Training in progress, epoch 31, checkpoint
Browse files- checkpoint-7750/adapter_config.json +1 -1
- checkpoint-7750/adapter_model.bin +3 -0
- checkpoint-7750/added_tokens.json +3 -3
- checkpoint-7750/optimizer.pt +2 -2
- checkpoint-7750/rng_state_0.pth +1 -1
- checkpoint-7750/rng_state_1.pth +1 -1
- checkpoint-7750/rng_state_2.pth +1 -1
- checkpoint-7750/rng_state_3.pth +1 -1
- checkpoint-7750/special_tokens_map.json +4 -12
- checkpoint-7750/tokenizer.json +0 -0
- checkpoint-7750/tokenizer.model +3 -0
- checkpoint-7750/tokenizer_config.json +17 -20
- checkpoint-7750/trainer_state.json +295 -386
- checkpoint-7750/training_args.bin +2 -2
checkpoint-7750/adapter_config.json
CHANGED
|
@@ -1,6 +1,6 @@
|
|
| 1 |
{
|
| 2 |
"auto_mapping": null,
|
| 3 |
-
"base_model_name_or_path": "
|
| 4 |
"bias": "none",
|
| 5 |
"fan_in_fan_out": false,
|
| 6 |
"inference_mode": true,
|
|
|
|
| 1 |
{
|
| 2 |
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "meta-llama/Llama-2-7b-hf",
|
| 4 |
"bias": "none",
|
| 5 |
"fan_in_fan_out": false,
|
| 6 |
"inference_mode": true,
|
checkpoint-7750/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d48152d9cb77ffcbd5a37d6a632d475dd4d4c1f7336f0b64d48a00f92d39f1b0
|
| 3 |
+
size 143269386
|
checkpoint-7750/added_tokens.json
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"</s>": 2,
|
| 3 |
+
"<s>": 1,
|
| 4 |
+
"<unk>": 0
|
| 5 |
}
|
checkpoint-7750/optimizer.pt
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 sha256:0b5c9b818035afd142a6879a61bc3821b46204c155823d7917e5949afb9aadb2
|
| 3 |
+
size 286585234
|
checkpoint-7750/rng_state_0.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a0d81d12d25be272c7e901522801a64bf891ebad96a56c817e400c471f9b9ec
|
| 3 |
size 15024
|
checkpoint-7750/rng_state_1.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c5342e9709419dca846014fb07783f30d6a0b2bd39c9987c4694409732d20407
|
| 3 |
size 15024
|
checkpoint-7750/rng_state_2.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3ca971fe0438c2b3927b0dd43f59379ba102c7be98e5cc7b76a279f663d126f8
|
| 3 |
size 15024
|
checkpoint-7750/rng_state_3.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15024
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dedb5f3b80949356355dc74f9e1267d55da2333d78f1027ee7420b128ede03d6
|
| 3 |
size 15024
|
checkpoint-7750/special_tokens_map.json
CHANGED
|
@@ -1,14 +1,6 @@
|
|
| 1 |
{
|
| 2 |
-
"
|
| 3 |
-
|
| 4 |
-
|
| 5 |
-
|
| 6 |
-
"eos_token": {
|
| 7 |
-
"content": "<|endoftext|>",
|
| 8 |
-
"lstrip": false,
|
| 9 |
-
"normalized": false,
|
| 10 |
-
"rstrip": false,
|
| 11 |
-
"single_word": false
|
| 12 |
-
},
|
| 13 |
-
"pad_token": "<|endoftext|>"
|
| 14 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"bos_token": "<s>",
|
| 3 |
+
"eos_token": "</s>",
|
| 4 |
+
"pad_token": "</s>",
|
| 5 |
+
"unk_token": "<unk>"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
}
|
checkpoint-7750/tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-7750/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
checkpoint-7750/tokenizer_config.json
CHANGED
|
@@ -1,24 +1,23 @@
|
|
| 1 |
{
|
| 2 |
-
"add_prefix_space": false,
|
| 3 |
"added_tokens_decoder": {
|
| 4 |
-
"
|
| 5 |
-
"content": "
|
| 6 |
"lstrip": false,
|
| 7 |
"normalized": false,
|
| 8 |
"rstrip": false,
|
| 9 |
"single_word": false,
|
| 10 |
"special": true
|
| 11 |
},
|
| 12 |
-
"
|
| 13 |
-
"content": "
|
| 14 |
"lstrip": false,
|
| 15 |
"normalized": false,
|
| 16 |
"rstrip": false,
|
| 17 |
"single_word": false,
|
| 18 |
"special": true
|
| 19 |
},
|
| 20 |
-
"
|
| 21 |
-
"content": "
|
| 22 |
"lstrip": false,
|
| 23 |
"normalized": false,
|
| 24 |
"rstrip": false,
|
|
@@ -26,18 +25,16 @@
|
|
| 26 |
"special": true
|
| 27 |
}
|
| 28 |
},
|
| 29 |
-
"additional_special_tokens": [
|
| 30 |
-
|
| 31 |
-
"<|im_end|>"
|
| 32 |
-
],
|
| 33 |
-
"bos_token": null,
|
| 34 |
-
"chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 35 |
"clean_up_tokenization_spaces": false,
|
| 36 |
-
"eos_token": "
|
| 37 |
-
"
|
| 38 |
-
"model_max_length":
|
| 39 |
-
"pad_token": "
|
| 40 |
-
"
|
| 41 |
-
"
|
| 42 |
-
"
|
|
|
|
|
|
|
| 43 |
}
|
|
|
|
| 1 |
{
|
|
|
|
| 2 |
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "<unk>",
|
| 5 |
"lstrip": false,
|
| 6 |
"normalized": false,
|
| 7 |
"rstrip": false,
|
| 8 |
"single_word": false,
|
| 9 |
"special": true
|
| 10 |
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "<s>",
|
| 13 |
"lstrip": false,
|
| 14 |
"normalized": false,
|
| 15 |
"rstrip": false,
|
| 16 |
"single_word": false,
|
| 17 |
"special": true
|
| 18 |
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "</s>",
|
| 21 |
"lstrip": false,
|
| 22 |
"normalized": false,
|
| 23 |
"rstrip": false,
|
|
|
|
| 25 |
"special": true
|
| 26 |
}
|
| 27 |
},
|
| 28 |
+
"additional_special_tokens": [],
|
| 29 |
+
"bos_token": "<s>",
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
"clean_up_tokenization_spaces": false,
|
| 31 |
+
"eos_token": "</s>",
|
| 32 |
+
"legacy": false,
|
| 33 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 34 |
+
"pad_token": "</s>",
|
| 35 |
+
"padding_side": "left",
|
| 36 |
+
"sp_model_kwargs": {},
|
| 37 |
+
"tokenizer_class": "LlamaTokenizer",
|
| 38 |
+
"unk_token": "<unk>",
|
| 39 |
+
"use_default_system_prompt": true
|
| 40 |
}
|
checkpoint-7750/trainer_state.json
CHANGED
|
@@ -10,1028 +10,937 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.4,
|
| 13 |
-
"grad_norm": 0.5897082090377808,
|
| 14 |
"learning_rate": 0.0001,
|
| 15 |
-
"loss": 2.
|
| 16 |
"step": 100
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.8,
|
| 20 |
-
"grad_norm": 0.5390245914459229,
|
| 21 |
"learning_rate": 0.0001,
|
| 22 |
-
"loss":
|
| 23 |
"step": 200
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 1.0,
|
| 27 |
-
"eval_accuracy": 0.
|
| 28 |
-
"eval_loss":
|
| 29 |
-
"eval_runtime":
|
| 30 |
-
"eval_samples_per_second":
|
| 31 |
-
"eval_steps_per_second":
|
| 32 |
"step": 250
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 1.0,
|
| 36 |
-
"eval_exact_match":
|
| 37 |
-
"eval_f1":
|
| 38 |
"step": 250
|
| 39 |
},
|
| 40 |
{
|
| 41 |
"epoch": 1.2,
|
| 42 |
-
"grad_norm": 0.7468857169151306,
|
| 43 |
"learning_rate": 0.0001,
|
| 44 |
-
"loss":
|
| 45 |
"step": 300
|
| 46 |
},
|
| 47 |
{
|
| 48 |
"epoch": 1.6,
|
| 49 |
-
"grad_norm": 0.9109599590301514,
|
| 50 |
"learning_rate": 0.0001,
|
| 51 |
-
"loss":
|
| 52 |
"step": 400
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 2.0,
|
| 56 |
-
"grad_norm": 0.8458774089813232,
|
| 57 |
"learning_rate": 0.0001,
|
| 58 |
-
"loss":
|
| 59 |
"step": 500
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 2.0,
|
| 63 |
-
"eval_accuracy": 0.
|
| 64 |
-
"eval_loss":
|
| 65 |
-
"eval_runtime":
|
| 66 |
-
"eval_samples_per_second":
|
| 67 |
-
"eval_steps_per_second":
|
| 68 |
"step": 500
|
| 69 |
},
|
| 70 |
{
|
| 71 |
"epoch": 2.0,
|
| 72 |
-
"eval_exact_match":
|
| 73 |
-
"eval_f1":
|
| 74 |
"step": 500
|
| 75 |
},
|
| 76 |
{
|
| 77 |
"epoch": 2.4,
|
| 78 |
-
"grad_norm": 1.171212077140808,
|
| 79 |
"learning_rate": 0.0001,
|
| 80 |
-
"loss": 1.
|
| 81 |
"step": 600
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 2.8,
|
| 85 |
-
"grad_norm": 1.1294909715652466,
|
| 86 |
"learning_rate": 0.0001,
|
| 87 |
-
"loss": 1.
|
| 88 |
"step": 700
|
| 89 |
},
|
| 90 |
{
|
| 91 |
"epoch": 3.0,
|
| 92 |
-
"eval_accuracy": 0.
|
| 93 |
-
"eval_loss":
|
| 94 |
-
"eval_runtime":
|
| 95 |
-
"eval_samples_per_second":
|
| 96 |
-
"eval_steps_per_second":
|
| 97 |
"step": 750
|
| 98 |
},
|
| 99 |
{
|
| 100 |
"epoch": 3.0,
|
| 101 |
-
"eval_exact_match":
|
| 102 |
-
"eval_f1":
|
| 103 |
"step": 750
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"epoch": 3.2,
|
| 107 |
-
"grad_norm": 1.5013824701309204,
|
| 108 |
"learning_rate": 0.0001,
|
| 109 |
-
"loss": 1.
