 |
-
},
|
| 1768 |
-
{
|
| 1769 |
-
"epoch": 1.5829652996845427,
|
| 1770 |
-
"grad_norm": 0.16087886115690112,
|
| 1771 |
-
"learning_rate": 3.775713125639647e-05,
|
| 1772 |
-
"loss": 2.0803,
|
| 1773 |
-
"step": 1255
|
| 1774 |
-
},
|
| 1775 |
-
{
|
| 1776 |
-
"epoch": 1.5892744479495269,
|
| 1777 |
-
"grad_norm": 0.1648280147102689,
|
| 1778 |
-
"learning_rate": 3.666709967261373e-05,
|
| 1779 |
-
"loss": 2.0021,
|
| 1780 |
-
"step": 1260
|
| 1781 |
-
},
|
| 1782 |
-
{
|
| 1783 |
-
"epoch": 1.595583596214511,
|
| 1784 |
-
"grad_norm": 0.13608315931815615,
|
| 1785 |
-
"learning_rate": 3.55908389668328e-05,
|
| 1786 |
-
"loss": 2.1933,
|
| 1787 |
-
"step": 1265
|
| 1788 |
-
},
|
| 1789 |
-
{
|
| 1790 |
-
"epoch": 1.6018927444794953,
|
| 1791 |
-
"grad_norm": 0.12682001843872154,
|
| 1792 |
-
"learning_rate": 3.452847991356698e-05,
|
| 1793 |
-
"loss": 1.9983,
|
| 1794 |
-
"step": 1270
|
| 1795 |
-
},
|
| 1796 |
-
{
|
| 1797 |
-
"epoch": 1.6082018927444794,
|
| 1798 |
-
"grad_norm": 0.15045660085948862,
|
| 1799 |
-
"learning_rate": 3.3480151598164575e-05,
|
| 1800 |
-
"loss": 2.0043,
|
| 1801 |
-
"step": 1275
|
| 1802 |
-
},
|
| 1803 |
-
{
|
| 1804 |
-
"epoch": 1.6145110410094636,
|
| 1805 |
-
"grad_norm": 0.5262148348424824,
|
| 1806 |
-
"learning_rate": 3.2445981401124035e-05,
|
| 1807 |
-
"loss": 2.0584,
|
| 1808 |
-
"step": 1280
|
| 1809 |
-
},
|
| 1810 |
-
{
|
| 1811 |
-
"epoch": 1.6208201892744478,
|
| 1812 |
-
"grad_norm": 0.18086944931617577,
|
| 1813 |
-
"learning_rate": 3.142609498261623e-05,
|
| 1814 |
-
"loss": 2.1297,
|
| 1815 |
-
"step": 1285
|
| 1816 |
-
},
|
| 1817 |
-
{
|
| 1818 |
-
"epoch": 1.6271293375394322,
|
| 1819 |
-
"grad_norm": 0.14876006201921135,
|
| 1820 |
-
"learning_rate": 3.0420616267215637e-05,
|
| 1821 |
-
"loss": 2.1075,
|
| 1822 |
-
"step": 1290
|
| 1823 |
-
},
|
| 1824 |
-
{
|
| 1825 |
-
"epoch": 1.6334384858044164,
|
| 1826 |
-
"grad_norm": 0.1261445893089227,
|
| 1827 |
-
"learning_rate": 2.9429667428842424e-05,
|
| 1828 |
-
"loss": 2.0413,
|
| 1829 |
-
"step": 1295
|
| 1830 |
-
},
|
| 1831 |
-
{
|
| 1832 |
-
"epoch": 1.6397476340694006,
|
| 1833 |
-
"grad_norm": 0.4002387370006984,
|
| 1834 |
-
"learning_rate": 2.845336887591746e-05,
|
| 1835 |
-
"loss": 2.0749,
|
| 1836 |
-
"step": 1300
|
| 1837 |
-
},
|
| 1838 |
-
{
|
| 1839 |
-
"epoch": 1.646056782334385,
|
| 1840 |
-
"grad_norm": 0.14748809888793443,
|
| 1841 |
-
"learning_rate": 2.7491839236731682e-05,
|
| 1842 |
-
"loss": 2.0686,
|
| 1843 |
-
"step": 1305
|
| 1844 |
-
},
|
| 1845 |
-
{
|
| 1846 |
-
"epoch": 1.6523659305993692,
|
| 1847 |
-
"grad_norm": 0.1745242948450349,
|
| 1848 |
-
"learning_rate": 2.6545195345031574e-05,
|
| 1849 |
-
"loss": 2.1086,
|
| 1850 |
-
"step": 1310
|
| 1851 |
-
},
|
| 1852 |
-
{
|
| 1853 |
-
"epoch": 1.6586750788643534,
|
| 1854 |
-
"grad_norm": 0.15200439297183374,
|
| 1855 |
-
"learning_rate": 2.5613552225823212e-05,
|
| 1856 |
-
"loss": 2.0192,
|
| 1857 |
-
"step": 1315
|
| 1858 |
-
},
|
| 1859 |
-
{
|
| 1860 |
-
"epoch": 1.6649842271293376,
|
| 1861 |
-
"grad_norm": 0.15361689677227675,
|
| 1862 |
-
"learning_rate": 2.4697023081395652e-05,
|
| 1863 |
-
"loss": 2.0913,
|
| 1864 |
-
"step": 1320
|
| 1865 |
-
},
|
| 1866 |
-
{
|
| 1867 |
-
"epoch": 1.6712933753943218,
|
| 1868 |
-
"grad_norm": 0.14672539202377308,
|
| 1869 |
-
"learning_rate": 2.37957192775658e-05,
|
| 1870 |
-
"loss": 2.066,
|
| 1871 |
-
"step": 1325
|
| 1872 |
-
},
|
| 1873 |
-
{
|
| 1874 |
-
"epoch": 1.677602523659306,
|
| 1875 |
-
"grad_norm": 0.12371192272196913,
|
| 1876 |
-
"learning_rate": 2.2909750330146665e-05,
|
| 1877 |
-
"loss": 2.0496,
|
| 1878 |
-
"step": 1330
|
| 1879 |
-
},
|
| 1880 |
-
{
|
| 1881 |
-
"epoch": 1.6839116719242901,
|
| 1882 |
-
"grad_norm": 0.12950618798301597,
|
| 1883 |
-
"learning_rate": 2.2039223891640406e-05,
|
| 1884 |
-
"loss": 2.0276,
|
| 1885 |
-
"step": 1335
|
| 1886 |
-
},
|
| 1887 |
-
{
|
| 1888 |
-
"epoch": 1.6902208201892743,
|
| 1889 |
-
"grad_norm": 0.12243785970327074,
|
| 1890 |
-
"learning_rate": 2.1184245738157395e-05,
|
| 1891 |
-
"loss": 2.0978,
|
| 1892 |
-
"step": 1340
|
| 1893 |
-
},
|
| 1894 |
-
{
|
| 1895 |
-
"epoch": 1.6965299684542585,
|
| 1896 |
-
"grad_norm": 0.15037055871528202,
|
| 1897 |
-
"learning_rate": 2.034491975656381e-05,
|
| 1898 |
-
"loss": 2.1044,
|
| 1899 |
-
"step": 1345
|
| 1900 |
-
},
|
| 1901 |
-
{
|
| 1902 |
-
"epoch": 1.702839116719243,
|
| 1903 |
-
"grad_norm": 0.20679512982442985,
|
| 1904 |
-
"learning_rate": 1.952134793185843e-05,
|
| 1905 |
-
"loss": 1.9915,
|
| 1906 |
-
"step": 1350
|
| 1907 |
-
},
|
| 1908 |
-
{
|
| 1909 |
-
"epoch": 1.7091482649842271,
|
| 1910 |
-
"grad_norm": 0.1068051803289863,
|
| 1911 |
-
"learning_rate": 1.871363033478046e-05,
|
| 1912 |
-
"loss": 2.0557,
|
| 1913 |
-
"step": 1355
|
| 1914 |
-
},
|
| 1915 |
-
{
|
| 1916 |
-
"epoch": 1.7154574132492113,
|
| 1917 |
-
"grad_norm": 0.13489201228856657,
|
| 1918 |
-
"learning_rate": 1.7921865109650447e-05,
|
| 1919 |
-
"loss": 2.0287,
|
| 1920 |
-
"step": 1360
|
| 1921 |
-
},
|
| 1922 |
-
{
|
| 1923 |
-
"epoch": 1.7217665615141957,
|
| 1924 |
-
"grad_norm": 0.11635989070750272,
|
| 1925 |
-
"learning_rate": 1.7146148462444654e-05,
|
| 1926 |
-
"loss": 2.0908,
|
| 1927 |
-
"step": 1365
|
| 1928 |
-
},
|
| 1929 |
-
{
|
| 1930 |
-
"epoch": 1.72807570977918,
|
| 1931 |
-
"grad_norm": 0.1292414052200366,
|
| 1932 |
-
"learning_rate": 1.6386574649105416e-05,
|
| 1933 |
-
"loss": 2.0663,
|
| 1934 |
-
"step": 1370
|
| 1935 |
-
},
|
| 1936 |
-
{
|
| 1937 |
-
"epoch": 1.734384858044164,
|
| 1938 |
-
"grad_norm": 0.1336092412195213,
|
| 1939 |
-
"learning_rate": 1.5643235964088064e-05,
|
| 1940 |
-
"loss": 2.0834,
|
| 1941 |
-
"step": 1375
|
| 1942 |
-
},
|
| 1943 |
-
{
|
| 1944 |
-
"epoch": 1.7406940063091483,
|
| 1945 |
-
"grad_norm": 0.12457408177697836,
|
| 1946 |
-
"learning_rate": 1.4916222729146688e-05,
|
| 1947 |
-
"loss": 2.0607,
|
| 1948 |
-
"step": 1380
|
| 1949 |
-
},
|
| 1950 |
-
{
|
| 1951 |
-
"epoch": 1.7470031545741325,
|
| 1952 |
-
"grad_norm": 0.12563174174929131,
|
| 1953 |
-
"learning_rate": 1.420562328235904e-05,
|
| 1954 |
-
"loss": 1.9503,
|
| 1955 |
-
"step": 1385
|
| 1956 |
-
},
|
| 1957 |
-
{
|
| 1958 |
-
"epoch": 1.7533123028391167,
|
| 1959 |
-
"grad_norm": 0.12518112489593036,
|
| 1960 |
-
"learning_rate": 1.351152396739284e-05,
|
| 1961 |
-
"loss": 2.0616,
|
| 1962 |
-
"step": 1390
|
| 1963 |
-
},
|
| 1964 |
-
{
|
| 1965 |
-
"epoch": 1.7596214511041008,
|
| 1966 |
-
"grad_norm": 0.10831791097675274,
|
| 1967 |
-
"learning_rate": 1.2834009123014338e-05,
|
| 1968 |
-
"loss": 2.0618,
|
| 1969 |
-
"step": 1395
|
| 1970 |
-
},
|
| 1971 |
-
{
|
| 1972 |
-
"epoch": 1.765930599369085,
|
| 1973 |
-
"grad_norm": 0.29518082944664253,
|
| 1974 |
-
"learning_rate": 1.2173161072840443e-05,
|
| 1975 |
-
"loss": 1.9915,
|
| 1976 |
-
"step": 1400
|
| 1977 |
-
},
|
| 1978 |
-
{
|
| 1979 |
-
"epoch": 1.7722397476340694,
|
| 1980 |
-
"grad_norm": 0.10583438239238828,
|
| 1981 |
-
"learning_rate": 1.1529060115335631e-05,
|
| 1982 |
-
"loss": 2.0576,
|
| 1983 |
-
"step": 1405
|
| 1984 |
-
},
|
| 1985 |
-
{
|
| 1986 |
-
"epoch": 1.7785488958990536,
|
| 1987 |
-
"grad_norm": 0.12799025071341882,
|
| 1988 |
-
"learning_rate": 1.090178451405519e-05,
|
| 1989 |
-
"loss": 2.0389,
|
| 1990 |
-
"step": 1410
|
| 1991 |
-
},
|
| 1992 |
-
{
|
| 1993 |
-
"epoch": 1.7848580441640378,
|
| 1994 |
-
"grad_norm": 0.11694082806514786,
|
| 1995 |
-
"learning_rate": 1.0291410488135438e-05,
|
| 1996 |
-
"loss": 1.9651,
|
| 1997 |
-
"step": 1415
|
| 1998 |
-
},
|
| 1999 |
-
{
|
| 2000 |
-
"epoch": 1.7911671924290222,
|
| 2001 |
-
"grad_norm": 0.11051587412406515,
|
| 2002 |
-
"learning_rate": 9.698012203032468e-06,
|
| 2003 |
-
"loss": 2.0653,
|
| 2004 |
-
"step": 1420
|
| 2005 |
-
},
|
| 2006 |
-
{
|
| 2007 |
-
"epoch": 1.7974763406940064,
|
| 2008 |
-
"grad_norm": 0.16943769742937304,
|
| 2009 |
-
"learning_rate": 9.121661761510507e-06,
|
| 2010 |
-
"loss": 1.9954,
|
| 2011 |
-
"step": 1425
|
| 2012 |
-
},
|
| 2013 |
-
{
|
| 2014 |
-
"epoch": 1.8037854889589906,
|
| 2015 |
-
"grad_norm": 0.20933132837978605,
|
| 2016 |
-
"learning_rate": 8.562429194880821e-06,
|
| 2017 |
-
"loss": 2.112,
|
| 2018 |
-
"step": 1430
|
| 2019 |
-
},
|
| 2020 |
-
{
|
| 2021 |
-
"epoch": 1.8100946372239748,
|
| 2022 |
-
"grad_norm": 0.11236448868998791,
|
| 2023 |
-
"learning_rate": 8.020382454492275e-06,
|
| 2024 |
-
"loss": 2.0302,
|
| 2025 |
-
"step": 1435
|
| 2026 |
-
},
|
| 2027 |
-
{
|
| 2028 |
-
"epoch": 1.816403785488959,
|
| 2029 |
-
"grad_norm": 0.12107899788754,
|
| 2030 |
-
"learning_rate": 7.495587403474701e-06,
|
| 2031 |
-
"loss": 2.0256,
|
| 2032 |
-
"step": 1440
|
| 2033 |
-
},
|
| 2034 |
-
{
|
| 2035 |
-
"epoch": 1.8227129337539432,
|
| 2036 |
-
"grad_norm": 0.1044284090142104,
|
| 2037 |
-
"learning_rate": 6.988107808736104e-06,
|
| 2038 |
-
"loss": 2.0336,
|
| 2039 |
-
"step": 1445
|
| 2040 |
-
},
|
| 2041 |
-
{
|
| 2042 |
-
"epoch": 1.8290220820189274,
|
| 2043 |
-
"grad_norm": 0.12046953009870044,
|
| 2044 |
-
"learning_rate": 6.49800533321434e-06,
|
| 2045 |
-
"loss": 1.982,
|
| 2046 |
-
"step": 1450
|
| 2047 |
-
},
|
| 2048 |
-
{
|
| 2049 |
-
"epoch": 1.8353312302839115,
|
| 2050 |
-
"grad_norm": 0.10963642369637508,
|
| 2051 |
-
"learning_rate": 6.025339528384493e-06,
|
| 2052 |
-
"loss": 2.0201,
|
| 2053 |
-
"step": 1455
|
| 2054 |
-
},
|
| 2055 |
-
{
|
| 2056 |
-
"epoch": 1.841640378548896,
|
| 2057 |
-
"grad_norm": 0.10565688363765909,
|
| 2058 |
-
"learning_rate": 5.570167827023115e-06,
|
| 2059 |
-
"loss": 2.0158,
|
| 2060 |
-
"step": 1460
|
| 2061 |
-
},
|
| 2062 |
-
{
|
| 2063 |
-
"epoch": 1.8479495268138801,
|
| 2064 |
-
"grad_norm": 0.11025682367925119,
|
| 2065 |
-
"learning_rate": 5.132545536229471e-06,
|
| 2066 |
-
"loss": 2.0276,
|
| 2067 |
-
"step": 1465
|
| 2068 |
-
},
|
| 2069 |
-
{
|
| 2070 |
-
"epoch": 1.8542586750788643,
|
| 2071 |
-
"grad_norm": 0.1662709864261435,
|
| 2072 |
-
"learning_rate": 4.712525830705338e-06,
|
| 2073 |
-
"loss": 2.0273,
|
| 2074 |
-
"step": 1470
|
| 2075 |
-
},
|
| 2076 |
-
{
|
| 2077 |
-
"epoch": 1.8605678233438487,
|
| 2078 |
-
"grad_norm": 0.11419381927710037,
|
| 2079 |
-
"learning_rate": 4.310159746293834e-06,
|
| 2080 |
-
"loss": 1.9885,
|
| 2081 |
-
"step": 1475
|
| 2082 |
-
},
|
| 2083 |
-
{
|
| 2084 |
-
"epoch": 1.866876971608833,
|
| 2085 |
-
"grad_norm": 0.10525019599087308,
|
| 2086 |
-
"learning_rate": 3.925496173778214e-06,
|
| 2087 |
-
"loss": 2.0498,
|
| 2088 |
-
"step": 1480
|
| 2089 |
-
},
|
| 2090 |
-
{
|
| 2091 |
-
"epoch": 1.8731861198738171,
|
| 2092 |
-
"grad_norm": 0.11114684416115388,
|
| 2093 |
-
"learning_rate": 3.558581852941106e-06,
|
| 2094 |
-
"loss": 2.027,
|
| 2095 |
-
"step": 1485
|
| 2096 |
-
},
|
| 2097 |
-
{
|
| 2098 |
-
"epoch": 1.8794952681388013,
|
| 2099 |
-
"grad_norm": 0.13571234830138024,
|
| 2100 |
-
"learning_rate": 3.209461366885335e-06,
|
| 2101 |
-
"loss": 2.0834,
|
| 2102 |
-
"step": 1490
|
| 2103 |
-
},
|
| 2104 |
-
{
|
| 2105 |
-
"epoch": 1.8858044164037855,
|
| 2106 |
-
"grad_norm": 0.24625307840667934,
|
| 2107 |
-
"learning_rate": 2.878177136616694e-06,
|
| 2108 |
-
"loss": 2.0052,
|
| 2109 |
-
"step": 1495
|
| 2110 |
-
},
|
| 2111 |
-
{
|
| 2112 |
-
"epoch": 1.8921135646687697,
|
| 2113 |
-
"grad_norm": 0.11032569559654276,
|
| 2114 |
-
"learning_rate": 2.564769415889445e-06,
|
| 2115 |
-
"loss": 2.0982,
|
| 2116 |
-
"step": 1500
|
| 2117 |
-
},
|
| 2118 |
-
{
|
| 2119 |
-
"epoch": 1.8984227129337539,
|
| 2120 |
-
"grad_norm": 0.1072743202373107,
|
| 2121 |
-
"learning_rate": 2.2692762863151528e-06,
|
| 2122 |
-
"loss": 2.0614,
|
| 2123 |
-
"step": 1505
|
| 2124 |
-
},
|
| 2125 |
-
{
|
| 2126 |
-
"epoch": 1.904731861198738,
|
| 2127 |
-
"grad_norm": 0.1161531648663479,
|
| 2128 |
-
"learning_rate": 1.9917336527354334e-06,
|
| 2129 |
-
"loss": 2.018,
|
| 2130 |
-
"step": 1510
|
| 2131 |
-
},
|
| 2132 |
-
{
|
| 2133 |
-
"epoch": 1.9110410094637222,
|
| 2134 |
-
"grad_norm": 0.09491412647258665,
|
| 2135 |
-
"learning_rate": 1.7321752388592792e-06,
|
| 2136 |
-
"loss": 2.0276,
|
| 2137 |
-
"step": 1515
|
| 2138 |
-
},
|
| 2139 |
-
{
|
| 2140 |
-
"epoch": 1.9173501577287066,
|
| 2141 |
-
"grad_norm": 0.11872568657394318,
|
| 2142 |
-
"learning_rate": 1.4906325831652687e-06,
|
| 2143 |
-
"loss": 2.0551,
|
| 2144 |
-
"step": 1520
|
| 2145 |
-
},
|
| 2146 |
-
{
|
| 2147 |
-
"epoch": 1.9236593059936908,
|
| 2148 |
-
"grad_norm": 0.11084979497518595,
|
| 2149 |
-
"learning_rate": 1.2671350350694498e-06,
|
| 2150 |
-
"loss": 1.9304,
|
| 2151 |
-
"step": 1525
|
| 2152 |
-
},
|
| 2153 |
-
{
|
| 2154 |
-
"epoch": 1.929968454258675,
|
| 2155 |
-
"grad_norm": 0.10258401422045245,
|
| 2156 |
-
"learning_rate": 1.061709751359141e-06,
|
| 2157 |
-
"loss": 2.011,
|
| 2158 |
-
"step": 1530
|
| 2159 |
-
},
|
| 2160 |
-
{
|
| 2161 |
-
"epoch": 1.9362776025236594,
|
| 2162 |
-
"grad_norm": 0.1043719731206757,
|
| 2163 |
-
"learning_rate": 8.743816928931391e-07,
|
| 2164 |
-
"loss": 2.0109,
|
| 2165 |
-
"step": 1535
|
| 2166 |
-
},
|
| 2167 |
-
{
|
| 2168 |
-
"epoch": 1.9425867507886436,
|
| 2169 |
-
"grad_norm": 0.11288186084819649,
|
| 2170 |
-
"learning_rate": 7.051736215687109e-07,
|
| 2171 |
-
"loss": 1.987,
|
| 2172 |
-
"step": 1540
|
| 2173 |
-
},
|
| 2174 |
-
{
|
| 2175 |
-
"epoch": 1.9488958990536278,
|
| 2176 |
-
"grad_norm": 0.10751919505403919,
|
| 2177 |
-
"learning_rate": 5.541060975559731e-07,
|
| 2178 |
-
"loss": 2.0008,
|
| 2179 |
-
"step": 1545
|
| 2180 |
-
},
|
| 2181 |
-
{
|
| 2182 |
-
"epoch": 1.955205047318612,
|
| 2183 |
-
"grad_norm": 0.1420810807632004,
|
| 2184 |
-
"learning_rate": 4.2119747679955626e-07,
|
| 2185 |
-
"loss": 2.0652,
|
| 2186 |
-
"step": 1550
|
| 2187 |
-
},
|
| 2188 |
-
{
|
| 2189 |
-
"epoch": 1.9615141955835962,
|
| 2190 |
-
"grad_norm": 0.09911696220850397,
|
| 2191 |
-
"learning_rate": 3.064639087882237e-07,
|
| 2192 |
-
"loss": 2.0239,
|
| 2193 |
-
"step": 1555
|
| 2194 |
-
},
|
| 2195 |
-
{
|
| 2196 |
-
"epoch": 1.9678233438485804,
|
| 2197 |
-
"grad_norm": 0.10402203428912504,
|
| 2198 |
-
"learning_rate": 2.0991933459260647e-07,
|
| 2199 |
-
"loss": 2.0042,
|
| 2200 |
-
"step": 1560
|
| 2201 |
-
},
|
| 2202 |
-
{
|
| 2203 |
-
"epoch": 1.9741324921135646,
|
| 2204 |
-
"grad_norm": 0.09525079220403034,
|
| 2205 |
-
"learning_rate": 1.315754851712425e-07,
|
| 2206 |
-
"loss": 1.9372,
|
| 2207 |
-
"step": 1565
|
| 2208 |
-
},
|
| 2209 |
-
{
|
| 2210 |
-
"epoch": 1.9804416403785488,
|
| 2211 |
-
"grad_norm": 0.13416921576674462,
|
| 2212 |
-
"learning_rate": 7.144187994513328e-08,
|
| 2213 |
-
"loss": 2.0804,
|
| 2214 |
-
"step": 1570
|
| 2215 |
-
},
|
| 2216 |
-
{
|
| 2217 |
-
"epoch": 1.9867507886435332,
|
| 2218 |
-
"grad_norm": 0.10198260208904694,
|
| 2219 |
-
"learning_rate": 2.9525825641085743e-08,
|
| 2220 |
-
"loss": 2.024,
|
| 2221 |
-
"step": 1575
|
| 2222 |
-
},
|
| 2223 |
-
{
|
| 2224 |
-
"epoch": 1.9930599369085173,
|
| 2225 |
-
"grad_norm": 0.1109028054454439,
|
| 2226 |
-
"learning_rate": 5.83241540387247e-09,
|
| 2227 |
-
"loss": 2.0887,
|
| 2228 |
-
"step": 1580
|
| 2229 |
-
},
|
| 2230 |
-
{
|
| 2231 |
-
"epoch": 1.9981072555205048,
|
| 2232 |
-
"step": 1584,
|
| 2233 |
-
"total_flos": 7.945866149068014e+18,
|
| 2234 |
-
"train_loss": 3.2101790476778542,
|
| 2235 |
-
"train_runtime": 19192.2556,
|
| 2236 |
-
"train_samples_per_second": 1.982,
|
| 2237 |
-
"train_steps_per_second": 0.083
|
| 2238 |
}
|
| 2239 |
],
|
| 2240 |
"logging_steps": 5,
|
| 2241 |
-
"max_steps":
|
| 2242 |
"num_input_tokens_seen": 0,
|
| 2243 |
"num_train_epochs": 2,
|
| 2244 |
"save_steps": 500,
|
|
@@ -2254,7 +1701,7 @@
|
|
| 2254 |
"attributes": {}
|
| 2255 |
}
|
| 2256 |
},
|
| 2257 |
-
"total_flos": 7.