|
| 110 |
"step": 800
|
| 111 |
},
|
| 112 |
{
|
| 113 |
"epoch": 3.6,
|
| 114 |
-
"grad_norm": 1.4516321420669556,
|
| 115 |
"learning_rate": 0.0001,
|
| 116 |
-
"loss": 1.
|
| 117 |
"step": 900
|
| 118 |
},
|
| 119 |
{
|
| 120 |
"epoch": 4.0,
|
| 121 |
-
"grad_norm": 1.6037466526031494,
|
| 122 |
"learning_rate": 0.0001,
|
| 123 |
-
"loss": 1.
|
| 124 |
"step": 1000
|
| 125 |
},
|
| 126 |
{
|
| 127 |
"epoch": 4.0,
|
| 128 |
-
"eval_accuracy": 0.
|
| 129 |
-
"eval_loss":
|
| 130 |
-
"eval_runtime":
|
| 131 |
-
"eval_samples_per_second":
|
| 132 |
-
"eval_steps_per_second":
|
| 133 |
"step": 1000
|
| 134 |
},
|
| 135 |
{
|
| 136 |
"epoch": 4.0,
|
| 137 |
-
"eval_exact_match":
|
| 138 |
-
"eval_f1":
|
| 139 |
"step": 1000
|
| 140 |
},
|
| 141 |
{
|
| 142 |
"epoch": 4.4,
|
| 143 |
-
"grad_norm": 1.7909170389175415,
|
| 144 |
"learning_rate": 0.0001,
|
| 145 |
-
"loss": 1.
|
| 146 |
"step": 1100
|
| 147 |
},
|
| 148 |
{
|
| 149 |
"epoch": 4.8,
|
| 150 |
-
"grad_norm": 1.9236161708831787,
|
| 151 |
"learning_rate": 0.0001,
|
| 152 |
-
"loss": 1.
|
| 153 |
"step": 1200
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 5.0,
|
| 157 |
-
"eval_accuracy": 0.
|
| 158 |
-
"eval_loss": 2.
|
| 159 |
-
"eval_runtime": 5.
|
| 160 |
-
"eval_samples_per_second":
|
| 161 |
-
"eval_steps_per_second":
|
| 162 |
"step": 1250
|
| 163 |
},
|
| 164 |
{
|
| 165 |
"epoch": 5.0,
|
| 166 |
-
"eval_exact_match":
|
| 167 |
-
"eval_f1":
|
| 168 |
"step": 1250
|
| 169 |
},
|
| 170 |
{
|
| 171 |
"epoch": 5.2,
|
| 172 |
-
"grad_norm": 1.8524874448776245,
|
| 173 |
"learning_rate": 0.0001,
|
| 174 |
-
"loss":
|
| 175 |
"step": 1300
|
| 176 |
},
|
| 177 |
{
|
| 178 |
"epoch": 5.6,
|
| 179 |
-
"grad_norm": 2.1092071533203125,
|
| 180 |
"learning_rate": 0.0001,
|
| 181 |
-
"loss":
|
| 182 |
"step": 1400
|
| 183 |
},
|
| 184 |
{
|
| 185 |
"epoch": 6.0,
|
| 186 |
-
"grad_norm": 2.065767288208008,
|
| 187 |
"learning_rate": 0.0001,
|
| 188 |
-
"loss":
|
| 189 |
"step": 1500
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 6.0,
|
| 193 |
-
"eval_accuracy": 0.
|
| 194 |
-
"eval_loss": 2.
|
| 195 |
-
"eval_runtime":
|
| 196 |
-
"eval_samples_per_second":
|
| 197 |
-
"eval_steps_per_second": 12.
|
| 198 |
"step": 1500
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 6.0,
|
| 202 |
-
"eval_exact_match":
|
| 203 |
-
"eval_f1":
|
| 204 |
"step": 1500
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 6.4,
|
| 208 |
-
"grad_norm": 2.329406261444092,
|
| 209 |
"learning_rate": 0.0001,
|
| 210 |
-
"loss": 0.
|
| 211 |
"step": 1600
|
| 212 |
},
|
| 213 |
{
|
| 214 |
"epoch": 6.8,
|
| 215 |
-
"grad_norm": 2.489598274230957,
|
| 216 |
"learning_rate": 0.0001,
|
| 217 |
-
"loss": 0.
|
| 218 |
"step": 1700
|
| 219 |
},
|
| 220 |
{
|
| 221 |
"epoch": 7.0,
|
| 222 |
-
"eval_accuracy": 0.
|
| 223 |
-
"eval_loss":
|
| 224 |
-
"eval_runtime":
|
| 225 |
-
"eval_samples_per_second":
|
| 226 |
-
"eval_steps_per_second":
|
| 227 |
"step": 1750
|
| 228 |
},
|
| 229 |
{
|
| 230 |
"epoch": 7.0,
|
| 231 |
-
"eval_exact_match":
|
| 232 |
-
"eval_f1":
|
| 233 |
"step": 1750
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 7.2,
|
| 237 |
-
"grad_norm": 2.764033794403076,
|
| 238 |
"learning_rate": 0.0001,
|
| 239 |
-
"loss": 0.
|
| 240 |
"step": 1800
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 7.6,
|
| 244 |
-
"grad_norm": 2.5643441677093506,
|
| 245 |
"learning_rate": 0.0001,
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 1900
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 8.0,
|
| 251 |
-
"grad_norm": 2.074833631515503,
|
| 252 |
"learning_rate": 0.0001,
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 2000
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 8.0,
|
| 258 |
-
"eval_accuracy": 0.
|
| 259 |
-
"eval_loss":
|
| 260 |
-
"eval_runtime":
|
| 261 |
-
"eval_samples_per_second":
|
| 262 |
-
"eval_steps_per_second":
|
| 263 |
"step": 2000
|
| 264 |
},
|
| 265 |
{
|
| 266 |
"epoch": 8.0,
|
| 267 |
-
"eval_exact_match":
|
| 268 |
-
"eval_f1":
|
| 269 |
"step": 2000
|
| 270 |
},
|
| 271 |
{
|
| 272 |
"epoch": 8.4,
|
| 273 |
-
"grad_norm": 2.649679660797119,
|
| 274 |
"learning_rate": 0.0001,
|
| 275 |
-
"loss": 0.
|
| 276 |
"step": 2100
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 8.8,
|
| 280 |
-
"grad_norm": 2.1969234943389893,
|
| 281 |
"learning_rate": 0.0001,
|
| 282 |
-
"loss": 0.
|
| 283 |
"step": 2200
|
| 284 |
},
|
| 285 |
{
|
| 286 |
"epoch": 9.0,
|
| 287 |
-
"eval_accuracy": 0.
|
| 288 |
-
"eval_loss":
|
| 289 |
-
"eval_runtime":
|
| 290 |
-
"eval_samples_per_second":
|
| 291 |
-
"eval_steps_per_second":
|
| 292 |
"step": 2250
|
| 293 |
},
|
| 294 |
{
|
| 295 |
"epoch": 9.0,
|
| 296 |
-
"eval_exact_match":
|
| 297 |
-
"eval_f1":
|
| 298 |
"step": 2250
|
| 299 |
},
|
| 300 |
{
|
| 301 |
"epoch": 9.2,
|
| 302 |
-
"grad_norm": 1.8318747282028198,
|
| 303 |
"learning_rate": 0.0001,
|
| 304 |
-
"loss": 0.
|
| 305 |
"step": 2300
|
| 306 |
},
|
| 307 |
{
|
| 308 |
"epoch": 9.6,
|
| 309 |
-
"grad_norm": 1.9915804862976074,
|
| 310 |
"learning_rate": 0.0001,
|
| 311 |
-
"loss": 0.
|
| 312 |
"step": 2400
|
| 313 |
},
|
| 314 |
{
|
| 315 |
"epoch": 10.0,
|
| 316 |
-
"grad_norm": 2.1287789344787598,
|
| 317 |
"learning_rate": 0.0001,
|
| 318 |
-
"loss": 0.
|
| 319 |
"step": 2500
|
| 320 |
},
|
| 321 |
{
|
| 322 |
"epoch": 10.0,
|
| 323 |
-
"eval_accuracy": 0.
|
| 324 |
-
"eval_loss":
|
| 325 |
-
"eval_runtime":
|
| 326 |
-
"eval_samples_per_second":
|
| 327 |
-
"eval_steps_per_second":
|
| 328 |
"step": 2500
|
| 329 |
},
|
| 330 |
{
|
| 331 |
"epoch": 10.0,
|
| 332 |
-
"eval_exact_match":
|
| 333 |
-
"eval_f1":
|
| 334 |
"step": 2500
|
| 335 |
},
|
| 336 |
{
|
| 337 |
"epoch": 10.4,
|
| 338 |
-
"grad_norm": 1.6748021841049194,
|
| 339 |
"learning_rate": 0.0001,
|
| 340 |
-
"loss": 0.
|
| 341 |
"step": 2600
|
| 342 |
},
|
| 343 |
{
|
| 344 |
"epoch": 10.8,
|
| 345 |
-
"grad_norm": 1.8744910955429077,
|
| 346 |
"learning_rate": 0.0001,
|
| 347 |
-
"loss": 0.
|
| 348 |
"step": 2700
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 11.0,
|
| 352 |
-
"eval_accuracy": 0.
|
| 353 |
-
"eval_loss":
|
| 354 |
-
"eval_runtime": 5.
|
| 355 |
-
"eval_samples_per_second":
|
| 356 |
-
"eval_steps_per_second":
|
| 357 |
"step": 2750
|
| 358 |
},
|
| 359 |
{
|
| 360 |
"epoch": 11.0,
|
| 361 |
-
"eval_exact_match":
|
| 362 |
-
"eval_f1":
|
| 363 |
"step": 2750
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 11.2,
|
| 367 |
-
"grad_norm": 2.1398115158081055,
|
| 368 |
"learning_rate": 0.0001,
|
| 369 |
-
"loss": 0.
|
| 370 |
"step": 2800
|
| 371 |
},
|
| 372 |
{
|
| 373 |
"epoch": 11.6,
|
| 374 |
-
"grad_norm": 1.8851490020751953,
|
| 375 |
"learning_rate": 0.0001,
|
| 376 |
-
"loss": 0.
|
| 377 |
"step": 2900
|
| 378 |
},
|
| 379 |
{
|
| 380 |
"epoch": 12.0,
|
| 381 |
-
"grad_norm": 1.6958885192871094,
|
| 382 |
"learning_rate": 0.0001,
|
| 383 |
-
"loss": 0.
|
| 384 |
"step": 3000
|
| 385 |
},
|
| 386 |
{
|
| 387 |
"epoch": 12.0,
|
| 388 |
-
"eval_accuracy": 0.
|
| 389 |
-
"eval_loss":
|
| 390 |
-
"eval_runtime":
|
| 391 |
-
"eval_samples_per_second":
|
| 392 |
-
"eval_steps_per_second":
|
| 393 |
"step": 3000
|
| 394 |
},
|
| 395 |
{
|
| 396 |
"epoch": 12.0,
|
| 397 |
-
"eval_exact_match": 15.
|
| 398 |
-
"eval_f1":
|
| 399 |
"step": 3000
|
| 400 |
},
|
| 401 |
{
|
| 402 |
"epoch": 12.4,
|
| 403 |
-
"grad_norm": 1.8530863523483276,
|
| 404 |
"learning_rate": 0.0001,
|
| 405 |
-
"loss": 0.
|
| 406 |
"step": 3100
|
| 407 |
},
|
| 408 |
{
|
| 409 |
"epoch": 12.8,
|
| 410 |
-
"grad_norm": 1.9440696239471436,
|
| 411 |
"learning_rate": 0.0001,
|
| 412 |
-
"loss": 0.
|
| 413 |
"step": 3200
|
| 414 |
},
|
| 415 |
{
|
| 416 |
"epoch": 13.0,
|
| 417 |
-
"eval_accuracy": 0.
|
| 418 |
-
"eval_loss": 3.
|
| 419 |
-
"eval_runtime":
|
| 420 |
-
"eval_samples_per_second":
|
| 421 |
-
"eval_steps_per_second":
|
| 422 |
"step": 3250
|
| 423 |
},
|
| 424 |
{
|
| 425 |
"epoch": 13.0,
|
| 426 |
-
"eval_exact_match":
|
| 427 |
-
"eval_f1":
|
| 428 |
"step": 3250
|
| 429 |
},
|
| 430 |
{
|
| 431 |
"epoch": 13.2,
|
| 432 |
-
"grad_norm": 1.7972825765609741,
|
| 433 |
"learning_rate": 0.0001,
|
| 434 |
-
"loss": 0.
|
| 435 |
"step": 3300
|
| 436 |
},
|
| 437 |
{
|
| 438 |
"epoch": 13.6,
|
| 439 |
-
"grad_norm": 1.6307235956192017,
|
| 440 |
"learning_rate": 0.0001,
|
| 441 |
-
"loss": 0.
|
| 442 |
"step": 3400
|
| 443 |
},
|
| 444 |
{
|
| 445 |
"epoch": 14.0,
|
| 446 |
-
"grad_norm": 2.7257182598114014,
|
| 447 |
"learning_rate": 0.0001,
|
| 448 |
-
"loss": 0.
|
| 449 |
"step": 3500
|
| 450 |
},
|
| 451 |
{
|
| 452 |
"epoch": 14.0,
|
| 453 |
-
"eval_accuracy": 0.
|
| 454 |
-
"eval_loss": 3.
|
| 455 |
-
"eval_runtime":
|
| 456 |
-
"eval_samples_per_second":
|
| 457 |
-
"eval_steps_per_second":
|
| 458 |
"step": 3500
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 14.0,
|
| 462 |
-
"eval_exact_match":
|
| 463 |
-
"eval_f1":
|
| 464 |
"step": 3500
|
| 465 |
},
|
| 466 |
{
|
| 467 |
"epoch": 14.4,
|
| 468 |
-
"grad_norm": 1.1628468036651611,
|
| 469 |
"learning_rate": 0.0001,
|
| 470 |
-
"loss": 0.
|
| 471 |
"step": 3600
|
| 472 |
},
|
| 473 |
{
|
| 474 |
"epoch": 14.8,
|
| 475 |
-
"grad_norm": 2.109792470932007,
|
| 476 |
"learning_rate": 0.0001,
|
| 477 |
-
"loss": 0.
|
| 478 |
"step": 3700
|
| 479 |
},
|
| 480 |
{
|
| 481 |
"epoch": 15.0,
|
| 482 |
-
"eval_accuracy": 0.
|
| 483 |
-
"eval_loss": 3.
|
| 484 |
-
"eval_runtime":
|
| 485 |
-
"eval_samples_per_second":
|
| 486 |
-
"eval_steps_per_second":
|
| 487 |
"step": 3750
|
| 488 |
},
|
| 489 |
{
|
| 490 |
"epoch": 15.0,
|
| 491 |
-
"eval_exact_match":
|
| 492 |
-
"eval_f1":
|
| 493 |
"step": 3750
|
| 494 |
},
|
| 495 |
{
|
| 496 |
"epoch": 15.2,
|
| 497 |
-
"grad_norm": 1.2581037282943726,
|
| 498 |
"learning_rate": 0.0001,
|
| 499 |
-
"loss": 0.
|
| 500 |
"step": 3800
|
| 501 |
},
|
| 502 |
{
|
| 503 |
"epoch": 15.6,
|
| 504 |
-
"grad_norm": 1.0244629383087158,
|
| 505 |
"learning_rate": 0.0001,
|
| 506 |
-
"loss": 0.
|
| 507 |
"step": 3900
|
| 508 |
},
|
| 509 |
{
|
| 510 |
"epoch": 16.0,
|
| 511 |
-
"grad_norm": 1.3548619747161865,
|
| 512 |
"learning_rate": 0.0001,
|
| 513 |
-
"loss": 0.
|
| 514 |
"step": 4000
|
| 515 |
},
|
| 516 |
{
|
| 517 |
"epoch": 16.0,
|
| 518 |
-
"eval_accuracy": 0.
|
| 519 |
-
"eval_loss": 3.
|
| 520 |
-
"eval_runtime":
|
| 521 |
-
"eval_samples_per_second":
|
| 522 |
-
"eval_steps_per_second":
|
| 523 |
"step": 4000
|
| 524 |
},
|
| 525 |
{
|
| 526 |
"epoch": 16.0,
|
| 527 |
-
"eval_exact_match":
|
| 528 |
-
"eval_f1":
|
| 529 |
"step": 4000
|
| 530 |
},
|
| 531 |
{
|
| 532 |
"epoch": 16.4,
|
| 533 |
-
"grad_norm": 1.5730881690979004,
|
| 534 |
"learning_rate": 0.0001,
|
| 535 |
-
"loss": 0.
|
| 536 |
"step": 4100
|
| 537 |
},
|
| 538 |
{
|
| 539 |
"epoch": 16.8,
|
| 540 |
-
"grad_norm": 1.619290828704834,
|
| 541 |
"learning_rate": 0.0001,
|
| 542 |
-
"loss": 0.
|
| 543 |
"step": 4200
|
| 544 |
},
|
| 545 |
{
|
| 546 |
"epoch": 17.0,
|
| 547 |
-
"eval_accuracy": 0.
|
| 548 |
-
"eval_loss": 3.
|
| 549 |
-
"eval_runtime":
|
| 550 |
-
"eval_samples_per_second":
|
| 551 |
-
"eval_steps_per_second":
|
| 552 |
"step": 4250
|
| 553 |
},
|
| 554 |
{
|
| 555 |
"epoch": 17.0,
|
| 556 |
-
"eval_exact_match":
|
| 557 |
-
"eval_f1":
|
| 558 |
"step": 4250
|
| 559 |
},
|
| 560 |
{
|
| 561 |
"epoch": 17.2,
|
| 562 |
-
"grad_norm": 2.23779559135437,
|
| 563 |
"learning_rate": 0.0001,
|
| 564 |
-
"loss": 0.
|
| 565 |
"step": 4300
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 17.6,
|
| 569 |
-
"grad_norm": 1.2932429313659668,
|
| 570 |
"learning_rate": 0.0001,
|
| 571 |
-
"loss": 0.
|
| 572 |
"step": 4400
|
| 573 |
},
|
| 574 |
{
|
| 575 |
"epoch": 18.0,
|
| 576 |
-
"grad_norm": 1.6087582111358643,
|
| 577 |
"learning_rate": 0.0001,
|
| 578 |
-
"loss": 0.
|
| 579 |
"step": 4500
|
| 580 |
},
|
| 581 |
{
|
| 582 |
"epoch": 18.0,
|
| 583 |
-
"eval_accuracy": 0.
|
| 584 |
-
"eval_loss": 3.
|
| 585 |
-
"eval_runtime":
|
| 586 |
-
"eval_samples_per_second":
|
| 587 |
-
"eval_steps_per_second":
|
| 588 |
"step": 4500
|
| 589 |
},
|
| 590 |
{
|
| 591 |
"epoch": 18.0,
|
| 592 |
-
"eval_exact_match":
|
| 593 |
-
"eval_f1":
|
| 594 |
"step": 4500
|
| 595 |
},
|
| 596 |
{
|
| 597 |
"epoch": 18.4,
|
| 598 |
-
"grad_norm": 1.20901620388031,
|
| 599 |
"learning_rate": 0.0001,
|
| 600 |
-
"loss": 0.
|
| 601 |
"step": 4600
|
| 602 |
},
|
| 603 |
{
|
| 604 |
"epoch": 18.8,
|
| 605 |
-
"grad_norm": 1.3064277172088623,
|
| 606 |
"learning_rate": 0.0001,
|
| 607 |
-
"loss": 0.
|
| 608 |
"step": 4700
|
| 609 |
},
|
| 610 |
{
|
| 611 |
"epoch": 19.0,
|
| 612 |
-
"eval_accuracy": 0.
|
| 613 |
-
"eval_loss": 3.
|
| 614 |
-
"eval_runtime":
|
| 615 |
-
"eval_samples_per_second":
|
| 616 |
-
"eval_steps_per_second":
|
| 617 |
"step": 4750
|
| 618 |
},
|
| 619 |
{
|
| 620 |
"epoch": 19.0,
|
| 621 |
-
"eval_exact_match":
|
| 622 |
-
"eval_f1":
|
| 623 |
"step": 4750
|
| 624 |
},
|
| 625 |
{
|
| 626 |
"epoch": 19.2,
|
| 627 |
-
"grad_norm": 1.4567475318908691,
|
| 628 |
"learning_rate": 0.0001,
|
| 629 |
-
"loss": 0.
|
| 630 |
"step": 4800
|
| 631 |
},
|
| 632 |
{
|
| 633 |
"epoch": 19.6,
|
| 634 |
-
"grad_norm": 1.274679183959961,
|
| 635 |
"learning_rate": 0.0001,
|
| 636 |
-
"loss": 0.