|
| 2258 |
"train_batch_size": 1,
|
| 2259 |
"trial_name": null,
|
| 2260 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9974768713204374,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 1188,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.001682085786375105,
|
| 13 |
+
"grad_norm": 0.584265834445358,
|
| 14 |
+
"learning_rate": 2.521008403361344e-06,
|
| 15 |
+
"loss": 1.3366,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 0.008410428931875526,
|
| 20 |
+
"grad_norm": 0.4317387157455665,
|
| 21 |
+
"learning_rate": 1.2605042016806723e-05,
|
| 22 |
+
"loss": 1.2402,
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
+
"epoch": 0.01682085786375105,
|
| 27 |
+
"grad_norm": 0.2866682001722115,
|
| 28 |
+
"learning_rate": 2.5210084033613446e-05,
|
| 29 |
+
"loss": 1.2481,
|
| 30 |
"step": 10
|
| 31 |
},
|
| 32 |
{
|
| 33 |
+
"epoch": 0.025231286795626577,
|
| 34 |
+
"grad_norm": 0.2291349749029046,
|
| 35 |
+
"learning_rate": 3.7815126050420166e-05,
|
| 36 |
+
"loss": 1.1829,
|
| 37 |
"step": 15
|
| 38 |
},
|
| 39 |
{
|
| 40 |
+
"epoch": 0.0336417157275021,
|
| 41 |
+
"grad_norm": 0.26272617568016177,
|
| 42 |
+
"learning_rate": 5.042016806722689e-05,
|
| 43 |
+
"loss": 1.0796,
|
| 44 |
"step": 20
|
| 45 |
},
|
| 46 |
{
|
| 47 |
+
"epoch": 0.04205214465937763,
|
| 48 |
+
"grad_norm": 0.17879426310992677,
|
| 49 |
+
"learning_rate": 6.302521008403361e-05,
|
| 50 |
+
"loss": 0.9861,
|
| 51 |
"step": 25
|
| 52 |
},
|
| 53 |
{
|
| 54 |
+
"epoch": 0.050462573591253154,
|
| 55 |
+
"grad_norm": 0.1372088242876512,
|
| 56 |
+
"learning_rate": 7.563025210084033e-05,
|
| 57 |
+
"loss": 0.9688,
|
| 58 |
"step": 30
|
| 59 |
},
|
| 60 |
{
|
| 61 |
+
"epoch": 0.05887300252312868,
|
| 62 |
+
"grad_norm": 0.11605937851559196,
|
| 63 |
+
"learning_rate": 8.823529411764705e-05,
|
| 64 |
+
"loss": 0.9683,
|
| 65 |
"step": 35
|
| 66 |
},
|
| 67 |
{
|
| 68 |
+
"epoch": 0.0672834314550042,
|
| 69 |
+
"grad_norm": 0.12589057657439554,
|
| 70 |
+
"learning_rate": 0.00010084033613445378,
|
| 71 |
+
"loss": 0.948,
|
| 72 |
"step": 40
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 0.07569386038687972,
|
| 76 |
+
"grad_norm": 0.1652030960687282,
|
| 77 |
+
"learning_rate": 0.00011344537815126049,
|
| 78 |
+
"loss": 0.9155,
|
| 79 |
"step": 45
|
| 80 |
},
|
| 81 |
{
|
| 82 |
+
"epoch": 0.08410428931875526,
|
| 83 |
+
"grad_norm": 0.15080610702585565,
|
| 84 |
+
"learning_rate": 0.00012605042016806722,
|
| 85 |
+
"loss": 0.9278,
|
| 86 |
"step": 50
|
| 87 |
},
|
| 88 |
{
|
| 89 |
+
"epoch": 0.09251471825063078,
|
| 90 |
+
"grad_norm": 0.13357435857967218,
|
| 91 |
+
"learning_rate": 0.00013865546218487396,
|
| 92 |
+
"loss": 0.9023,
|
| 93 |
"step": 55
|
| 94 |
},
|
| 95 |
{
|
| 96 |
+
"epoch": 0.10092514718250631,
|
| 97 |
+
"grad_norm": 0.19497187993777446,
|
| 98 |
+
"learning_rate": 0.00015126050420168066,
|
| 99 |
+
"loss": 0.8778,
|
| 100 |
"step": 60
|
| 101 |
},
|
| 102 |
{
|
| 103 |
+
"epoch": 0.10933557611438183,
|
| 104 |
+
"grad_norm": 0.1976656903261847,
|
| 105 |
+
"learning_rate": 0.00016386554621848737,
|
| 106 |
+
"loss": 0.9507,
|
| 107 |
"step": 65
|
| 108 |
},
|
| 109 |
{
|
| 110 |
+
"epoch": 0.11774600504625736,
|
| 111 |
+
"grad_norm": 0.1403114707521467,
|
| 112 |
+
"learning_rate": 0.0001764705882352941,
|
| 113 |
+
"loss": 0.9164,
|
| 114 |
"step": 70
|
| 115 |
},
|
| 116 |
{
|
| 117 |
+
"epoch": 0.1261564339781329,
|
| 118 |
+
"grad_norm": 0.14099777956857235,
|
| 119 |
+
"learning_rate": 0.0001890756302521008,
|
| 120 |
+
"loss": 0.9534,
|
| 121 |
"step": 75
|
| 122 |
},
|
| 123 |
{
|
| 124 |
+
"epoch": 0.1345668629100084,
|
| 125 |
+
"grad_norm": 0.15889633248603474,
|
| 126 |
+
"learning_rate": 0.00020168067226890757,
|
| 127 |
+
"loss": 0.9315,
|
| 128 |
"step": 80
|
| 129 |
},
|
| 130 |
{
|
| 131 |
+
"epoch": 0.14297729184188393,
|
| 132 |
+
"grad_norm": 0.13905096593977556,
|
| 133 |
+
"learning_rate": 0.00021428571428571427,
|
| 134 |
+
"loss": 0.9019,
|
| 135 |
"step": 85
|
| 136 |
},
|
| 137 |
{
|
| 138 |
+
"epoch": 0.15138772077375945,
|
| 139 |
+
"grad_norm": 0.1248251895789866,
|
| 140 |
+
"learning_rate": 0.00022689075630252098,
|
| 141 |
+
"loss": 1.0007,
|
| 142 |
"step": 90
|
| 143 |
},
|
| 144 |
{
|
| 145 |
+
"epoch": 0.159798149705635,
|
| 146 |
+
"grad_norm": 0.12856969759106154,
|
| 147 |
+
"learning_rate": 0.00023949579831932771,
|
| 148 |
+
"loss": 0.9706,
|
| 149 |
"step": 95
|
| 150 |
},
|
| 151 |
{
|
| 152 |
+
"epoch": 0.16820857863751051,
|
| 153 |
+
"grad_norm": 0.2451599584066991,
|
| 154 |
+
"learning_rate": 0.00025210084033613445,
|
| 155 |
+
"loss": 0.9457,
|
| 156 |
"step": 100
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 0.17661900756938603,
|
| 160 |
+
"grad_norm": 0.16131565399243042,
|
| 161 |
+
"learning_rate": 0.00026470588235294115,
|
| 162 |
+
"loss": 0.9624,
|
| 163 |
"step": 105
|
| 164 |
},
|
| 165 |
{
|
| 166 |
+
"epoch": 0.18502943650126155,
|
| 167 |
+
"grad_norm": 0.11974149003499743,
|
| 168 |
+
"learning_rate": 0.0002773109243697479,
|
| 169 |
+
"loss": 0.943,
|
| 170 |
"step": 110
|
| 171 |
},
|
| 172 |
{
|
| 173 |
+
"epoch": 0.1934398654331371,
|
| 174 |
+
"grad_norm": 0.4663750210183581,
|
| 175 |
+
"learning_rate": 0.0002899159663865546,
|
| 176 |
+
"loss": 0.9683,
|
| 177 |
"step": 115
|
| 178 |
},
|
| 179 |
{
|
| 180 |
+
"epoch": 0.20185029436501262,
|
| 181 |
+
"grad_norm": 0.315237934726779,
|
| 182 |
+
"learning_rate": 0.00029999935225318556,
|
| 183 |
+
"loss": 0.9765,
|
| 184 |
"step": 120
|
| 185 |
},
|
| 186 |
{
|
| 187 |
+
"epoch": 0.21026072329688814,
|
| 188 |
+
"grad_norm": 41.12896492268303,
|
| 189 |
+
"learning_rate": 0.00029997668170208376,
|
| 190 |
+
"loss": 2.4906,
|
| 191 |
"step": 125
|
| 192 |
},
|
| 193 |
{
|
| 194 |
+
"epoch": 0.21867115222876365,
|
| 195 |
+
"grad_norm": 86.97194601878952,
|
| 196 |
+
"learning_rate": 0.0002999216294043922,
|
| 197 |
+
"loss": 4.2426,
|
| 198 |
"step": 130
|
| 199 |
},
|
| 200 |
{
|
| 201 |
+
"epoch": 0.2270815811606392,
|
| 202 |
+
"grad_norm": 40.145574165614974,
|
| 203 |
+
"learning_rate": 0.0002998342072465558,
|
| 204 |
+
"loss": 5.285,
|
| 205 |
"step": 135
|
| 206 |
},
|
| 207 |
{
|
| 208 |
+
"epoch": 0.23549201009251472,
|
| 209 |
+
"grad_norm": 36.0169334865568,
|
| 210 |
+
"learning_rate": 0.0002997144341040567,
|
| 211 |
+
"loss": 5.7741,
|
| 212 |
"step": 140
|
| 213 |
},
|
| 214 |
{
|
| 215 |
+
"epoch": 0.24390243902439024,
|
| 216 |
+
"grad_norm": 15.431132077300076,
|
| 217 |
+
"learning_rate": 0.0002995623358373386,
|
| 218 |
+
"loss": 7.9614,
|
| 219 |
"step": 145
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 0.2523128679562658,
|
| 223 |
+
"grad_norm": 6.581926090085861,
|
| 224 |
+
"learning_rate": 0.0002993779452862235,
|
| 225 |
+
"loss": 4.2109,
|
| 226 |
"step": 150
|
| 227 |
},
|
| 228 |
{
|
| 229 |
+
"epoch": 0.2607232968881413,
|
| 230 |
+
"grad_norm": 7.662219825964168,
|
| 231 |
+
"learning_rate": 0.0002991613022628211,
|
| 232 |
+
"loss": 3.4552,
|
| 233 |
"step": 155
|
| 234 |
},
|
| 235 |
{
|
| 236 |
+
"epoch": 0.2691337258200168,
|
| 237 |
+
"grad_norm": 2.538849805479563,
|
| 238 |
+
"learning_rate": 0.00029891245354293284,
|
| 239 |
+
"loss": 2.1775,
|
| 240 |
"step": 160
|
| 241 |
},
|
| 242 |
{
|
| 243 |
+
"epoch": 0.27754415475189237,
|
| 244 |
+
"grad_norm": 2.0222241832932824,
|
| 245 |
+
"learning_rate": 0.0002986314528559525,
|
| 246 |
+
"loss": 2.0086,
|
| 247 |
"step": 165
|
| 248 |
},
|
| 249 |
{
|
| 250 |
+
"epoch": 0.28595458368376786,
|
| 251 |
+
"grad_norm": 1.6691520526281935,
|
| 252 |
+
"learning_rate": 0.0002983183608732653,
|
| 253 |
+
"loss": 1.618,
|
| 254 |
"step": 170
|
| 255 |
},
|
| 256 |
{
|
| 257 |
+
"epoch": 0.2943650126156434,
|
| 258 |
+
"grad_norm": 0.8472051268719076,
|
| 259 |
+
"learning_rate": 0.00029797324519514835,
|
| 260 |
+
"loss": 1.4006,
|
| 261 |
"step": 175
|
| 262 |
},
|
| 263 |
{
|
| 264 |
+
"epoch": 0.3027754415475189,
|
| 265 |
+
"grad_norm": 1.2656793919009501,
|
| 266 |
+
"learning_rate": 0.0002975961803361749,
|
| 267 |
+
"loss": 1.2361,
|
| 268 |
"step": 180
|
| 269 |
},
|
| 270 |
{
|
| 271 |
+
"epoch": 0.31118587047939444,
|
| 272 |
+
"grad_norm": 16.91854783030072,
|
| 273 |
+
"learning_rate": 0.00029718724770912575,
|
| 274 |
+
"loss": 1.3024,
|
| 275 |
"step": 185
|
| 276 |
},
|
| 277 |
{
|
| 278 |
+
"epoch": 0.31959629941127,
|
| 279 |
+
"grad_norm": 0.4264421791196419,
|
| 280 |
+
"learning_rate": 0.00029674653560741125,
|
| 281 |
+
"loss": 1.2247,
|
| 282 |
"step": 190
|
| 283 |
},
|
| 284 |
{
|
| 285 |
+
"epoch": 0.3280067283431455,
|
| 286 |
+
"grad_norm": 11.819413233995139,
|
| 287 |
+
"learning_rate": 0.00029627413918600773,
|
| 288 |
+
"loss": 1.5927,
|
| 289 |
"step": 195
|
| 290 |
},
|
| 291 |
{
|
| 292 |
+
"epoch": 0.33641715727502103,
|
| 293 |
+
"grad_norm": 0.3872518309676493,
|