|
| 637 |
"step": 4900
|
| 638 |
},
|
| 639 |
{
|
| 640 |
"epoch": 20.0,
|
| 641 |
-
"grad_norm": 1.5081045627593994,
|
| 642 |
"learning_rate": 0.0001,
|
| 643 |
-
"loss": 0.
|
| 644 |
"step": 5000
|
| 645 |
},
|
| 646 |
{
|
| 647 |
"epoch": 20.0,
|
| 648 |
-
"eval_accuracy": 0.
|
| 649 |
-
"eval_loss": 3.
|
| 650 |
-
"eval_runtime":
|
| 651 |
-
"eval_samples_per_second":
|
| 652 |
-
"eval_steps_per_second":
|
| 653 |
"step": 5000
|
| 654 |
},
|
| 655 |
{
|
| 656 |
"epoch": 20.0,
|
| 657 |
-
"eval_exact_match":
|
| 658 |
-
"eval_f1":
|
| 659 |
"step": 5000
|
| 660 |
},
|
| 661 |
{
|
| 662 |
"epoch": 20.4,
|
| 663 |
-
"grad_norm": 1.343906044960022,
|
| 664 |
"learning_rate": 0.0001,
|
| 665 |
-
"loss": 0.
|
| 666 |
"step": 5100
|
| 667 |
},
|
| 668 |
{
|
| 669 |
"epoch": 20.8,
|
| 670 |
-
"grad_norm": 1.7303237915039062,
|
| 671 |
"learning_rate": 0.0001,
|
| 672 |
-
"loss": 0.
|
| 673 |
"step": 5200
|
| 674 |
},
|
| 675 |
{
|
| 676 |
"epoch": 21.0,
|
| 677 |
-
"eval_accuracy": 0.
|
| 678 |
-
"eval_loss": 3.
|
| 679 |
-
"eval_runtime": 5.
|
| 680 |
-
"eval_samples_per_second":
|
| 681 |
-
"eval_steps_per_second": 12.
|
| 682 |
"step": 5250
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 21.0,
|
| 686 |
-
"eval_exact_match":
|
| 687 |
-
"eval_f1":
|
| 688 |
"step": 5250
|
| 689 |
},
|
| 690 |
{
|
| 691 |
"epoch": 21.2,
|
| 692 |
-
"grad_norm": 1.4770017862319946,
|
| 693 |
"learning_rate": 0.0001,
|
| 694 |
-
"loss": 0.
|
| 695 |
"step": 5300
|
| 696 |
},
|
| 697 |
{
|
| 698 |
"epoch": 21.6,
|
| 699 |
-
"grad_norm": 0.7377692461013794,
|
| 700 |
"learning_rate": 0.0001,
|
| 701 |
-
"loss": 0.
|
| 702 |
"step": 5400
|
| 703 |
},
|
| 704 |
{
|
| 705 |
"epoch": 22.0,
|
| 706 |
-
"grad_norm": 0.7583816051483154,
|
| 707 |
"learning_rate": 0.0001,
|
| 708 |
-
"loss": 0.
|
| 709 |
"step": 5500
|
| 710 |
},
|
| 711 |
{
|
| 712 |
"epoch": 22.0,
|
| 713 |
-
"eval_accuracy": 0.
|
| 714 |
-
"eval_loss": 3.
|
| 715 |
-
"eval_runtime":
|
| 716 |
-
"eval_samples_per_second":
|
| 717 |
-
"eval_steps_per_second":
|
| 718 |
"step": 5500
|
| 719 |
},
|
| 720 |
{
|
| 721 |
"epoch": 22.0,
|
| 722 |
-
"eval_exact_match":
|
| 723 |
-
"eval_f1":
|
| 724 |
"step": 5500
|
| 725 |
},
|
| 726 |
{
|
| 727 |
"epoch": 22.4,
|
| 728 |
-
"grad_norm": 2.125830888748169,
|
| 729 |
"learning_rate": 0.0001,
|
| 730 |
-
"loss": 0.
|
| 731 |
"step": 5600
|
| 732 |
},
|
| 733 |
{
|
| 734 |
"epoch": 22.8,
|
| 735 |
-
"grad_norm": 0.958363950252533,
|
| 736 |
"learning_rate": 0.0001,
|
| 737 |
-
"loss": 0.
|
| 738 |
"step": 5700
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 23.0,
|
| 742 |
-
"eval_accuracy": 0.
|
| 743 |
-
"eval_loss":
|
| 744 |
-
"eval_runtime":
|
| 745 |
-
"eval_samples_per_second":
|
| 746 |
-
"eval_steps_per_second":
|
| 747 |
"step": 5750
|
| 748 |
},
|
| 749 |
{
|
| 750 |
"epoch": 23.0,
|
| 751 |
-
"eval_exact_match":
|
| 752 |
-
"eval_f1":
|
| 753 |
"step": 5750
|
| 754 |
},
|
| 755 |
{
|
| 756 |
"epoch": 23.2,
|
| 757 |
-
"grad_norm": 1.526780605316162,
|
| 758 |
"learning_rate": 0.0001,
|
| 759 |
-
"loss": 0.
|
| 760 |
"step": 5800
|
| 761 |
},
|
| 762 |
{
|
| 763 |
"epoch": 23.6,
|
| 764 |
-
"grad_norm": 1.0150421857833862,
|
| 765 |
"learning_rate": 0.0001,
|
| 766 |
-
"loss": 0.
|
| 767 |
"step": 5900
|
| 768 |
},
|
| 769 |
{
|
| 770 |
"epoch": 24.0,
|
| 771 |
-
"grad_norm": 0.9590368866920471,
|
| 772 |
"learning_rate": 0.0001,
|
| 773 |
-
"loss": 0.
|
| 774 |
"step": 6000
|
| 775 |
},
|
| 776 |
{
|
| 777 |
"epoch": 24.0,
|
| 778 |
-
"eval_accuracy": 0.
|
| 779 |
-
"eval_loss": 3.
|
| 780 |
-
"eval_runtime":
|
| 781 |
-
"eval_samples_per_second":
|
| 782 |
-
"eval_steps_per_second":
|
| 783 |
"step": 6000
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"epoch": 24.0,
|
| 787 |
-
"eval_exact_match":
|
| 788 |
-
"eval_f1":
|
| 789 |
"step": 6000
|
| 790 |
},
|
| 791 |
{
|
| 792 |
"epoch": 24.4,
|
| 793 |
-
"grad_norm": 0.7218676209449768,
|
| 794 |
"learning_rate": 0.0001,
|
| 795 |
-
"loss": 0.
|
| 796 |
"step": 6100
|
| 797 |
},
|
| 798 |
{
|
| 799 |
"epoch": 24.8,
|
| 800 |
-
"grad_norm": 1.0547350645065308,
|
| 801 |
"learning_rate": 0.0001,
|
| 802 |
-
"loss":
|
| 803 |
"step": 6200
|
| 804 |
},
|
| 805 |
{
|
| 806 |
"epoch": 25.0,
|
| 807 |
-
"eval_accuracy": 0.
|
| 808 |
-
"eval_loss":
|
| 809 |
-
"eval_runtime":
|
| 810 |
-
"eval_samples_per_second":
|
| 811 |
-
"eval_steps_per_second":
|
| 812 |
"step": 6250
|
| 813 |
},
|
| 814 |
{
|
| 815 |
"epoch": 25.0,
|
| 816 |
-
"eval_exact_match":
|
| 817 |
-
"eval_f1":
|
| 818 |
"step": 6250
|
| 819 |
},
|
| 820 |
{
|
| 821 |
"epoch": 25.2,
|
| 822 |
-
"grad_norm": 0.8290365934371948,
|
| 823 |
"learning_rate": 0.0001,
|
| 824 |
-
"loss":
|
| 825 |
"step": 6300
|
| 826 |
},
|
| 827 |
{
|
| 828 |
"epoch": 25.6,
|
| 829 |
-
"grad_norm": 1.2108442783355713,
|
| 830 |
"learning_rate": 0.0001,
|
| 831 |
-
"loss":
|
| 832 |
"step": 6400
|
| 833 |
},
|
| 834 |
{
|
| 835 |
"epoch": 26.0,
|
| 836 |
-
"grad_norm": 1.596282720565796,
|
| 837 |
"learning_rate": 0.0001,
|
| 838 |
-
"loss":
|
| 839 |
"step": 6500
|
| 840 |
},
|
| 841 |
{
|
| 842 |
"epoch": 26.0,
|
| 843 |
-
"eval_accuracy": 0.
|
| 844 |
-
"eval_loss":
|
| 845 |
-
"eval_runtime": 5.
|
| 846 |
-
"eval_samples_per_second": 97.
|
| 847 |
-
"eval_steps_per_second": 12.
|
| 848 |
"step": 6500
|
| 849 |
},
|
| 850 |
{
|
| 851 |
"epoch": 26.0,
|
| 852 |
-
"eval_exact_match":
|
| 853 |
-
"eval_f1":
|
| 854 |
"step": 6500
|
| 855 |
},
|
| 856 |
{
|
| 857 |
"epoch": 26.4,
|
| 858 |
-
"grad_norm": 0.607507050037384,
|
| 859 |
"learning_rate": 0.0001,
|
| 860 |
-
"loss":
|
| 861 |
"step": 6600
|
| 862 |
},
|
| 863 |
{
|
| 864 |
"epoch": 26.8,
|
| 865 |
-
"grad_norm": 0.8661500215530396,
|
| 866 |
"learning_rate": 0.0001,
|
| 867 |
-
"loss":
|
| 868 |
"step": 6700
|
| 869 |
},
|
| 870 |
{
|
| 871 |
"epoch": 27.0,
|
| 872 |
-
"eval_accuracy": 0.
|
| 873 |
-
"eval_loss":
|
| 874 |
-
"eval_runtime":
|
| 875 |
-
"eval_samples_per_second":
|
| 876 |
-
"eval_steps_per_second":
|
| 877 |
"step": 6750
|
| 878 |
},
|
| 879 |
{
|
| 880 |
"epoch": 27.0,
|
| 881 |
-
"eval_exact_match":
|
| 882 |
-
"eval_f1":
|
| 883 |
"step": 6750
|
| 884 |
},
|
| 885 |
{
|
| 886 |
"epoch": 27.2,
|
| 887 |
-
"grad_norm": 0.6577064394950867,
|
| 888 |
"learning_rate": 0.0001,
|
| 889 |
-
"loss":
|
| 890 |
"step": 6800
|
| 891 |
},
|
| 892 |
{
|
| 893 |
"epoch": 27.6,
|
| 894 |
-
"grad_norm": 0.7707544565200806,
|
| 895 |
"learning_rate": 0.0001,
|
| 896 |
-
"loss":
|
| 897 |
"step": 6900
|
| 898 |
},
|
| 899 |
{
|
| 900 |
"epoch": 28.0,
|
| 901 |
-
"grad_norm": 0.9173874258995056,
|
| 902 |
"learning_rate": 0.0001,
|
| 903 |
-
"loss":
|
| 904 |
"step": 7000
|
| 905 |
},
|
| 906 |
{
|
| 907 |
"epoch": 28.0,
|
| 908 |
-
"eval_accuracy": 0.
|
| 909 |
-
"eval_loss":
|
| 910 |
-
"eval_runtime":
|
| 911 |
-
"eval_samples_per_second":
|
| 912 |
-
"eval_steps_per_second":
|
| 913 |
"step": 7000
|
| 914 |
},
|
| 915 |
{
|
| 916 |
"epoch": 28.0,
|
| 917 |
-
"eval_exact_match":
|
| 918 |
-
"eval_f1":
|
| 919 |
"step": 7000
|
| 920 |
},
|
| 921 |
{
|
| 922 |
"epoch": 28.4,
|
| 923 |
-
"grad_norm": 0.8520764112472534,
|
| 924 |
"learning_rate": 0.0001,
|
| 925 |
-
"loss":
|
| 926 |
"step": 7100
|
| 927 |
},
|
| 928 |
{
|
| 929 |
"epoch": 28.8,
|
| 930 |
-
"grad_norm": 0.6646843552589417,
|
| 931 |
"learning_rate": 0.0001,
|
| 932 |
-
"loss":
|
| 933 |
"step": 7200
|
| 934 |
},
|
| 935 |
{
|
| 936 |
"epoch": 29.0,
|
| 937 |
-
"eval_accuracy": 0.
|
| 938 |
-
"eval_loss":
|
| 939 |
-
"eval_runtime": 5.
|
| 940 |
-
"eval_samples_per_second":
|
| 941 |
-
"eval_steps_per_second":
|
| 942 |
"step": 7250
|
| 943 |
},
|
| 944 |
{
|
| 945 |
"epoch": 29.0,
|
| 946 |
-
"eval_exact_match":
|
| 947 |
-
"eval_f1":
|
| 948 |
"step": 7250
|
| 949 |
},
|
| 950 |
{
|
| 951 |
"epoch": 29.2,
|
| 952 |
-
"grad_norm": 0.5370341539382935,
|
| 953 |
"learning_rate": 0.0001,
|
| 954 |
-
"loss":
|
| 955 |
"step": 7300
|
| 956 |
},
|
| 957 |
{
|
| 958 |
"epoch": 29.6,
|
| 959 |
-
"grad_norm": 0.9284526705741882,
|
| 960 |
"learning_rate": 0.0001,
|
| 961 |
-
"loss":
|
| 962 |
"step": 7400
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 30.0,
|
| 966 |
-
"grad_norm": 1.1908068656921387,
|
| 967 |
"learning_rate": 0.0001,
|
| 968 |
-
"loss":
|
| 969 |
"step": 7500
|
| 970 |
},
|
| 971 |
{
|
| 972 |
"epoch": 30.0,
|
| 973 |
-
"eval_accuracy": 0.
|
| 974 |
-
"eval_loss": 4.
|
| 975 |
-
"eval_runtime":
|
| 976 |
-
"eval_samples_per_second":
|
| 977 |
-
"eval_steps_per_second":
|
| 978 |
"step": 7500
|
| 979 |
},
|
| 980 |
{
|
| 981 |
"epoch": 30.0,
|
| 982 |
-
"eval_exact_match":
|
| 983 |
-
"eval_f1":
|
| 984 |
"step": 7500
|
| 985 |
},
|
| 986 |
{
|
| 987 |
"epoch": 30.4,
|
| 988 |
-
"grad_norm": 0.8314960598945618,
|
| 989 |
"learning_rate": 0.0001,
|
| 990 |
-
"loss":
|
| 991 |
"step": 7600
|
| 992 |
},
|
| 993 |
{
|
| 994 |
"epoch": 30.8,
|
| 995 |
-
"grad_norm": 0.8316343426704407,
|
| 996 |
"learning_rate": 0.0001,
|
| 997 |
-
"loss":
|
| 998 |
"step": 7700
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
"epoch": 31.0,
|
| 1002 |
-
"eval_accuracy": 0.
|
| 1003 |
-
"eval_loss":
|
| 1004 |
-
"eval_runtime":
|
| 1005 |
-
"eval_samples_per_second":
|
| 1006 |
-
"eval_steps_per_second":
|
| 1007 |
"step": 7750
|
| 1008 |
},
|
| 1009 |
{
|
| 1010 |
"epoch": 31.0,
|
| 1011 |
-
"eval_exact_match":
|
| 1012 |
-
"eval_f1":
|
| 1013 |
"step": 7750
|
| 1014 |
}
|
| 1015 |
],
|
| 1016 |
"logging_steps": 100,
|
| 1017 |
"max_steps": 12500,
|
| 1018 |
-
"num_input_tokens_seen": 0,
|
| 1019 |
"num_train_epochs": 50,
|
| 1020 |
"save_steps": 500,
|
| 1021 |
-
"
|
| 1022 |
-
"TrainerControl": {
|
| 1023 |
-
"args": {
|
| 1024 |
-
"should_epoch_stop": false,
|
| 1025 |
-
"should_evaluate": false,
|
| 1026 |
-
"should_log": false,
|
| 1027 |
-
"should_save": true,
|
| 1028 |
-
"should_training_stop": false
|
| 1029 |
-
},
|
| 1030 |
-
"attributes": {}
|
| 1031 |
-
}
|
| 1032 |
-
},
|
| 1033 |
-
"total_flos": 2.371129052317614e+17,
|
| 1034 |
-
"train_batch_size": 2,
|
| 1035 |
"trial_name": null,
|
| 1036 |
"trial_params": null
|
| 1037 |
}
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.4,
|
|
|
|
| 13 |
"learning_rate": 0.0001,
|
| 14 |
+
"loss": 2.0446,
|
| 15 |
"step": 100
|
| 16 |
},
|
| 17 |
{
|
| 18 |
"epoch": 0.8,
|
|
|
|
| 19 |
"learning_rate": 0.0001,
|
| 20 |
+
"loss": 1.7752,
|
| 21 |
"step": 200
|
| 22 |
},
|
| 23 |
{
|
| 24 |
"epoch": 1.0,
|
| 25 |
+
"eval_accuracy": 0.6076455696202532,
|
| 26 |
+
"eval_loss": 1.8067126274108887,
|
| 27 |
+
"eval_runtime": 5.0018,
|
| 28 |
+
"eval_samples_per_second": 99.965,
|
| 29 |
+
"eval_steps_per_second": 12.596,
|
| 30 |
"step": 250
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 1.0,
|
| 34 |
+
"eval_exact_match": 24.4,
|
| 35 |
+
"eval_f1": 35.27913510466144,
|
| 36 |
"step": 250
|
| 37 |
},
|
| 38 |
{
|
| 39 |
"epoch": 1.2,
|
|
|
|
| 40 |
"learning_rate": 0.0001,
|
| 41 |
+
"loss": 1.7141,
|
| 42 |
"step": 300
|
| 43 |
},
|
| 44 |
{
|
| 45 |
"epoch": 1.6,
|
|
|
|
| 46 |
"learning_rate": 0.0001,
|
| 47 |
+
"loss": 1.6576,
|
| 48 |
"step": 400
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 2.0,
|
|
|
|
| 52 |
"learning_rate": 0.0001,
|
| 53 |
+
"loss": 1.6469,
|
| 54 |
"step": 500
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 2.0,
|
| 58 |
+
"eval_accuracy": 0.607746835443038,
|
| 59 |
+
"eval_loss": 1.810449481010437,
|
| 60 |
+
"eval_runtime": 4.5227,
|
| 61 |
+
"eval_samples_per_second": 110.552,
|
| 62 |
+
"eval_steps_per_second": 13.93,
|
| 63 |
"step": 500
|
| 64 |
},
|
| 65 |
{
|
| 66 |
"epoch": 2.0,
|
| 67 |
+
"eval_exact_match": 24.2,
|
| 68 |
+
"eval_f1": 33.990575470281364,
|
| 69 |
"step": 500
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 2.4,
|
|
|
|
| 73 |
"learning_rate": 0.0001,
|
| 74 |
+
"loss": 1.4453,
|
| 75 |
"step": 600
|
| 76 |
},
|
| 77 |
{
|
| 78 |
"epoch": 2.8,
|
|
|
|
| 79 |
"learning_rate": 0.0001,
|
| 80 |
+
"loss": 1.474,
|
| 81 |
"step": 700
|
| 82 |
},
|
| 83 |
{
|
| 84 |
"epoch": 3.0,
|
| 85 |
+
"eval_accuracy": 0.6055696202531645,
|
| 86 |
+
"eval_loss": 1.8687865734100342,
|
| 87 |
+
"eval_runtime": 4.7138,
|
| 88 |
+
"eval_samples_per_second": 106.072,
|
| 89 |
+
"eval_steps_per_second": 13.365,
|
| 90 |
"step": 750
|
| 91 |
},
|
| 92 |
{
|
| 93 |
"epoch": 3.0,
|
| 94 |
+
"eval_exact_match": 23.0,
|
| 95 |
+
"eval_f1": 33.30356143856145,
|
| 96 |
"step": 750
|
| 97 |
},
|
| 98 |
{
|
| 99 |
"epoch": 3.2,
|
|
|
|
| 100 |
"learning_rate": 0.0001,
|
| 101 |
+
"loss": 1.3572,
|
| 102 |
"step": 800
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 3.6,
|
|
|
|
| 106 |
"learning_rate": 0.0001,
|