| 294 |
+
"learning_rate": 0.0002957701604409124,
|
| 295 |
+
"loss": 1.2533,
|
| 296 |
"step": 200
|
| 297 |
},
|
| 298 |
{
|
| 299 |
+
"epoch": 0.3448275862068966,
|
| 300 |
+
"grad_norm": 2.0631756640177508,
|
| 301 |
+
"learning_rate": 0.0002952347081871212,
|
| 302 |
+
"loss": 1.1339,
|
| 303 |
"step": 205
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 0.35323801513877207,
|
| 307 |
+
"grad_norm": 0.2331543310806729,
|
| 308 |
+
"learning_rate": 0.00029466789803513435,
|
| 309 |
+
"loss": 1.0706,
|
| 310 |
"step": 210
|
| 311 |
},
|
| 312 |
{
|
| 313 |
+
"epoch": 0.3616484440706476,
|
| 314 |
+
"grad_norm": 0.20061594850021877,
|
| 315 |
+
"learning_rate": 0.0002940698523659947,
|
| 316 |
+
"loss": 1.1093,
|
| 317 |
"step": 215
|
| 318 |
},
|
| 319 |
{
|
| 320 |
+
"epoch": 0.3700588730025231,
|
| 321 |
+
"grad_norm": 0.17861349516130504,
|
| 322 |
+
"learning_rate": 0.0002934407003048641,
|
| 323 |
+
"loss": 1.1008,
|
| 324 |
"step": 220
|
| 325 |
},
|
| 326 |
{
|
| 327 |
+
"epoch": 0.37846930193439865,
|
| 328 |
+
"grad_norm": 0.11836066059443685,
|
| 329 |
+
"learning_rate": 0.00029278057769314384,
|
| 330 |
+
"loss": 1.045,
|
| 331 |
"step": 225
|
| 332 |
},
|
| 333 |
{
|
| 334 |
+
"epoch": 0.3868797308662742,
|
| 335 |
+
"grad_norm": 0.18874539756549927,
|
| 336 |
+
"learning_rate": 0.00029208962705914505,
|
| 337 |
+
"loss": 1.0056,
|
| 338 |
"step": 230
|
| 339 |
},
|
| 340 |
{
|
| 341 |
+
"epoch": 0.3952901597981497,
|
| 342 |
+
"grad_norm": 0.45365739150608037,
|
| 343 |
+
"learning_rate": 0.00029136799758731473,
|
| 344 |
+
"loss": 0.9995,
|
| 345 |
"step": 235
|
| 346 |
},
|
| 347 |
{
|
| 348 |
+
"epoch": 0.40370058873002523,
|
| 349 |
+
"grad_norm": 0.12762727857651687,
|
| 350 |
+
"learning_rate": 0.00029061584508602545,
|
| 351 |
+
"loss": 1.006,
|
| 352 |
"step": 240
|
| 353 |
},
|
| 354 |
{
|
| 355 |
+
"epoch": 0.4121110176619008,
|
| 356 |
+
"grad_norm": 4.885346324632363,
|
| 357 |
+
"learning_rate": 0.0002898333319539341,
|
| 358 |
+
"loss": 1.3006,
|
| 359 |
"step": 245
|
| 360 |
},
|
| 361 |
{
|
| 362 |
+
"epoch": 0.42052144659377627,
|
| 363 |
+
"grad_norm": 0.6018215992100235,
|
| 364 |
+
"learning_rate": 0.0002890206271449186,
|
| 365 |
+
"loss": 1.0966,
|
| 366 |
"step": 250
|
| 367 |
},
|
| 368 |
{
|
| 369 |
+
"epoch": 0.4289318755256518,
|
| 370 |
+
"grad_norm": 0.4059499155938192,
|
| 371 |
+
"learning_rate": 0.00028817790613159817,
|
| 372 |
+
"loss": 1.0764,
|
| 373 |
"step": 255
|
| 374 |
},
|
| 375 |
{
|
| 376 |
+
"epoch": 0.4373423044575273,
|
| 377 |
+
"grad_norm": 7.707406865225783,
|
| 378 |
+
"learning_rate": 0.0002873053508674471,
|
| 379 |
+
"loss": 1.1362,
|
| 380 |
"step": 260
|
| 381 |
},
|
| 382 |
{
|
| 383 |
+
"epoch": 0.44575273338940286,
|
| 384 |
+
"grad_norm": 0.22108881306250477,
|
| 385 |
+
"learning_rate": 0.00028640314974750884,
|
| 386 |
+
"loss": 1.0774,
|
| 387 |
"step": 265
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 0.4541631623212784,
|
| 391 |
+
"grad_norm": 3.3347201885551807,
|
| 392 |
+
"learning_rate": 0.00028547149756771894,
|
| 393 |
+
"loss": 1.1651,
|
| 394 |
"step": 270
|
| 395 |
},
|
| 396 |
{
|
| 397 |
+
"epoch": 0.4625735912531539,
|
| 398 |
+
"grad_norm": 0.34254879266979626,
|
| 399 |
+
"learning_rate": 0.00028451059548284665,
|
| 400 |
+
"loss": 1.1397,
|
| 401 |
"step": 275
|
| 402 |
},
|
| 403 |
{
|
| 404 |
+
"epoch": 0.47098402018502944,
|
| 405 |
+
"grad_norm": 0.1735673338436184,
|
| 406 |
+
"learning_rate": 0.00028352065096306307,
|
| 407 |
+
"loss": 1.0421,
|
| 408 |
"step": 280
|
| 409 |
},
|
| 410 |
{
|
| 411 |
+
"epoch": 0.479394449116905,
|
| 412 |
+
"grad_norm": 0.16104913537338722,
|
| 413 |
+
"learning_rate": 0.0002825018777491458,
|
| 414 |
+
"loss": 1.0461,
|
| 415 |
"step": 285
|
| 416 |
},
|
| 417 |
{
|
| 418 |
+
"epoch": 0.4878048780487805,
|
| 419 |
+
"grad_norm": 0.1831953506941342,
|
| 420 |
+
"learning_rate": 0.00028145449580632996,
|
| 421 |
+
"loss": 0.9887,
|
| 422 |
"step": 290
|
| 423 |
},
|
| 424 |
{
|
| 425 |
+
"epoch": 0.496215306980656,
|
| 426 |
+
"grad_norm": 0.13125693879950318,
|
| 427 |
+
"learning_rate": 0.0002803787312768149,
|
| 428 |
+
"loss": 0.9847,
|
| 429 |
"step": 295
|
| 430 |
},
|
| 431 |
{
|
| 432 |
+
"epoch": 0.5046257359125316,
|
| 433 |
+
"grad_norm": 0.45943182895269363,
|
| 434 |
+
"learning_rate": 0.00027927481643093754,
|
| 435 |
+
"loss": 1.0187,
|
| 436 |
"step": 300
|
| 437 |
},
|
| 438 |
{
|
| 439 |
+
"epoch": 0.5130361648444071,
|
| 440 |
+
"grad_norm": 1.177847689359211,
|
| 441 |
+
"learning_rate": 0.0002781429896170223,
|
| 442 |
+
"loss": 1.0201,
|
| 443 |
"step": 305
|
| 444 |
},
|
| 445 |
{
|
| 446 |
+
"epoch": 0.5214465937762826,
|
| 447 |
+
"grad_norm": 11.730278476509266,
|
| 448 |
+
"learning_rate": 0.0002769834952099191,
|
| 449 |
+
"loss": 1.2084,
|
| 450 |
"step": 310
|
| 451 |
},
|
| 452 |
{
|
| 453 |
+
"epoch": 0.5298570227081582,
|
| 454 |
+
"grad_norm": 0.26427554458970376,
|
| 455 |
+
"learning_rate": 0.0002757965835582397,
|
| 456 |
+
"loss": 1.102,
|
| 457 |
"step": 315
|
| 458 |
},
|
| 459 |
{
|
| 460 |
+
"epoch": 0.5382674516400336,
|
| 461 |
+
"grad_norm": 0.45790641000811105,
|
| 462 |
+
"learning_rate": 0.0002745825109303045,
|
| 463 |
+
"loss": 1.0614,
|
| 464 |
"step": 320
|
| 465 |
},
|
| 466 |
{
|
| 467 |
+
"epoch": 0.5466778805719091,
|
| 468 |
+
"grad_norm": 0.1621409545630021,
|
| 469 |
+
"learning_rate": 0.0002733415394588114,
|
| 470 |
+
"loss": 1.0228,
|
| 471 |
"step": 325
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 0.5550883095037847,
|
| 475 |
+
"grad_norm": 0.11351840128403332,
|
| 476 |
+
"learning_rate": 0.0002720739370842379,
|
| 477 |
+
"loss": 0.9773,
|
| 478 |
"step": 330
|
| 479 |
},
|
| 480 |
{
|
| 481 |
+
"epoch": 0.5634987384356602,
|
| 482 |
+
"grad_norm": 0.13847315137184252,
|
| 483 |
+
"learning_rate": 0.0002707799774969897,
|
| 484 |
+
"loss": 1.0054,
|
| 485 |
"step": 335
|
| 486 |
},
|
| 487 |
{
|
| 488 |
+
"epoch": 0.5719091673675357,
|
| 489 |
+
"grad_norm": 0.10777953928312381,
|
| 490 |
+
"learning_rate": 0.0002694599400783078,
|
| 491 |
+
"loss": 0.9851,
|
| 492 |
"step": 340
|
| 493 |
},
|
| 494 |
{
|
| 495 |
+
"epoch": 0.5803195962994113,
|
| 496 |
+
"grad_norm": 0.1256406052654263,
|
| 497 |
+
"learning_rate": 0.00026811410983994667,
|
| 498 |
+
"loss": 1.0163,
|
| 499 |
"step": 345
|
| 500 |
},
|
| 501 |
{
|
| 502 |
+
"epoch": 0.5887300252312868,
|
| 503 |
+
"grad_norm": 0.16866862756321335,
|
| 504 |
+
"learning_rate": 0.00026674277736263687,
|
| 505 |
+
"loss": 1.0335,
|
| 506 |
"step": 350
|
| 507 |
},
|
| 508 |
{
|
| 509 |
+
"epoch": 0.5971404541631623,
|
| 510 |
+
"grad_norm": 0.14265754669110667,
|
| 511 |
+
"learning_rate": 0.0002653462387333451,
|
| 512 |
+
"loss": 0.9956,
|
| 513 |
"step": 355
|
| 514 |
},
|
| 515 |
{
|
| 516 |
+
"epoch": 0.6055508830950378,
|
| 517 |
+
"grad_norm": 0.5819454877222049,
|
| 518 |
+
"learning_rate": 0.0002639247954813458,
|
| 519 |
+
"loss": 1.0263,
|
| 520 |
"step": 360
|
| 521 |
},
|
| 522 |
{
|
| 523 |
+
"epoch": 0.6139613120269134,
|
| 524 |
+
"grad_norm": 0.13535505190898894,
|
| 525 |
+
"learning_rate": 0.0002624787545131169,
|
| 526 |
+
"loss": 0.9753,
|
| 527 |
"step": 365
|
| 528 |
},
|
| 529 |
{
|
| 530 |
+
"epoch": 0.6223717409587889,
|
| 531 |
+
"grad_norm": 1.0748063857926706,
|
| 532 |
+
"learning_rate": 0.0002610084280460756,
|
| 533 |
+
"loss": 0.9945,
|
| 534 |
"step": 370
|
| 535 |
},
|
| 536 |
{
|
| 537 |
+
"epoch": 0.6307821698906644,
|
| 538 |
+
"grad_norm": 0.14560862560154247,
|
| 539 |
+
"learning_rate": 0.00025951413354116665,
|
| 540 |
+
"loss": 0.988,
|
| 541 |
"step": 375
|
| 542 |
},
|
| 543 |
{
|
| 544 |
+
"epoch": 0.63919259882254,
|
| 545 |
+
"grad_norm": 0.1246463854830709,
|
| 546 |
+
"learning_rate": 0.0002579961936343188,
|
| 547 |
+
"loss": 0.9658,
|
| 548 |
"step": 380
|
| 549 |
},
|
| 550 |
{
|
| 551 |
+
"epoch": 0.6476030277544155,
|
| 552 |
+
"grad_norm": 0.10713906349411657,
|
| 553 |
+
"learning_rate": 0.00025645493606678375,
|
| 554 |
+
"loss": 0.9366,
|
| 555 |
"step": 385
|
| 556 |
},
|
| 557 |
{
|
| 558 |
+
"epoch": 0.656013456686291,
|
| 559 |
+
"grad_norm": 0.1113038542351718,
|
| 560 |
+
"learning_rate": 0.00025489069361437326,
|
| 561 |
+
"loss": 0.9758,
|
| 562 |
"step": 390
|
| 563 |
},
|
| 564 |
{
|
| 565 |
+
"epoch": 0.6644238856181666,
|
| 566 |
+
"grad_norm": 1.3831640086044374,
|
| 567 |
+
"learning_rate": 0.00025330380401560846,
|
| 568 |
+
"loss": 0.9575,
|
| 569 |
"step": 395
|
| 570 |
},
|
| 571 |
{
|
| 572 |
+
"epoch": 0.6728343145500421,
|
| 573 |
+
"grad_norm": 0.11166426611159094,
|
| 574 |
+
"learning_rate": 0.0002516946098987985,
|
| 575 |
+
"loss": 0.963,
|
| 576 |
"step": 400
|
| 577 |
},
|
| 578 |
{
|
| 579 |
+
"epoch": 0.6812447434819175,
|
| 580 |
+
"grad_norm": 1.0002894310288515,
|
| 581 |
+