| 107 |
+
"loss": 1.2472,
|
| 108 |
"step": 900
|
| 109 |
},
|
| 110 |
{
|
| 111 |
"epoch": 4.0,
|
|
|
|
| 112 |
"learning_rate": 0.0001,
|
| 113 |
+
"loss": 1.2742,
|
| 114 |
"step": 1000
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 4.0,
|
| 118 |
+
"eval_accuracy": 0.6030886075949367,
|
| 119 |
+
"eval_loss": 1.9776239395141602,
|
| 120 |
+
"eval_runtime": 4.5553,
|
| 121 |
+
"eval_samples_per_second": 109.762,
|
| 122 |
+
"eval_steps_per_second": 13.83,
|
| 123 |
"step": 1000
|
| 124 |
},
|
| 125 |
{
|
| 126 |
"epoch": 4.0,
|
| 127 |
+
"eval_exact_match": 22.6,
|
| 128 |
+
"eval_f1": 32.07458596958597,
|
| 129 |
"step": 1000
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 4.4,
|
|
|
|
| 133 |
"learning_rate": 0.0001,
|
| 134 |
+
"loss": 1.0303,
|
| 135 |
"step": 1100
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 4.8,
|
|
|
|
| 139 |
"learning_rate": 0.0001,
|
| 140 |
+
"loss": 1.0851,
|
| 141 |
"step": 1200
|
| 142 |
},
|
| 143 |
{
|
| 144 |
"epoch": 5.0,
|
| 145 |
+
"eval_accuracy": 0.599873417721519,
|
| 146 |
+
"eval_loss": 2.081591844558716,
|
| 147 |
+
"eval_runtime": 5.0717,
|
| 148 |
+
"eval_samples_per_second": 98.586,
|
| 149 |
+
"eval_steps_per_second": 12.422,
|
| 150 |
"step": 1250
|
| 151 |
},
|
| 152 |
{
|
| 153 |
"epoch": 5.0,
|
| 154 |
+
"eval_exact_match": 21.8,
|
| 155 |
+
"eval_f1": 30.650287424993316,
|
| 156 |
"step": 1250
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"epoch": 5.2,
|
|
|
|
| 160 |
"learning_rate": 0.0001,
|
| 161 |
+
"loss": 0.9745,
|
| 162 |
"step": 1300
|
| 163 |
},
|
| 164 |
{
|
| 165 |
"epoch": 5.6,
|
|
|
|
| 166 |
"learning_rate": 0.0001,
|
| 167 |
+
"loss": 0.8784,
|
| 168 |
"step": 1400
|
| 169 |
},
|
| 170 |
{
|
| 171 |
"epoch": 6.0,
|
|
|
|
| 172 |
"learning_rate": 0.0001,
|
| 173 |
+
"loss": 0.9085,
|
| 174 |
"step": 1500
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 6.0,
|
| 178 |
+
"eval_accuracy": 0.5969873417721518,
|
| 179 |
+
"eval_loss": 2.2579739093780518,
|
| 180 |
+
"eval_runtime": 4.9122,
|
| 181 |
+
"eval_samples_per_second": 101.788,
|
| 182 |
+
"eval_steps_per_second": 12.825,
|
| 183 |
"step": 1500
|
| 184 |
},
|
| 185 |
{
|
| 186 |
"epoch": 6.0,
|
| 187 |
+
"eval_exact_match": 21.8,
|
| 188 |
+
"eval_f1": 30.116953765189066,
|
| 189 |
"step": 1500
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 6.4,
|
|
|
|
| 193 |
"learning_rate": 0.0001,
|
| 194 |
+
"loss": 0.6992,
|
| 195 |
"step": 1600
|
| 196 |
},
|
| 197 |
{
|
| 198 |
"epoch": 6.8,
|
|
|
|
| 199 |
"learning_rate": 0.0001,
|
| 200 |
+
"loss": 0.7383,
|
| 201 |
"step": 1700
|
| 202 |
},
|
| 203 |
{
|
| 204 |
"epoch": 7.0,
|
| 205 |
+
"eval_accuracy": 0.5939240506329114,
|
| 206 |
+
"eval_loss": 2.3878135681152344,
|
| 207 |
+
"eval_runtime": 4.4125,
|
| 208 |
+
"eval_samples_per_second": 113.315,
|
| 209 |
+
"eval_steps_per_second": 14.278,
|
| 210 |
"step": 1750
|
| 211 |
},
|
| 212 |
{
|
| 213 |
"epoch": 7.0,
|
| 214 |
+
"eval_exact_match": 22.2,
|
| 215 |
+
"eval_f1": 30.4995441160147,
|
| 216 |
"step": 1750
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 7.2,
|
|
|
|
| 220 |
"learning_rate": 0.0001,
|
| 221 |
+
"loss": 0.6582,
|
| 222 |
"step": 1800
|
| 223 |
},
|
| 224 |
{
|
| 225 |
"epoch": 7.6,
|
|
|
|
| 226 |
"learning_rate": 0.0001,
|
| 227 |
+
"loss": 0.5881,
|
| 228 |
"step": 1900
|
| 229 |
},
|
| 230 |
{
|
| 231 |
"epoch": 8.0,
|
|
|
|
| 232 |
"learning_rate": 0.0001,
|
| 233 |
+
"loss": 0.6143,
|
| 234 |
"step": 2000
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 8.0,
|
| 238 |
+
"eval_accuracy": 0.5923544303797469,
|
| 239 |
+
"eval_loss": 2.5656919479370117,
|
| 240 |
+
"eval_runtime": 4.3988,
|
| 241 |
+
"eval_samples_per_second": 113.667,
|
| 242 |
+
"eval_steps_per_second": 14.322,
|
| 243 |
"step": 2000
|
| 244 |
},
|
| 245 |
{
|
| 246 |
"epoch": 8.0,
|
| 247 |
+
"eval_exact_match": 21.8,
|
| 248 |
+
"eval_f1": 30.237513923984515,
|
| 249 |
"step": 2000
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 8.4,
|
|
|
|
| 253 |
"learning_rate": 0.0001,
|
| 254 |
+
"loss": 0.4727,
|
| 255 |
"step": 2100
|
| 256 |
},
|
| 257 |
{
|
| 258 |
"epoch": 8.8,
|
|
|
|
| 259 |
"learning_rate": 0.0001,
|
| 260 |
+
"loss": 0.5047,
|
| 261 |
"step": 2200
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 9.0,
|
| 265 |
+
"eval_accuracy": 0.5898987341772152,
|
| 266 |
+
"eval_loss": 2.6870768070220947,
|
| 267 |
+
"eval_runtime": 4.5648,
|
| 268 |
+
"eval_samples_per_second": 109.534,
|
| 269 |
+
"eval_steps_per_second": 13.801,
|
| 270 |
"step": 2250
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 9.0,
|
| 274 |
+
"eval_exact_match": 21.0,
|
| 275 |
+
"eval_f1": 29.401002657473246,
|
| 276 |
"step": 2250
|
| 277 |
},
|
| 278 |
{
|
| 279 |
"epoch": 9.2,
|
|
|
|
| 280 |
"learning_rate": 0.0001,
|
| 281 |
+
"loss": 0.4595,
|
| 282 |
"step": 2300
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 9.6,
|
|
|
|
| 286 |
"learning_rate": 0.0001,
|
| 287 |
+
"loss": 0.4269,
|
| 288 |
"step": 2400
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 10.0,
|
|
|
|
| 292 |
"learning_rate": 0.0001,
|
| 293 |
+
"loss": 0.4457,
|
| 294 |
"step": 2500
|
| 295 |
},
|
| 296 |
{
|
| 297 |
"epoch": 10.0,
|
| 298 |
+
"eval_accuracy": 0.5886835443037974,
|
| 299 |
+
"eval_loss": 2.8029491901397705,
|
| 300 |
+
"eval_runtime": 4.7023,
|
| 301 |
+
"eval_samples_per_second": 106.332,
|
| 302 |
+
"eval_steps_per_second": 13.398,
|
| 303 |
"step": 2500
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"epoch": 10.0,
|
| 307 |
+
"eval_exact_match": 20.8,
|
| 308 |
+
"eval_f1": 29.73924219571279,
|
| 309 |
"step": 2500
|
| 310 |
},
|
| 311 |
{
|
| 312 |
"epoch": 10.4,
|
|
|
|
| 313 |
"learning_rate": 0.0001,
|
| 314 |
+
"loss": 0.3725,
|
| 315 |
"step": 2600
|
| 316 |
},
|
| 317 |
{
|
| 318 |
"epoch": 10.8,
|
|
|
|
| 319 |
"learning_rate": 0.0001,
|
| 320 |
+
"loss": 0.3942,
|
| 321 |
"step": 2700
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 11.0,
|
| 325 |
+
"eval_accuracy": 0.5877215189873418,
|
| 326 |
+
"eval_loss": 2.9129838943481445,
|
| 327 |
+
"eval_runtime": 5.1228,
|
| 328 |
+
"eval_samples_per_second": 97.603,
|
| 329 |
+
"eval_steps_per_second": 12.298,
|
| 330 |
"step": 2750
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 11.0,
|
| 334 |
+
"eval_exact_match": 17.8,
|
| 335 |
+
"eval_f1": 27.10153509378855,
|
| 336 |
"step": 2750
|
| 337 |
},
|
| 338 |
{
|
| 339 |
"epoch": 11.2,
|
|
|
|
| 340 |
"learning_rate": 0.0001,
|
| 341 |
+
"loss": 0.3736,
|
| 342 |
"step": 2800
|
| 343 |
},
|
| 344 |
{
|
| 345 |
"epoch": 11.6,
|
|
|
|
| 346 |
"learning_rate": 0.0001,
|
| 347 |
+
"loss": 0.3612,
|
| 348 |
"step": 2900
|
| 349 |
},
|
| 350 |
{
|
| 351 |
"epoch": 12.0,
|
|
|
|
| 352 |
"learning_rate": 0.0001,
|
| 353 |