"learning_rate": 0.0002500634587080628,
|
| 582 |
+
"loss": 0.9299,
|
| 583 |
"step": 405
|
| 584 |
},
|
| 585 |
{
|
| 586 |
+
"epoch": 0.6896551724137931,
|
| 587 |
+
"grad_norm": 0.1755490764589915,
|
| 588 |
+
"learning_rate": 0.0002484107026283137,
|
| 589 |
+
"loss": 0.9814,
|
| 590 |
"step": 410
|
| 591 |
},
|
| 592 |
{
|
| 593 |
+
"epoch": 0.6980656013456686,
|
| 594 |
+
"grad_norm": 4.147990806845651,
|
| 595 |
+
"learning_rate": 0.00024673669850921575,
|
| 596 |
+
"loss": 1.0252,
|
| 597 |
"step": 415
|
| 598 |
},
|
| 599 |
{
|
| 600 |
+
"epoch": 0.7064760302775441,
|
| 601 |
+
"grad_norm": 0.14199796426249658,
|
| 602 |
+
"learning_rate": 0.0002450418077881374,
|
| 603 |
+
"loss": 0.9578,
|
| 604 |
"step": 420
|
| 605 |
},
|
| 606 |
{
|
| 607 |
+
"epoch": 0.7148864592094197,
|
| 608 |
+
"grad_norm": 0.10967054022758699,
|
| 609 |
+
"learning_rate": 0.0002433263964121127,
|
| 610 |
+
"loss": 0.9543,
|
| 611 |
"step": 425
|
| 612 |
},
|
| 613 |
{
|
| 614 |
+
"epoch": 0.7232968881412952,
|
| 615 |
+
"grad_norm": 0.10681488534249564,
|
| 616 |
+
"learning_rate": 0.00024159083475882854,
|
| 617 |
+
"loss": 0.947,
|
| 618 |
"step": 430
|
| 619 |
},
|
| 620 |
{
|
| 621 |
+
"epoch": 0.7317073170731707,
|
| 622 |
+
"grad_norm": 0.0836144209353973,
|
| 623 |
+
"learning_rate": 0.00023983549755665623,
|
| 624 |
+
"loss": 0.966,
|
| 625 |
"step": 435
|
| 626 |
},
|
| 627 |
{
|
| 628 |
+
"epoch": 0.7401177460050462,
|
| 629 |
+
"grad_norm": 6.618428479377572,
|
| 630 |
+
"learning_rate": 0.00023806076380374262,
|
| 631 |
+
"loss": 0.9755,
|
| 632 |
"step": 440
|
| 633 |
},
|
| 634 |
{
|
| 635 |
+
"epoch": 0.7485281749369218,
|
| 636 |
+
"grad_norm": 0.3700536075693679,
|
| 637 |
+
"learning_rate": 0.00023626701668618048,
|
| 638 |
+
"loss": 0.9439,
|
| 639 |
"step": 445
|
| 640 |
},
|
| 641 |
{
|
| 642 |
+
"epoch": 0.7569386038687973,
|
| 643 |
+
"grad_norm": 0.1339452802214274,
|
| 644 |
+
"learning_rate": 0.00023445464349527363,
|
| 645 |
+
"loss": 0.9393,
|
| 646 |
"step": 450
|
| 647 |
},
|
| 648 |
{
|
| 649 |
+
"epoch": 0.7653490328006728,
|
| 650 |
+
"grad_norm": 0.15063483951074022,
|
| 651 |
+
"learning_rate": 0.00023262403554391643,
|
| 652 |
+
"loss": 0.9561,
|
| 653 |
"step": 455
|
| 654 |
},
|
| 655 |
{
|
| 656 |
+
"epoch": 0.7737594617325484,
|
| 657 |
+
"grad_norm": 0.12236138289386866,
|
| 658 |
+
"learning_rate": 0.0002307755880821044,
|
| 659 |
+
"loss": 0.9757,
|
| 660 |
"step": 460
|
| 661 |
},
|
| 662 |
{
|
| 663 |
+
"epoch": 0.7821698906644239,
|
| 664 |
+
"grad_norm": 0.09859340116113559,
|
| 665 |
+
"learning_rate": 0.00022890970021159545,
|
| 666 |
+
"loss": 0.9699,
|
| 667 |
"step": 465
|
| 668 |
},
|
| 669 |
{
|
| 670 |
+
"epoch": 0.7905803195962994,
|
| 671 |
+
"grad_norm": 0.3134759911324595,
|
| 672 |
+
"learning_rate": 0.00022702677479973857,
|
| 673 |
+
"loss": 0.9387,
|
| 674 |
"step": 470
|
| 675 |
},
|
| 676 |
{
|
| 677 |
+
"epoch": 0.798990748528175,
|
| 678 |
+
"grad_norm": 0.12183559177618263,
|
| 679 |
+
"learning_rate": 0.00022512721839249044,
|
| 680 |
+
"loss": 0.8985,
|
| 681 |
"step": 475
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 0.8074011774600505,
|
| 685 |
+
"grad_norm": 0.08229469965958389,
|
| 686 |
+
"learning_rate": 0.00022321144112663708,
|
| 687 |
+
"loss": 0.9504,
|
| 688 |
"step": 480
|
| 689 |
},
|
| 690 |
{
|
| 691 |
+
"epoch": 0.815811606391926,
|
| 692 |
+
"grad_norm": 0.14924593232770486,
|
| 693 |
+
"learning_rate": 0.00022127985664124048,
|
| 694 |
+
"loss": 0.9338,
|
| 695 |
"step": 485
|
| 696 |
},
|
| 697 |
{
|
| 698 |
+
"epoch": 0.8242220353238016,
|
| 699 |
+
"grad_norm": 0.2786737248586552,
|
| 700 |
+
"learning_rate": 0.0002193328819883292,
|
| 701 |
+
"loss": 1.0327,
|
| 702 |
"step": 490
|
| 703 |
},
|
| 704 |
{
|
| 705 |
+
"epoch": 0.832632464255677,
|
| 706 |
+
"grad_norm": 0.1485555431366647,
|
| 707 |
+
"learning_rate": 0.00021737093754285147,
|
| 708 |
+
"loss": 0.9499,
|
| 709 |
"step": 495
|
| 710 |
},
|
| 711 |
{
|
| 712 |
+
"epoch": 0.8410428931875525,
|
| 713 |
+
"grad_norm": 0.10549366930700854,
|
| 714 |
+
"learning_rate": 0.00021539444691191174,
|
| 715 |
+
"loss": 0.8961,
|
| 716 |
"step": 500
|
| 717 |
},
|
| 718 |
{
|
| 719 |
+
"epoch": 0.8494533221194281,
|
| 720 |
+
"grad_norm": 0.2501853130288003,
|
| 721 |
+
"learning_rate": 0.0002134038368433085,
|
| 722 |
+
"loss": 0.973,
|
| 723 |
"step": 505
|
| 724 |
},
|
| 725 |
{
|
| 726 |
+
"epoch": 0.8578637510513036,
|
| 727 |
+
"grad_norm": 0.08142359041013753,
|
| 728 |
+
"learning_rate": 0.00021139953713339454,
|
| 729 |
+
"loss": 0.9262,
|
| 730 |
"step": 510
|
| 731 |
},
|
| 732 |
{
|
| 733 |
+
"epoch": 0.8662741799831791,
|
| 734 |
+
"grad_norm": 0.1101621057008162,
|
| 735 |
+
"learning_rate": 0.00020938198053427885,
|
| 736 |
+
"loss": 0.9462,
|
| 737 |
"step": 515
|
| 738 |
},
|
| 739 |
{
|
| 740 |
+
"epoch": 0.8746846089150546,
|
| 741 |
+
"grad_norm": 0.08929629784060397,
|
| 742 |
+
"learning_rate": 0.00020735160266039006,
|
| 743 |
+
"loss": 0.9227,
|
| 744 |
"step": 520
|
| 745 |
},
|
| 746 |
{
|
| 747 |
+
"epoch": 0.8830950378469302,
|
| 748 |
+
"grad_norm": 0.15490402519303073,
|
| 749 |
+
"learning_rate": 0.00020530884189442244,
|
| 750 |
+
"loss": 0.9077,
|
| 751 |
"step": 525
|
| 752 |
},
|
| 753 |
{
|
| 754 |
+
"epoch": 0.8915054667788057,
|
| 755 |
+
"grad_norm": 0.0899609096113038,
|
| 756 |
+
"learning_rate": 0.00020325413929268369,
|
| 757 |
+
"loss": 0.9309,
|
| 758 |
"step": 530
|
| 759 |
},
|
| 760 |
{
|
| 761 |
+
"epoch": 0.8999158957106812,
|
| 762 |
+
"grad_norm": 0.08860120877271818,
|
| 763 |
+
"learning_rate": 0.00020118793848986554,
|
| 764 |
+
"loss": 0.9581,
|
| 765 |
"step": 535
|
| 766 |
},
|
| 767 |
{
|
| 768 |
+
"epoch": 0.9083263246425568,
|
| 769 |
+
"grad_norm": 0.08667002021610543,
|
| 770 |
+
"learning_rate": 0.00019911068560325804,
|
| 771 |
+
"loss": 0.8893,
|
| 772 |
"step": 540
|
| 773 |
},
|
| 774 |
{
|
| 775 |
+
"epoch": 0.9167367535744323,
|
| 776 |
+
"grad_norm": 0.1020909544402857,
|
| 777 |
+
"learning_rate": 0.00019702282913642723,
|
| 778 |
+
"loss": 0.8789,
|
| 779 |
"step": 545
|
| 780 |
},
|
| 781 |
{
|
| 782 |
+
"epoch": 0.9251471825063078,
|
| 783 |
+
"grad_norm": 0.8881918960589515,
|
| 784 |
+
"learning_rate": 0.00019492481988237818,
|
| 785 |
+
"loss": 1.0281,
|
| 786 |
"step": 550
|
| 787 |
},
|
| 788 |
{
|
| 789 |
+
"epoch": 0.9335576114381834,
|
| 790 |
+
"grad_norm": 1.7309452103787781,
|
| 791 |
+
"learning_rate": 0.00019281711082622314,
|
| 792 |
+
"loss": 1.5781,
|
| 793 |
"step": 555
|
| 794 |
},
|
| 795 |
{
|
| 796 |
+
"epoch": 0.9419680403700589,
|
| 797 |
+
"grad_norm": 0.9824981029734958,
|
| 798 |
+
"learning_rate": 0.000190700157047377,
|
| 799 |
+
"loss": 1.9042,
|
| 800 |
"step": 560
|
| 801 |
},
|
| 802 |
{
|
| 803 |
+
"epoch": 0.9503784693019344,
|
| 804 |
+
"grad_norm": 30.47237068603654,
|
| 805 |
+
"learning_rate": 0.0001885744156212999,
|
| 806 |
+
"loss": 2.2642,
|
| 807 |
"step": 565
|
| 808 |
},
|
| 809 |
{
|
| 810 |
+
"epoch": 0.95878889823381,
|
| 811 |
+
"grad_norm": 13.132455734206328,
|
| 812 |
+
"learning_rate": 0.0001864403455208094,
|
| 813 |
+
"loss": 2.0529,
|
| 814 |
"step": 570
|
| 815 |
},
|
| 816 |
{
|
| 817 |
+
"epoch": 0.9671993271656855,
|
| 818 |
+
"grad_norm": 1.5514837112811664,
|
| 819 |
+
"learning_rate": 0.00018429840751698284,
|
| 820 |
+
"loss": 1.882,
|
| 821 |
"step": 575
|
| 822 |
},
|
| 823 |
{
|
| 824 |
+
"epoch": 0.975609756097561,
|
| 825 |
+
"grad_norm": 0.7978250850775721,
|
| 826 |
+
"learning_rate": 0.00018214906407967136,
|
| 827 |
+
"loss": 1.0936,
|
| 828 |
"step": 580
|
| 829 |
},
|
| 830 |
{
|
| 831 |
+
"epoch": 0.9840201850294366,
|
| 832 |
+
"grad_norm": 0.24502338468242643,
|
| 833 |
+
"learning_rate": 0.00017999277927764696,
|
| 834 |
+
"loss": 0.9768,
|
| 835 |
"step": 585
|
| 836 |
},
|
| 837 |
{
|
| 838 |
+
"epoch": 0.992430613961312,
|
| 839 |
+
"grad_norm": 0.14072495383675704,
|
| 840 |
+
"learning_rate": 0.00017783001867840488,
|
| 841 |
+
"loss": 0.991,
|
| 842 |
"step": 590
|
| 843 |
},
|
| 844 |
{
|
| 845 |
+
"epoch": 1.0,
|
| 846 |
+
"grad_norm": 0.14826034089833667,
|
| 847 |
+
"learning_rate": 0.00017566124924764176,
|
| 848 |
+
"loss": 0.9232,
|
| 849 |
"step": 595
|
| 850 |
},
|
| 851 |
{
|
| 852 |
+
"epoch": 1.0084104289318756,
|
| 853 |
+
"grad_norm": 0.1423011247047076,
|
| 854 |
+
"learning_rate": 0.00017348693924843238,
|
| 855 |
+
"loss": 0.7383,
|
| 856 |
"step": 600
|
| 857 |
},
|
| 858 |
{
|
| 859 |
+
"epoch": 1.016820857863751,
|
| 860 |
+
"grad_norm": 18.945959105143892,
|
| 861 |
+
"learning_rate": 0.00017130755814012607,
|
| 862 |
+
"loss": 0.8006,
|
| 863 |
"step": 605
|
| 864 |
},
|
| 865 |
{
|
| 866 |
+
"epoch": 1.0252312867956266,
|
| 867 |
+
"grad_norm": 0.2063458884840928,
|
| 868 |
+
"learning_rate": 0.0001691235764769848,
|
| 869 |
+