+
"loss": 0.375,
|
| 354 |
"step": 3000
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 12.0,
|
| 358 |
+
"eval_accuracy": 0.5900759493670886,
|
| 359 |
+
"eval_loss": 2.9960711002349854,
|
| 360 |
+
"eval_runtime": 4.5558,
|
| 361 |
+
"eval_samples_per_second": 109.749,
|
| 362 |
+
"eval_steps_per_second": 13.828,
|
| 363 |
"step": 3000
|
| 364 |
},
|
| 365 |
{
|
| 366 |
"epoch": 12.0,
|
| 367 |
+
"eval_exact_match": 15.8,
|
| 368 |
+
"eval_f1": 23.735175071397414,
|
| 369 |
"step": 3000
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 12.4,
|
|
|
|
| 373 |
"learning_rate": 0.0001,
|
| 374 |
+
"loss": 0.3326,
|
| 375 |
"step": 3100
|
| 376 |
},
|
| 377 |
{
|
| 378 |
"epoch": 12.8,
|
|
|
|
| 379 |
"learning_rate": 0.0001,
|
| 380 |
+
"loss": 0.3503,
|
| 381 |
"step": 3200
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 13.0,
|
| 385 |
+
"eval_accuracy": 0.5899493670886076,
|
| 386 |
+
"eval_loss": 3.0212697982788086,
|
| 387 |
+
"eval_runtime": 4.4053,
|
| 388 |
+
"eval_samples_per_second": 113.5,
|
| 389 |
+
"eval_steps_per_second": 14.301,
|
| 390 |
"step": 3250
|
| 391 |
},
|
| 392 |
{
|
| 393 |
"epoch": 13.0,
|
| 394 |
+
"eval_exact_match": 4.0,
|
| 395 |
+
"eval_f1": 9.841706398176983,
|
| 396 |
"step": 3250
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 13.2,
|
|
|
|
| 400 |
"learning_rate": 0.0001,
|
| 401 |
+
"loss": 0.3386,
|
| 402 |
"step": 3300
|
| 403 |
},
|
| 404 |
{
|
| 405 |
"epoch": 13.6,
|
|
|
|
| 406 |
"learning_rate": 0.0001,
|
| 407 |
+
"loss": 0.3305,
|
| 408 |
"step": 3400
|
| 409 |
},
|
| 410 |
{
|
| 411 |
"epoch": 14.0,
|
|
|
|
| 412 |
"learning_rate": 0.0001,
|
| 413 |
+
"loss": 0.3442,
|
| 414 |
"step": 3500
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 14.0,
|
| 418 |
+
"eval_accuracy": 0.5883291139240506,
|
| 419 |
+
"eval_loss": 3.077633857727051,
|
| 420 |
+
"eval_runtime": 4.4554,
|
| 421 |
+
"eval_samples_per_second": 112.224,
|
| 422 |
+
"eval_steps_per_second": 14.14,
|
| 423 |
"step": 3500
|
| 424 |
},
|
| 425 |
{
|
| 426 |
"epoch": 14.0,
|
| 427 |
+
"eval_exact_match": 5.0,
|
| 428 |
+
"eval_f1": 11.835427535427533,
|
| 429 |
"step": 3500
|
| 430 |
},
|
| 431 |
{
|
| 432 |
"epoch": 14.4,
|
|
|
|
| 433 |
"learning_rate": 0.0001,
|
| 434 |
+
"loss": 0.3131,
|
| 435 |
"step": 3600
|
| 436 |
},
|
| 437 |
{
|
| 438 |
"epoch": 14.8,
|
|
|
|
| 439 |
"learning_rate": 0.0001,
|
| 440 |
+
"loss": 0.3334,
|
| 441 |
"step": 3700
|
| 442 |
},
|
| 443 |
{
|
| 444 |
"epoch": 15.0,
|
| 445 |
+
"eval_accuracy": 0.5892911392405064,
|
| 446 |
+
"eval_loss": 3.1445634365081787,
|
| 447 |
+
"eval_runtime": 4.5617,
|
| 448 |
+
"eval_samples_per_second": 109.609,
|
| 449 |
+
"eval_steps_per_second": 13.811,
|
| 450 |
"step": 3750
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"epoch": 15.0,
|
| 454 |
+
"eval_exact_match": 1.2,
|
| 455 |
+
"eval_f1": 4.139209256423578,
|
| 456 |
"step": 3750
|
| 457 |
},
|
| 458 |
{
|
| 459 |
"epoch": 15.2,
|
|
|
|
| 460 |
"learning_rate": 0.0001,
|
| 461 |
+
"loss": 0.3191,
|
| 462 |
"step": 3800
|
| 463 |
},
|
| 464 |
{
|
| 465 |
"epoch": 15.6,
|
|
|
|
| 466 |
"learning_rate": 0.0001,
|
| 467 |
+
"loss": 0.3173,
|
| 468 |
"step": 3900
|
| 469 |
},
|
| 470 |
{
|
| 471 |
"epoch": 16.0,
|
|
|
|
| 472 |
"learning_rate": 0.0001,
|
| 473 |
+
"loss": 0.3252,
|
| 474 |
"step": 4000
|
| 475 |
},
|
| 476 |
{
|
| 477 |
"epoch": 16.0,
|
| 478 |
+
"eval_accuracy": 0.5877721518987342,
|
| 479 |
+
"eval_loss": 3.169813871383667,
|
| 480 |
+
"eval_runtime": 4.4332,
|
| 481 |
+
"eval_samples_per_second": 112.785,
|
| 482 |
+
"eval_steps_per_second": 14.211,
|
| 483 |
"step": 4000
|
| 484 |
},
|
| 485 |
{
|
| 486 |
"epoch": 16.0,
|
| 487 |
+
"eval_exact_match": 1.6,
|
| 488 |
+
"eval_f1": 5.750371546798473,
|
| 489 |
"step": 4000
|
| 490 |
},
|
| 491 |
{
|
| 492 |
"epoch": 16.4,
|
|
|
|
| 493 |
"learning_rate": 0.0001,
|
| 494 |
+
"loss": 0.3007,
|
| 495 |
"step": 4100
|
| 496 |
},
|
| 497 |
{
|
| 498 |
"epoch": 16.8,
|
|
|
|
| 499 |
"learning_rate": 0.0001,
|
| 500 |
+
"loss": 0.3185,
|
| 501 |
"step": 4200
|
| 502 |
},
|
| 503 |
{
|
| 504 |
"epoch": 17.0,
|
| 505 |
+
"eval_accuracy": 0.5890379746835444,
|
| 506 |
+
"eval_loss": 3.1473915576934814,
|
| 507 |
+
"eval_runtime": 4.7115,
|
| 508 |
+
"eval_samples_per_second": 106.124,
|
| 509 |
+
"eval_steps_per_second": 13.372,
|
| 510 |
"step": 4250
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"epoch": 17.0,
|
| 514 |
+
"eval_exact_match": 1.2,
|
| 515 |
+
"eval_f1": 4.06053598873457,
|
| 516 |
"step": 4250
|
| 517 |
},
|
| 518 |
{
|
| 519 |
"epoch": 17.2,
|
|
|
|
| 520 |
"learning_rate": 0.0001,
|
| 521 |
+
"loss": 0.304,
|
| 522 |
"step": 4300
|
| 523 |
},
|
| 524 |
{
|
| 525 |
"epoch": 17.6,
|
|
|
|
| 526 |
"learning_rate": 0.0001,
|
| 527 |
+
"loss": 0.3042,
|
| 528 |
"step": 4400
|
| 529 |
},
|
| 530 |
{
|
| 531 |
"epoch": 18.0,
|
|
|
|
| 532 |
"learning_rate": 0.0001,
|
| 533 |
+
"loss": 0.315,
|
| 534 |
"step": 4500
|
| 535 |
},
|
| 536 |
{
|
| 537 |
"epoch": 18.0,
|
| 538 |
+
"eval_accuracy": 0.5886835443037974,
|
| 539 |
+
"eval_loss": 3.2847023010253906,
|
| 540 |
+
"eval_runtime": 4.3996,
|
| 541 |
+
"eval_samples_per_second": 113.647,
|
| 542 |
+
"eval_steps_per_second": 14.32,
|
| 543 |
"step": 4500
|
| 544 |
},
|
| 545 |
{
|
| 546 |
"epoch": 18.0,
|
| 547 |
+
"eval_exact_match": 1.4,
|
| 548 |
+
"eval_f1": 3.727712915289645,
|
| 549 |
"step": 4500
|
| 550 |
},
|
| 551 |
{
|
| 552 |
"epoch": 18.4,
|
|
|
|
| 553 |
"learning_rate": 0.0001,
|
| 554 |
+
"loss": 0.2938,
|
| 555 |
"step": 4600
|
| 556 |
},
|
| 557 |
{
|
| 558 |
"epoch": 18.8,
|
|
|
|
| 559 |
"learning_rate": 0.0001,
|
| 560 |
+
"loss": 0.3047,
|
| 561 |
"step": 4700
|
| 562 |
},
|
| 563 |
{
|
| 564 |
"epoch": 19.0,
|
| 565 |
+
"eval_accuracy": 0.589493670886076,
|
| 566 |
+
"eval_loss": 3.2327334880828857,
|
| 567 |
+
"eval_runtime": 4.4051,
|
| 568 |
+
"eval_samples_per_second": 113.505,
|
| 569 |
+
"eval_steps_per_second": 14.302,
|
| 570 |
"step": 4750
|
| 571 |
},
|
| 572 |
{
|
| 573 |
"epoch": 19.0,
|
| 574 |
+
"eval_exact_match": 0.2,
|
| 575 |
+
"eval_f1": 2.292747940989559,
|
| 576 |
"step": 4750
|
| 577 |
},
|
| 578 |
{
|
| 579 |
"epoch": 19.2,
|
|
|
|
| 580 |
"learning_rate": 0.0001,
|
| 581 |
+
"loss": 0.2986,
|
| 582 |
"step": 4800
|
| 583 |
},
|
| 584 |
{
|
| 585 |
"epoch": 19.6,
|
|
|
|
| 586 |
"learning_rate": 0.0001,
|
| 587 |
+
"loss": 0.2982,
|
| 588 |
"step": 4900
|
| 589 |
},
|
| 590 |
{
|
| 591 |
"epoch": 20.0,
|
|
|
|
| 592 |
"learning_rate": 0.0001,
|
| 593 |
+
"loss": 0.3085,
|
| 594 |
"step": 5000
|
| 595 |
},
|
| 596 |
{
|
| 597 |
"epoch": 20.0,
|
| 598 |
+
"eval_accuracy": 0.5900253164556962,
|
| 599 |
+
"eval_loss": 3.21897292137146,
|
| 600 |
+
"eval_runtime": 4.6596,
|
| 601 |