"loss": 0.7464,
|
| 870 |
"step": 610
|
| 871 |
},
|
| 872 |
{
|
| 873 |
+
"epoch": 1.0336417157275022,
|
| 874 |
+
"grad_norm": 0.10576479121191024,
|
| 875 |
+
"learning_rate": 0.00016693546580658493,
|
| 876 |
+
"loss": 0.7066,
|
| 877 |
"step": 615
|
| 878 |
},
|
| 879 |
{
|
| 880 |
+
"epoch": 1.0420521446593776,
|
| 881 |
+
"grad_norm": 0.10366396212312518,
|
| 882 |
+
"learning_rate": 0.00016474369856800457,
|
| 883 |
+
"loss": 0.7339,
|
| 884 |
"step": 620
|
| 885 |
},
|
| 886 |
{
|
| 887 |
+
"epoch": 1.0504625735912532,
|
| 888 |
+
"grad_norm": 0.09658540475190697,
|
| 889 |
+
"learning_rate": 0.00016254874798981835,
|
| 890 |
+
"loss": 0.7111,
|
| 891 |
"step": 625
|
| 892 |
},
|
| 893 |
{
|
| 894 |
+
"epoch": 1.0588730025231288,
|
| 895 |
+
"grad_norm": 0.08877086888965659,
|
| 896 |
+
"learning_rate": 0.00016035108798792165,
|
| 897 |
+
"loss": 0.71,
|
| 898 |
"step": 630
|
| 899 |
},
|
| 900 |
{
|
| 901 |
+
"epoch": 1.0672834314550042,
|
| 902 |
+
"grad_norm": 0.10967646061522097,
|
| 903 |
+
"learning_rate": 0.00015815119306320657,
|
| 904 |
+
"loss": 0.7296,
|
| 905 |
"step": 635
|
| 906 |
},
|
| 907 |
{
|
| 908 |
+
"epoch": 1.0756938603868798,
|
| 909 |
+
"grad_norm": 0.0933812784388927,
|
| 910 |
+
"learning_rate": 0.0001559495381991117,
|
| 911 |
+
"loss": 0.7361,
|
| 912 |
"step": 640
|
| 913 |
},
|
| 914 |
{
|
| 915 |
+
"epoch": 1.0841042893187554,
|
| 916 |
+
"grad_norm": 0.19214296231083186,
|
| 917 |
+
"learning_rate": 0.00015374659875906752,
|
| 918 |
+
"loss": 0.7134,
|
| 919 |
"step": 645
|
| 920 |
},
|
| 921 |
{
|
| 922 |
+
"epoch": 1.0925147182506307,
|
| 923 |
+
"grad_norm": 0.11688119487848063,
|
| 924 |
+
"learning_rate": 0.00015154285038385937,
|
| 925 |
+
"loss": 0.6893,
|
| 926 |
"step": 650
|
| 927 |
},
|
| 928 |
{
|
| 929 |
+
"epoch": 1.1009251471825063,
|
| 930 |
+
"grad_norm": 0.09391812895085212,
|
| 931 |
+
"learning_rate": 0.00014933876888893164,
|
| 932 |
+
"loss": 0.6963,
|
| 933 |
"step": 655
|
| 934 |
},
|
| 935 |
{
|
| 936 |
+
"epoch": 1.1093355761143817,
|
| 937 |
+
"grad_norm": 0.10077136979307887,
|
| 938 |
+
"learning_rate": 0.0001471348301616531,
|
| 939 |
+
"loss": 0.7436,
|
| 940 |
"step": 660
|
| 941 |
},
|
| 942 |
{
|
| 943 |
+
"epoch": 1.1177460050462573,
|
| 944 |
+
"grad_norm": 0.08225000161444689,
|
| 945 |
+
"learning_rate": 0.00014493151005856724,
|
| 946 |
+
"loss": 0.7004,
|
| 947 |
"step": 665
|
| 948 |
},
|
| 949 |
{
|
| 950 |
+
"epoch": 1.126156433978133,
|
| 951 |
+
"grad_norm": 0.08801832379105524,
|
| 952 |
+
"learning_rate": 0.00014272928430264926,
|
| 953 |
+
"loss": 0.722,
|
| 954 |
"step": 670
|
| 955 |
},
|
| 956 |
{
|
| 957 |
+
"epoch": 1.1345668629100083,
|
| 958 |
+
"grad_norm": 0.07018288331194043,
|
| 959 |
+
"learning_rate": 0.00014052862838059195,
|
| 960 |
+
"loss": 0.6862,
|
| 961 |
"step": 675
|
| 962 |
},
|
| 963 |
{
|
| 964 |
+
"epoch": 1.142977291841884,
|
| 965 |
+
"grad_norm": 0.0767198314720291,
|
| 966 |
+
"learning_rate": 0.00013833001744014212,
|
| 967 |
+
"loss": 0.7101,
|
| 968 |
"step": 680
|
| 969 |
},
|
| 970 |
{
|
| 971 |
+
"epoch": 1.1513877207737595,
|
| 972 |
+
"grad_norm": 0.07407300906943415,
|
| 973 |
+
"learning_rate": 0.00013613392618751086,
|
| 974 |
+
"loss": 0.7175,
|
| 975 |
"step": 685
|
| 976 |
},
|
| 977 |
{
|
| 978 |
+
"epoch": 1.1597981497056349,
|
| 979 |
+
"grad_norm": 0.07352937678988827,
|
| 980 |
+
"learning_rate": 0.00013394082878487884,
|
| 981 |
+
"loss": 0.7004,
|
| 982 |
"step": 690
|
| 983 |
},
|
| 984 |
{
|
| 985 |
+
"epoch": 1.1682085786375105,
|
| 986 |
+
"grad_norm": 0.07551179793852605,
|
| 987 |
+
"learning_rate": 0.00013175119874801874,
|
| 988 |
+
"loss": 0.7054,
|
| 989 |
"step": 695
|
| 990 |
},
|
| 991 |
{
|
| 992 |
+
"epoch": 1.176619007569386,
|
| 993 |
+
"grad_norm": 0.07052660785539094,
|
| 994 |
+
"learning_rate": 0.000129565508844058,
|
| 995 |
+
"loss": 0.6789,
|
| 996 |
"step": 700
|
| 997 |
},
|
| 998 |
{
|
| 999 |
+
"epoch": 1.1850294365012615,
|
| 1000 |
+
"grad_norm": 0.0807185011796273,
|
| 1001 |
+
"learning_rate": 0.00012738423098940244,
|
| 1002 |
+
"loss": 0.6873,
|
| 1003 |
"step": 705
|
| 1004 |
},
|
| 1005 |
{
|
| 1006 |
+
"epoch": 1.193439865433137,
|
| 1007 |
+
"grad_norm": 0.1801375449127257,
|
| 1008 |
+
"learning_rate": 0.0001252078361478441,
|
| 1009 |
+
"loss": 0.7115,
|
| 1010 |
"step": 710
|
| 1011 |
},
|
| 1012 |
{
|
| 1013 |
+
"epoch": 1.2018502943650127,
|
| 1014 |
+
"grad_norm": 0.07403831159848352,
|
| 1015 |
+
"learning_rate": 0.00012303679422887457,
|
| 1016 |
+
"loss": 0.6882,
|
| 1017 |
"step": 715
|
| 1018 |
},
|
| 1019 |
{
|
| 1020 |
+
"epoch": 1.210260723296888,
|
| 1021 |
+
"grad_norm": 0.08819212786222724,
|
| 1022 |
+
"learning_rate": 0.00012087157398622575,
|
| 1023 |
+
"loss": 0.688,
|
| 1024 |
"step": 720
|
| 1025 |
},
|
| 1026 |
{
|
| 1027 |
+
"epoch": 1.2186711522287637,
|
| 1028 |
+
"grad_norm": 0.7006553252478528,
|
| 1029 |
+
"learning_rate": 0.0001187126429166605,
|
| 1030 |
+
"loss": 0.8005,
|
| 1031 |
"step": 725
|
| 1032 |
},
|
| 1033 |
{
|
| 1034 |
+
"epoch": 1.2270815811606393,
|
| 1035 |
+
"grad_norm": 0.08128464358584869,
|
| 1036 |
+
"learning_rate": 0.00011656046715903468,
|
| 1037 |
+
"loss": 0.6865,
|
| 1038 |
"step": 730
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
+
"epoch": 1.2354920100925146,
|
| 1042 |
+
"grad_norm": 0.11015841491813824,
|
| 1043 |
+
"learning_rate": 0.00011441551139365197,
|
| 1044 |
+
"loss": 0.6476,
|
| 1045 |
"step": 735
|
| 1046 |
},
|
| 1047 |
{
|
| 1048 |
+
"epoch": 1.2439024390243902,
|
| 1049 |
+
"grad_norm": 0.09681229577155445,
|
| 1050 |
+
"learning_rate": 0.0001122782387419339,
|
| 1051 |
+
"loss": 0.6525,
|
| 1052 |
"step": 740
|
| 1053 |
},
|
| 1054 |
{
|
| 1055 |
+
"epoch": 1.2523128679562658,
|
| 1056 |
+
"grad_norm": 0.07074288159266276,
|
| 1057 |
+
"learning_rate": 0.00011014911066642675,
|
| 1058 |
+
"loss": 0.7101,
|
| 1059 |
"step": 745
|
| 1060 |
},
|
| 1061 |
{
|
| 1062 |
+
"epoch": 1.2607232968881412,
|
| 1063 |
+
"grad_norm": 0.07038355444461111,
|
| 1064 |
+
"learning_rate": 0.00010802858687116586,
|
| 1065 |
+
"loss": 0.685,
|
| 1066 |
"step": 750
|
| 1067 |
},
|
| 1068 |
{
|
| 1069 |
+
"epoch": 1.2691337258200168,
|
| 1070 |
+
"grad_norm": 0.06694809495021711,
|
| 1071 |
+
"learning_rate": 0.00010591712520242033,
|
| 1072 |
+
"loss": 0.6435,
|
| 1073 |
"step": 755
|
| 1074 |
},
|
| 1075 |
{
|
| 1076 |
+
"epoch": 1.2775441547518924,
|
| 1077 |
+
"grad_norm": 1.54283051971332,
|
| 1078 |
+
"learning_rate": 0.00010381518154983872,
|
| 1079 |
+
"loss": 0.6707,
|
| 1080 |
"step": 760
|
| 1081 |
},
|
| 1082 |
{
|
| 1083 |
+
"epoch": 1.2859545836837678,
|
| 1084 |
+
"grad_norm": 0.14970032839830041,
|
| 1085 |
+
"learning_rate": 0.00010172320974801662,
|
| 1086 |
+
"loss": 0.6541,
|
| 1087 |
"step": 765
|
| 1088 |
},
|
| 1089 |
{
|
| 1090 |
+
"epoch": 1.2943650126156434,
|
| 1091 |
+
"grad_norm": 0.07670287277238487,
|
| 1092 |
+
"learning_rate": 9.964166147850868e-05,
|
| 1093 |
+
"loss": 0.6746,
|
| 1094 |
"step": 770
|
| 1095 |
},
|
| 1096 |
{
|
| 1097 |
+
"epoch": 1.302775441547519,
|
| 1098 |
+
"grad_norm": 0.0743406403000032,
|
| 1099 |
+
"learning_rate": 9.757098617230529e-05,
|
| 1100 |
+
"loss": 0.6622,
|
| 1101 |
"step": 775
|
| 1102 |
},
|
| 1103 |
{
|
| 1104 |
+
"epoch": 1.3111858704793944,
|
| 1105 |
+
"grad_norm": 0.06797759191808586,
|
| 1106 |
+
"learning_rate": 9.551163091279481e-05,
|
| 1107 |
+
"loss": 0.6556,
|
| 1108 |
"step": 780
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
+
"epoch": 1.31959629941127,
|
| 1112 |
+
"grad_norm": 0.07795583221869067,
|
| 1113 |
+
"learning_rate": 9.346404033923304e-05,
|
| 1114 |
+
"loss": 0.6617,
|
| 1115 |
"step": 785
|
| 1116 |
},
|
| 1117 |
{
|
| 1118 |
+
"epoch": 1.3280067283431456,
|
| 1119 |
+
"grad_norm": 0.087821277333218,
|
| 1120 |
+
"learning_rate": 9.14286565507406e-05,
|
| 1121 |
+
"loss": 0.71,
|
| 1122 |
"step": 790
|
| 1123 |
},
|
| 1124 |
{
|
| 1125 |
+
"epoch": 1.336417157275021,
|
| 1126 |
+
"grad_norm": 0.0680393967098423,
|
| 1127 |
+
"learning_rate": 8.940591901084799e-05,
|
| 1128 |
+
"loss": 0.666,
|
| 1129 |
"step": 795
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
+
"epoch": 1.3448275862068966,
|
| 1133 |
+
"grad_norm": 0.20717718965553744,
|
| 1134 |
+
"learning_rate": 8.739626445261064e-05,
|
| 1135 |
+
"loss": 0.657,
|
| 1136 |
"step": 800
|
| 1137 |
},
|
| 1138 |
{
|
| 1139 |
+
"epoch": 1.3532380151387722,
|
| 1140 |
+
"grad_norm": 0.07605217404928517,
|
| 1141 |
+
"learning_rate": 8.540012678431284e-05,
|
| 1142 |
+
"loss": 0.6679,
|
| 1143 |
"step": 805
|
| 1144 |
},
|
| 1145 |
{
|
| 1146 |
+
"epoch": 1.3616484440706476,
|
| 1147 |
+
"grad_norm": 0.09933554183914269,
|
| 1148 |
+
"learning_rate": 8.341793699578171e-05,
|
| 1149 |
+
"loss": 0.6879,
|
| 1150 |
"step": 810
|
| 1151 |
},
|
| 1152 |
{
|
| 1153 |
+
"epoch": 1.3700588730025232,
|
| 1154 |
+
"grad_norm": 0.07269335218428621,
|
| 1155 |
+
"learning_rate": 8.145012306533162e-05,
|
| 1156 |
+
"loss": 0.656,
|
| 1157 |
"step": 815
|
| 1158 |
},
|
| 1159 |
{
|
| 1160 |
+
"epoch": 1.3784693019343988,
|
| 1161 |
+
"grad_norm": 0.0938405449110704,
|
| 1162 |
+
"learning_rate": 7.949710986735854e-05,
|
| 1163 |
+
"loss": 0.6542,
|
| 1164 |
"step": 820
|
| 1165 |
},
|
| 1166 |
{
|
| 1167 |
+
"epoch": 1.3868797308662741,
|
| 1168 |
+
"grad_norm": 0.06387119139044767,
|
| 1169 |
+
"learning_rate": 7.755931908060427e-05,
|
| 1170 |
+
"loss": 0.6835,
|
| 1171 |
"step": 825
|
| 1172 |
},
|
| 1173 |
{
|
| 1174 |
+
"epoch": 1.3952901597981497,
|
| 1175 |
+
"grad_norm": 0.6498998302961293,
|
| 1176 |
+
"learning_rate": 7.563716909711155e-05,
|
| 1177 |
+
"loss": 0.6912,
|
| 1178 |
"step": 830
|
| 1179 |
},
|
| 1180 |
{
|
| 1181 |
+
"epoch": 1.4037005887300253,
|
| 1182 |
+
"grad_norm": 0.07172546327436916,
|
| 1183 |
+
"learning_rate": 7.373107493188776e-05,
|
| 1184 |
+
"loss": 0.6397,
|
| 1185 |
"step": 835
|
| 1186 |
},
|
| 1187 |
{
|
| 1188 |
+
"epoch": 1.4121110176619007,
|
| 1189 |
+
"grad_norm": 0.22055958275283316,
|
| 1190 |
+
"learning_rate": 7.184144813329845e-05,
|
| 1191 |
+
"loss": 0.665,
|
| 1192 |
"step": 840
|
| 1193 |
},
|
| 1194 |
{
|
| 1195 |
+
"epoch": 1.4205214465937763,
|
| 1196 |
+
"grad_norm": 0.08300391135437629,
|
| 1197 |
+
"learning_rate": 6.996869669420934e-05,
|
| 1198 |
+
"loss": 0.6781,
|
| 1199 |
"step": 845
|
| 1200 |
},
|
| 1201 |
{
|
| 1202 |
+
"epoch": 1.428931875525652,
|
| 1203 |
+
"grad_norm": 0.06921133210004143,
|
| 1204 |
+
"learning_rate": 6.811322496389547e-05,
|
| 1205 |
+
"loss": 0.6743,
|
| 1206 |
"step": 850
|
| 1207 |
},
|
| 1208 |
{
|
| 1209 |
+
"epoch": 1.4373423044575273,
|
| 1210 |
+
"grad_norm": 0.0711963752977775,
|
| 1211 |
+
"learning_rate": 6.627543356073752e-05,
|
| 1212 |
+
"loss": 0.6409,
|
| 1213 |
"step": 855
|
| 1214 |
},
|
| 1215 |
{
|
| 1216 |
+
"epoch": 1.445752733389403,
|
| 1217 |
+
"grad_norm": 0.06420927363983264,
|
| 1218 |
+
"learning_rate": 6.445571928572372e-05,
|
| 1219 |
+
"loss": 0.64,
|
| 1220 |
"step": 860
|
| 1221 |
},
|
| 1222 |
{
|
| 1223 |
+
"epoch": 1.4541631623212785,
|
| 1224 |
+
"grad_norm": 0.06501526947017142,
|
| 1225 |
+
"learning_rate": 6.265447503677568e-05,
|
| 1226 |
+
"loss": 0.7054,
|
| 1227 |
"step": 865
|
| 1228 |
},
|
| 1229 |
{
|
| 1230 |
+
"epoch": 1.462573591253154,
|
| 1231 |
+
"grad_norm": 0.21066994089465826,
|
| 1232 |
+
"learning_rate": 6.087208972391683e-05,
|
| 1233 |
+
"loss": 0.6918,
|
| 1234 |
"step": 870
|
| 1235 |
},
|
| 1236 |
{
|
| 1237 |
+
"epoch": 1.4709840201850295,
|
| 1238 |
+
"grad_norm": 0.08759599924052495,
|
| 1239 |
+
"learning_rate": 5.910894818530261e-05,
|
| 1240 |
+
"loss": 0.6709,
|
| 1241 |
"step": 875
|
| 1242 |
},
|
| 1243 |
{
|
| 1244 |
+
"epoch": 1.479394449116905,
|
| 1245 |
+
"grad_norm": 1.0585940281103237,
|
| 1246 |
+
"learning_rate": 5.736543110412889e-05,
|
| 1247 |
+
"loss": 0.7003,
|
| 1248 |
"step": 880
|
| 1249 |
},
|
| 1250 |
{
|
| 1251 |
+
"epoch": 1.4878048780487805,
|
| 1252 |
+
"grad_norm": 0.10929958796237216,
|
| 1253 |
+
"learning_rate": 5.564191492643813e-05,
|
| 1254 |
+
"loss": 0.6804,
|
| 1255 |
"step": 885
|
| 1256 |
},
|
| 1257 |
{
|
| 1258 |
+
"epoch": 1.496215306980656,
|
| 1259 |
+
"grad_norm": 0.07895221603568614,
|
| 1260 |
+
"learning_rate": 5.393877177984039e-05,
|
| 1261 |
+
"loss": 0.6609,
|
| 1262 |
"step": 890
|
| 1263 |
},
|
| 1264 |
{
|
| 1265 |
+
"epoch": 1.5046257359125317,
|
| 1266 |
+
"grad_norm": 0.0705592884671557,
|
| 1267 |
+
"learning_rate": 5.225636939316621e-05,
|
| 1268 |
+
"loss": 0.6438,
|
| 1269 |
"step": 895
|
| 1270 |
},
|
| 1271 |
{
|
| 1272 |
+
"epoch": 1.513036164844407,
|
| 1273 |
+
"grad_norm": 0.06645146330681664,
|
| 1274 |
+
"learning_rate": 5.059507101706976e-05,
|
| 1275 |
+
"loss": 0.658,
|
| 1276 |
"step": 900
|
| 1277 |
},
|
| 1278 |
{
|
| 1279 |
+
"epoch": 1.5214465937762824,
|
| 1280 |
+
"grad_norm": 0.06572346800316721,
|
| 1281 |
+
"learning_rate": 4.8955235345598825e-05,
|
| 1282 |
+
"loss": 0.6409,
|
| 1283 |
"step": 905
|
| 1284 |
},
|
| 1285 |
{
|
| 1286 |
+
"epoch": 1.5298570227081583,
|
| 1287 |
+
"grad_norm": 0.06268956414981779,
|
| 1288 |
+
"learning_rate": 4.7337216438748384e-05,
|
| 1289 |
+
"loss": 0.6657,
|
| 1290 |
"step": 910
|
| 1291 |
},
|
| 1292 |
{
|
| 1293 |
+
"epoch": 1.5382674516400336,
|
| 1294 |
+
"grad_norm": 0.0705504423985544,
|
| 1295 |
+
"learning_rate": 4.5741363646014696e-05,
|
| 1296 |
+
"loss": 0.6631,
|
| 1297 |
"step": 915
|
| 1298 |
},
|
| 1299 |
{
|
| 1300 |
+
"epoch": 1.546677880571909,
|
| 1301 |
+
"grad_norm": 0.06497073556361815,
|
| 1302 |
+
"learning_rate": 4.416802153096696e-05,
|
| 1303 |
+
"loss": 0.6319,
|
| 1304 |
"step": 920
|
| 1305 |
},
|
| 1306 |
{
|
| 1307 |
+
"epoch": 1.5550883095037848,
|
| 1308 |
+
"grad_norm": 0.32565910926601543,
|
| 1309 |
+
"learning_rate": 4.261752979685159e-05,
|
| 1310 |
+
"loss": 0.6691,
|
| 1311 |
"step": 925
|
| 1312 |
},
|
| 1313 |
{
|
| 1314 |
+
"epoch": 1.5634987384356602,
|
| 1315 |
+
"grad_norm": 0.05949233651666068,
|
| 1316 |
+
"learning_rate": 4.1090223213246404e-05,
|
| 1317 |
+
"loss": 0.6349,
|
| 1318 |
"step": 930
|
| 1319 |
},
|
| 1320 |
{
|
| 1321 |
+
"epoch": 1.5719091673675356,
|
| 1322 |
+
"grad_norm": 0.07160645769568097,
|
| 1323 |
+
"learning_rate": 3.958643154378005e-05,
|
| 1324 |
+
"loss": 0.6688,
|
| 1325 |
"step": 935
|
| 1326 |
},
|
| 1327 |
{
|
| 1328 |
+
"epoch": 1.5803195962994114,
|
| 1329 |
+
"grad_norm": 0.7327591054848349,
|
| 1330 |
+
"learning_rate": 3.8106479474931795e-05,
|
| 1331 |
+
"loss": 0.645,
|
| 1332 |
"step": 940
|
| 1333 |
},
|
| 1334 |
{
|
| 1335 |
+
"epoch": 1.5887300252312868,
|
| 1336 |
+
"grad_norm": 0.062156634516279057,
|
| 1337 |
+
"learning_rate": 3.665068654592806e-05,
|
| 1338 |
+
"loss": 0.6373,
|
| 1339 |
"step": 945
|
| 1340 |
},
|
| 1341 |
{
|
| 1342 |
+
"epoch": 1.5971404541631622,
|
| 1343 |
+
"grad_norm": 0.06660764066083266,
|
| 1344 |
+
"learning_rate": 3.5219367079750205e-05,
|
| 1345 |
+
"loss": 0.698,
|
| 1346 |
"step": 950
|
| 1347 |
},
|
| 1348 |
{
|
| 1349 |
+
"epoch": 1.6055508830950378,
|
| 1350 |
+
"grad_norm": 0.06327609087248642,
|
| 1351 |
+
"learning_rate": 3.381283011526819e-05,
|
| 1352 |
+
"loss": 0.6231,
|
| 1353 |
"step": 955
|
| 1354 |
},
|
| 1355 |
{
|
| 1356 |
+
"epoch": 1.6139613120269134,
|
| 1357 |
+
"grad_norm": 0.4333939216760815,
|
| 1358 |
+
"learning_rate": 3.243137934051569e-05,
|
| 1359 |
+
"loss": 0.6252,
|
| 1360 |
"step": 960
|
| 1361 |
},
|
| 1362 |
{
|
| 1363 |
+
"epoch": 1.6223717409587888,
|
| 1364 |
+
"grad_norm": 0.06658129188396517,
|
| 1365 |
+
"learning_rate": 3.1075313027120016e-05,
|
| 1366 |
+
"loss": 0.6726,
|
| 1367 |
"step": 965
|
| 1368 |
},
|
| 1369 |
{
|
| 1370 |
+
"epoch": 1.6307821698906644,
|
| 1371 |
+
"grad_norm": 0.26691445324073054,
|
| 1372 |
+
"learning_rate": 2.97449239659018e-05,
|
| 1373 |
+
"loss": 0.6342,
|
| 1374 |
"step": 970
|
| 1375 |
},
|
| 1376 |
{
|
| 1377 |
+
"epoch": 1.63919259882254,
|
| 1378 |
+
"grad_norm": 0.0605021899974428,
|
| 1379 |
+
"learning_rate": 2.8440499403658122e-05,
|
| 1380 |
+
"loss": 0.6332,
|
| 1381 |
"step": 975
|
| 1382 |
},
|
| 1383 |
{
|
| 1384 |
+
"epoch": 1.6476030277544154,
|
| 1385 |
+
"grad_norm": 0.061846457580604676,
|
| 1386 |
+
"learning_rate": 2.7162320981142316e-05,
|
| 1387 |
+
"loss": 0.651,
|
| 1388 |
"step": 980
|
| 1389 |
},
|
| 1390 |
{
|
| 1391 |
+
"epoch": 1.656013456686291,
|
| 1392 |
+
"grad_norm": 0.1452013715559192,
|
| 1393 |
+
"learning_rate": 2.5910664672254428e-05,
|
| 1394 |
+
"loss": 0.6646,
|
| 1395 |
"step": 985
|
| 1396 |
},
|
| 1397 |
{
|
| 1398 |
+
"epoch": 1.6644238856181666,
|
| 1399 |
+
"grad_norm": 0.06326743122936844,
|
| 1400 |
+
"learning_rate": 2.4685800724455384e-05,
|
| 1401 |
+
"loss": 0.6433,
|
| 1402 |
"step": 990
|
| 1403 |
},
|
| 1404 |
{
|
| 1405 |
+
"epoch": 1.672834314550042,
|
| 1406 |
+
"grad_norm": 0.07852388598087191,
|
| 1407 |
+
"learning_rate": 2.3487993600416967e-05,
|
| 1408 |
+
"loss": 0.6371,
|
| 1409 |
"step": 995
|
| 1410 |
},
|
| 1411 |
{
|
| 1412 |
+
"epoch": 1.6812447434819175,
|
| 1413 |
+
"grad_norm": 0.06601596346267856,
|
| 1414 |
+
"learning_rate": 2.2317501920921576e-05,
|
| 1415 |
+
"loss": 0.6471,
|
| 1416 |
"step": 1000
|
| 1417 |
},
|
| 1418 |
{
|
| 1419 |
+
"epoch": 1.6896551724137931,
|
| 1420 |
+
"grad_norm": 0.059266994188209014,
|
| 1421 |
+
"learning_rate": 2.1174578409022702e-05,
|
| 1422 |
+
"loss": 0.6699,
|
| 1423 |
"step": 1005
|
| 1424 |
},
|
| 1425 |
{
|
| 1426 |
+
"epoch": 1.6980656013456685,
|
| 1427 |
+
"grad_norm": 0.07452888371241441,
|
| 1428 |
+
"learning_rate": 2.0059469835479054e-05,
|
| 1429 |
+
"loss": 0.6473,
|
| 1430 |
"step": 1010
|
| 1431 |
},
|
| 1432 |
{
|
| 1433 |
+
"epoch": 1.7064760302775441,
|
| 1434 |
+
"grad_norm": 0.07457779730712975,
|
| 1435 |
+
"learning_rate": 1.8972416965473803e-05,
|
| 1436 |
+
"loss": 0.6378,
|
| 1437 |
"step": 1015
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
+
"epoch": 1.7148864592094197,
|
| 1441 |
+
"grad_norm": 0.06910347568006753,
|
| 1442 |
+
"learning_rate": 1.7913654506630655e-05,
|
| 1443 |
+
"loss": 0.6274,
|
| 1444 |
"step": 1020
|
| 1445 |
},
|
| 1446 |
{
|
| 1447 |
+
"epoch": 1.7232968881412951,
|
| 1448 |
+
"grad_norm": 0.07064622370312863,
|
| 1449 |
+
"learning_rate": 1.6883411058337543e-05,
|
| 1450 |
+
"loss": 0.7109,
|
| 1451 |
"step": 1025
|
| 1452 |
},
|
| 1453 |
{
|
| 1454 |
+
"epoch": 1.7317073170731707,
|
| 1455 |
+
"grad_norm": 0.06048167956891708,
|
| 1456 |
+
"learning_rate": 1.5881909062389285e-05,
|
| 1457 |
+
"loss": 0.6333,
|
| 1458 |
"step": 1030
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
+
"epoch": 1.7401177460050463,
|
| 1462 |
+
"grad_norm": 0.06307286865715722,
|
| 1463 |
+
"learning_rate": 1.4909364754959985e-05,
|
| 1464 |
+
"loss": 0.646,
|
| 1465 |
"step": 1035
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
+
"epoch": 1.7485281749369217,
|
| 1469 |
+
"grad_norm": 0.05911925581755182,
|
| 1470 |
+
"learning_rate": 1.3965988119914734e-05,
|
| 1471 |
+
"loss": 0.6433,
|
| 1472 |
"step": 1040
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
+
"epoch": 1.7569386038687973,
|
| 1476 |
+
"grad_norm": 0.06333975944083138,
|
| 1477 |
+
"learning_rate": 1.305198284347191e-05,
|
| 1478 |
+
"loss": 0.6339,
|
| 1479 |
"step": 1045
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
+
"epoch": 1.765349032800673,
|
| 1483 |
+
"grad_norm": 0.05514146566145015,
|
| 1484 |
+
"learning_rate": 1.2167546270224743e-05,
|
| 1485 |
+
"loss": 0.6264,
|
| 1486 |
"step": 1050
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
+
"epoch": 1.7737594617325483,
|
| 1490 |
+
"grad_norm": 0.05609433763926122,
|
| 1491 |
+
"learning_rate": 1.1312869360532295e-05,
|
| 1492 |
+
"loss": 0.6337,
|
| 1493 |
"step": 1055
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
+
"epoch": 1.7821698906644239,
|
| 1497 |
+
"grad_norm": 0.05988904119560809,
|
| 1498 |
+
"learning_rate": 1.0488136649288847e-05,
|
| 1499 |
+
"loss": 0.6215,
|
| 1500 |
"step": 1060
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
+
"epoch": 1.7905803195962995,
|
| 1504 |
+
"grad_norm": 0.09114152521890548,
|
| 1505 |
+
"learning_rate": 9.693526206080693e-06,
|
| 1506 |
+
"loss": 0.6385,
|
| 1507 |
"step": 1065
|
| 1508 |
},
|
| 1509 |
{
|
| 1510 |
+
"epoch": 1.7989907485281749,
|
| 1511 |
+
"grad_norm": 0.09735030405268541,
|
| 1512 |
+
"learning_rate": 8.929209596738706e-06,
|
| 1513 |
+
"loss": 0.6077,
|
| 1514 |
"step": 1070
|
| 1515 |
},
|
| 1516 |
{
|
| 1517 |
+
"epoch": 1.8074011774600505,
|
| 1518 |
+
"grad_norm": 0.0635144022515458,
|
| 1519 |
+
"learning_rate": 8.195351846295262e-06,
|
| 1520 |
+
"loss": 0.6647,
|
| 1521 |
"step": 1075
|
| 1522 |
},
|
| 1523 |
{
|
| 1524 |
+
"epoch": 1.815811606391926,
|
| 1525 |
+
"grad_norm": 0.08588808547970551,
|
| 1526 |
+
"learning_rate": 7.492111403353462e-06,
|
| 1527 |
+
"loss": 0.6523,
|
| 1528 |
"step": 1080
|
| 1529 |
},
|
| 1530 |
{
|
| 1531 |
+
"epoch": 1.8242220353238014,
|
| 1532 |
+
"grad_norm": 0.057867203058913214,
|
| 1533 |
+
"learning_rate": 6.819640105876062e-06,
|
| 1534 |
+
"loss": 0.6347,
|
| 1535 |
"step": 1085
|
| 1536 |
},
|
| 1537 |
{
|
| 1538 |
+
"epoch": 1.832632464255677,
|
| 1539 |
+
"grad_norm": 0.07139018525983484,
|
| 1540 |
+
"learning_rate": 6.1780831484019684e-06,
|
| 1541 |
+
"loss": 0.6247,
|
| 1542 |
"step": 1090
|
| 1543 |
},
|
| 1544 |
{
|
| 1545 |
+
"epoch": 1.8410428931875527,
|
| 1546 |
+
"grad_norm": 0.058328293614124185,
|
| 1547 |
+
"learning_rate": 5.567579050696957e-06,
|
| 1548 |
+
"loss": 0.6387,
|
| 1549 |
"step": 1095
|
| 1550 |
},
|
| 1551 |
{
|
| 1552 |
+
"epoch": 1.849453322119428,
|
| 1553 |
+
"grad_norm": 0.05729437886303193,
|
| 1554 |
+
"learning_rate": 4.9882596278455756e-06,
|
| 1555 |
+
"loss": 0.6443,
|
| 1556 |
"step": 1100
|
| 1557 |
},
|
| 1558 |
{
|
| 1559 |
+
"epoch": 1.8578637510513036,
|
| 1560 |
+
"grad_norm": 0.05592472433203098,
|
| 1561 |
+
"learning_rate": 4.440249961790826e-06,
|
| 1562 |
+
"loss": 0.5956,
|
| 1563 |
"step": 1105
|
| 1564 |
},
|
| 1565 |
{
|
| 1566 |
+
"epoch": 1.8662741799831792,
|
| 1567 |
+
"grad_norm": 0.06609120678589044,
|
| 1568 |
+
"learning_rate": 3.923668374327338e-06,
|
| 1569 |
+
"loss": 0.6619,
|
| 1570 |
"step": 1110
|
| 1571 |
},
|
| 1572 |
{
|
| 1573 |
+
"epoch": 1.8746846089150546,
|
| 1574 |
+
"grad_norm": 0.05566880083508612,
|
| 1575 |
+
"learning_rate": 3.438626401554351e-06,
|
| 1576 |
+
"loss": 0.6077,
|
| 1577 |
"step": 1115
|
| 1578 |
},
|
| 1579 |
{
|
| 1580 |
+
"epoch": 1.8830950378469302,
|
| 1581 |
+
"grad_norm": 0.05589315119066426,
|
| 1582 |
+
"learning_rate": 2.9852287697938125e-06,
|
| 1583 |
+
"loss": 0.6408,
|
| 1584 |
"step": 1120
|
| 1585 |
},
|
| 1586 |
{
|
| 1587 |
+
"epoch": 1.8915054667788058,
|
| 1588 |
+
"grad_norm": 0.06795657947769265,
|
| 1589 |
+
"learning_rate": 2.563573372978617e-06,
|
| 1590 |
+
"loss": 0.6465,
|
| 1591 |
"step": 1125
|
| 1592 |
},
|
| 1593 |
{
|
| 1594 |
+
"epoch": 1.8999158957106812,
|
| 1595 |
+
"grad_norm": 0.05715913746496311,
|
| 1596 |
+
"learning_rate": 2.173751251516209e-06,
|
| 1597 |
+
"loss": 0.6673,
|
| 1598 |
"step": 1130
|
| 1599 |
},
|
| 1600 |
{
|
| 1601 |
+
"epoch": 1.9083263246425568,
|
| 1602 |
+
"grad_norm": 0.07516171647382662,
|
| 1603 |
+
"learning_rate": 1.8158465726318294e-06,
|
| 1604 |
+
"loss": 0.6135,
|
| 1605 |
"step": 1135
|
| 1606 |
},
|
| 1607 |
{
|
| 1608 |
+
"epoch": 1.9167367535744324,
|
| 1609 |
+
"grad_norm": 0.08828033210229927,
|
| 1610 |
+
"learning_rate": 1.4899366121958634e-06,
|
| 1611 |
+
"loss": 0.6472,
|
| 1612 |
"step": 1140
|
| 1613 |
},
|
| 1614 |
{
|
| 1615 |
+
"epoch": 1.9251471825063078,
|
| 1616 |
+
"grad_norm": 0.05375437444470602,
|
| 1617 |
+
"learning_rate": 1.19609173803904e-06,
|
| 1618 |
+
"loss": 0.5937,
|
| 1619 |
"step": 1145
|
| 1620 |
},
|
| 1621 |
{
|
| 1622 |
+
"epoch": 1.9335576114381834,
|
| 1623 |
+
"grad_norm": 0.07199465636203523,
|
| 1624 |
+
"learning_rate": 9.343753947591681e-07,
|
| 1625 |
+
"loss": 0.6219,
|
| 1626 |
"step": 1150
|
| 1627 |
},
|
| 1628 |
{
|
| 1629 |
+
"epoch": 1.941968040370059,
|
| 1630 |
+
"grad_norm": 0.11526483170723129,
|
| 1631 |
+
"learning_rate": 7.048440900226937e-07,
|
| 1632 |
+
"loss": 0.6342,
|
| 1633 |
"step": 1155
|
| 1634 |
},
|
| 1635 |
{
|
| 1636 |
+
"epoch": 1.9503784693019344,
|
| 1637 |
+
"grad_norm": 0.05354167010798482,
|
| 1638 |
+
"learning_rate": 5.075473823640597e-07,
|
| 1639 |
+
"loss": 0.6553,
|
| 1640 |
"step": 1160
|
| 1641 |
},
|
| 1642 |
{
|
| 1643 |
+
"epoch": 1.95878889823381,
|
| 1644 |
+
"grad_norm": 0.09214456642437543,
|
| 1645 |
+
"learning_rate": 3.425278704853984e-07,
|
| 1646 |
+
"loss": 0.6636,
|
| 1647 |
"step": 1165
|
| 1648 |
},
|
| 1649 |
{
|
| 1650 |
+
"epoch": 1.9671993271656856,
|
| 1651 |
+
"grad_norm": 0.06917853774104925,
|
| 1652 |
+
"learning_rate": 2.0982118405897251e-07,
|
| 1653 |
+
"loss": 0.6319,
|
| 1654 |
"step": 1170
|
| 1655 |
},
|
| 1656 |
{
|
| 1657 |
+
"epoch": 1.975609756097561,
|
| 1658 |
+
"grad_norm": 0.05500253350216091,
|
| 1659 |
+
"learning_rate": 1.0945597603431167e-07,
|
| 1660 |
+
"loss": 0.6157,
|
| 1661 |
"step": 1175
|
| 1662 |
},
|
| 1663 |
{
|
| 1664 |
+
"epoch": 1.9840201850294366,
|
| 1665 |
+
"grad_norm": 0.056648521587817115,
|
| 1666 |
+
"learning_rate": 4.145391645166141e-08,
|
| 1667 |
+
"loss": 0.654,
|
| 1668 |
"step": 1180
|
| 1669 |
},
|
| 1670 |
{
|
| 1671 |
+
"epoch": 1.9924306139613122,
|
| 1672 |
+
"grad_norm": 0.06416190308164577,
|
| 1673 |
+
"learning_rate": 5.829687763259094e-09,
|
| 1674 |
+
"loss": 0.6517,
|
| 1675 |
"step": 1185
|
| 1676 |
},
|
| 1677 |
{
|
| 1678 |
+
"epoch": 1.9974768713204374,
|
| 1679 |
+
"step": 1188,
|
| 1680 |
+
"total_flos": 7.94530881371059e+18,
|
| 1681 |
+
"train_loss": 0.9845614412216225,
|
| 1682 |
+
"train_runtime": 14065.2912,
|
| 1683 |
+
"train_samples_per_second": 2.704,
|
| 1684 |
+
"train_steps_per_second": 0.084
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1685 |
}
|
| 1686 |
],
|
| 1687 |
"logging_steps": 5,
|
| 1688 |
+
"max_steps": 1188,
|
| 1689 |
"num_input_tokens_seen": 0,
|
| 1690 |
"num_train_epochs": 2,
|
| 1691 |
"save_steps": 500,
|
|
|
|
| 1701 |
"attributes": {}
|
| 1702 |
}
|
| 1703 |
},
|
| 1704 |
+
"total_flos": 7.94530881371059e+18,
|
| 1705 |
"train_batch_size": 1,
|
| 1706 |
"trial_name": null,
|
| 1707 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7cf86e3b1d316706389f0d7af6c67868a130c45a08cd5cb5e3d62359830be1c
|
| 3 |
+
size 7032
|