+
"eval_samples_per_second": 107.305,
|
| 602 |
+
"eval_steps_per_second": 13.52,
|
| 603 |
"step": 5000
|
| 604 |
},
|
| 605 |
{
|
| 606 |
"epoch": 20.0,
|
| 607 |
+
"eval_exact_match": 0.2,
|
| 608 |
+
"eval_f1": 0.7610631267149897,
|
| 609 |
"step": 5000
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"epoch": 20.4,
|
|
|
|
| 613 |
"learning_rate": 0.0001,
|
| 614 |
+
"loss": 0.2837,
|
| 615 |
"step": 5100
|
| 616 |
},
|
| 617 |
{
|
| 618 |
"epoch": 20.8,
|
|
|
|
| 619 |
"learning_rate": 0.0001,
|
| 620 |
+
"loss": 0.2997,
|
| 621 |
"step": 5200
|
| 622 |
},
|
| 623 |
{
|
| 624 |
"epoch": 21.0,
|
| 625 |
+
"eval_accuracy": 0.5891139240506329,
|
| 626 |
+
"eval_loss": 3.3052353858947754,
|
| 627 |
+
"eval_runtime": 5.1205,
|
| 628 |
+
"eval_samples_per_second": 97.647,
|
| 629 |
+
"eval_steps_per_second": 12.303,
|
| 630 |
"step": 5250
|
| 631 |
},
|
| 632 |
{
|
| 633 |
"epoch": 21.0,
|
| 634 |
+
"eval_exact_match": 0.2,
|
| 635 |
+
"eval_f1": 2.0485022330843834,
|
| 636 |
"step": 5250
|
| 637 |
},
|
| 638 |
{
|
| 639 |
"epoch": 21.2,
|
|
|
|
| 640 |
"learning_rate": 0.0001,
|
| 641 |
+
"loss": 0.2935,
|
| 642 |
"step": 5300
|
| 643 |
},
|
| 644 |
{
|
| 645 |
"epoch": 21.6,
|
|
|
|
| 646 |
"learning_rate": 0.0001,
|
| 647 |
+
"loss": 0.289,
|
| 648 |
"step": 5400
|
| 649 |
},
|
| 650 |
{
|
| 651 |
"epoch": 22.0,
|
|
|
|
| 652 |
"learning_rate": 0.0001,
|
| 653 |
+
"loss": 0.3015,
|
| 654 |
"step": 5500
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 22.0,
|
| 658 |
+
"eval_accuracy": 0.5895949367088608,
|
| 659 |
+
"eval_loss": 3.304741382598877,
|
| 660 |
+
"eval_runtime": 4.5567,
|
| 661 |
+
"eval_samples_per_second": 109.728,
|
| 662 |
+
"eval_steps_per_second": 13.826,
|
| 663 |
"step": 5500
|
| 664 |
},
|
| 665 |
{
|
| 666 |
"epoch": 22.0,
|
| 667 |
+
"eval_exact_match": 0.4,
|
| 668 |
+
"eval_f1": 2.3959324119792065,
|
| 669 |
"step": 5500
|
| 670 |
},
|
| 671 |
{
|
| 672 |
"epoch": 22.4,
|
|
|
|
| 673 |
"learning_rate": 0.0001,
|
| 674 |
+
"loss": 0.2852,
|
| 675 |
"step": 5600
|
| 676 |
},
|
| 677 |
{
|
| 678 |
"epoch": 22.8,
|
|
|
|
| 679 |
"learning_rate": 0.0001,
|
| 680 |
+
"loss": 0.2965,
|
| 681 |
"step": 5700
|
| 682 |
},
|
| 683 |
{
|
| 684 |
"epoch": 23.0,
|
| 685 |
+
"eval_accuracy": 0.5889367088607594,
|
| 686 |
+
"eval_loss": 3.262343168258667,
|
| 687 |
+
"eval_runtime": 4.7114,
|
| 688 |
+
"eval_samples_per_second": 106.126,
|
| 689 |
+
"eval_steps_per_second": 13.372,
|
| 690 |
"step": 5750
|
| 691 |
},
|
| 692 |
{
|
| 693 |
"epoch": 23.0,
|
| 694 |
+
"eval_exact_match": 0.0,
|
| 695 |
+
"eval_f1": 0.9322877516375665,
|
| 696 |
"step": 5750
|
| 697 |
},
|
| 698 |
{
|
| 699 |
"epoch": 23.2,
|
|
|
|
| 700 |
"learning_rate": 0.0001,
|
| 701 |
+
"loss": 0.2912,
|
| 702 |
"step": 5800
|
| 703 |
},
|
| 704 |
{
|
| 705 |
"epoch": 23.6,
|
|
|
|
| 706 |
"learning_rate": 0.0001,
|
| 707 |
+
"loss": 0.342,
|
| 708 |
"step": 5900
|
| 709 |
},
|
| 710 |
{
|
| 711 |
"epoch": 24.0,
|
|
|
|
| 712 |
"learning_rate": 0.0001,
|
| 713 |
+
"loss": 0.4153,
|
| 714 |
"step": 6000
|
| 715 |
},
|
| 716 |
{
|
| 717 |
"epoch": 24.0,
|
| 718 |
+
"eval_accuracy": 0.5691898734177215,
|
| 719 |
+
"eval_loss": 3.5901904106140137,
|
| 720 |
+
"eval_runtime": 4.5558,
|
| 721 |
+
"eval_samples_per_second": 109.751,
|
| 722 |
+
"eval_steps_per_second": 13.829,
|
| 723 |
"step": 6000
|
| 724 |
},
|
| 725 |
{
|
| 726 |
"epoch": 24.0,
|
| 727 |
+
"eval_exact_match": 0.0,
|
| 728 |
+
"eval_f1": 0.1413939662703534,
|
| 729 |
"step": 6000
|
| 730 |
},
|
| 731 |
{
|
| 732 |
"epoch": 24.4,
|
|
|
|
| 733 |
"learning_rate": 0.0001,
|
| 734 |
+
"loss": 0.8688,
|
| 735 |
"step": 6100
|
| 736 |
},
|
| 737 |
{
|
| 738 |
"epoch": 24.8,
|
|
|
|
| 739 |
"learning_rate": 0.0001,
|
| 740 |
+
"loss": 6.028,
|
| 741 |
"step": 6200
|
| 742 |
},
|
| 743 |
{
|
| 744 |
"epoch": 25.0,
|
| 745 |
+
"eval_accuracy": 0.3576708860759494,
|
| 746 |
+
"eval_loss": 8.148326873779297,
|
| 747 |
+
"eval_runtime": 4.6671,
|
| 748 |
+
"eval_samples_per_second": 107.134,
|
| 749 |
+
"eval_steps_per_second": 13.499,
|
| 750 |
"step": 6250
|
| 751 |
},
|
| 752 |
{
|
| 753 |
"epoch": 25.0,
|
| 754 |
+
"eval_exact_match": 0.0,
|
| 755 |
+
"eval_f1": 0.02362507427213309,
|
| 756 |
"step": 6250
|
| 757 |
},
|
| 758 |
{
|
| 759 |
"epoch": 25.2,
|
|
|
|
| 760 |
"learning_rate": 0.0001,
|
| 761 |
+
"loss": 8.1437,
|
| 762 |
"step": 6300
|
| 763 |
},
|
| 764 |
{
|
| 765 |
"epoch": 25.6,
|
|
|
|
| 766 |
"learning_rate": 0.0001,
|
| 767 |
+
"loss": 8.7564,
|
| 768 |
"step": 6400
|
| 769 |
},
|
| 770 |
{
|
| 771 |
"epoch": 26.0,
|
|
|
|
| 772 |
"learning_rate": 0.0001,
|
| 773 |
+
"loss": 8.326,
|
| 774 |
"step": 6500
|
| 775 |
},
|
| 776 |
{
|
| 777 |
"epoch": 26.0,
|
| 778 |
+
"eval_accuracy": 0.34653164556962024,
|
| 779 |
+
"eval_loss": 7.65614652633667,
|
| 780 |
+
"eval_runtime": 5.1433,
|
| 781 |
+
"eval_samples_per_second": 97.214,
|
| 782 |
+
"eval_steps_per_second": 12.249,
|
| 783 |
"step": 6500
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"epoch": 26.0,
|
| 787 |
+
"eval_exact_match": 0.0,
|
| 788 |
+
"eval_f1": 0.024685997736521473,
|
| 789 |
"step": 6500
|
| 790 |
},
|
| 791 |
{
|
| 792 |
"epoch": 26.4,
|
|
|
|
| 793 |
"learning_rate": 0.0001,
|
| 794 |
+
"loss": 7.6269,
|
| 795 |
"step": 6600
|
| 796 |
},
|
| 797 |
{
|
| 798 |
"epoch": 26.8,
|
|
|
|
| 799 |
"learning_rate": 0.0001,
|
| 800 |
+
"loss": 7.2838,
|
| 801 |
"step": 6700
|
| 802 |
},
|
| 803 |
{
|
| 804 |
"epoch": 27.0,
|
| 805 |
+
"eval_accuracy": 0.38255696202531647,
|
| 806 |
+
"eval_loss": 6.460492134094238,
|
| 807 |
+
"eval_runtime": 4.4087,
|
| 808 |
+
"eval_samples_per_second": 113.412,
|
| 809 |
+
"eval_steps_per_second": 14.29,
|
| 810 |
"step": 6750
|
| 811 |
},
|
| 812 |
{
|
| 813 |
"epoch": 27.0,
|
| 814 |
+
"eval_exact_match": 0.0,
|
| 815 |
+
"eval_f1": 0.013050397877984087,
|
| 816 |
"step": 6750
|
| 817 |
},
|
| 818 |
{
|
| 819 |
"epoch": 27.2,
|
|
|
|
| 820 |
"learning_rate": 0.0001,
|
| 821 |
+
"loss": 6.4966,
|
| 822 |
"step": 6800
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 27.6,
|
|
|
|
| 826 |
"learning_rate": 0.0001,
|
| 827 |
+
"loss": 6.3097,
|
| 828 |
"step": 6900
|
| 829 |
},
|
| 830 |
{
|
| 831 |
"epoch": 28.0,
|
|
|
|
| 832 |
"learning_rate": 0.0001,
|
| 833 |
+
"loss": 5.9381,
|
| 834 |
"step": 7000
|
| 835 |
},
|
| 836 |
{
|
| 837 |
"epoch": 28.0,
|
| 838 |
+
"eval_accuracy": 0.4297974683544304,
|
| 839 |
+
"eval_loss": 5.816593647003174,
|
| 840 |
+
"eval_runtime": 4.5579,
|
| 841 |
+
"eval_samples_per_second": 109.699,
|
| 842 |
+
"eval_steps_per_second": 13.822,
|
| 843 |
"step": 7000
|
| 844 |
},
|
| 845 |
{
|
| 846 |
"epoch": 28.0,
|
| 847 |
+
"eval_exact_match": 0.0,
|
| 848 |
+
"eval_f1": 0.060402785504276815,
|
| 849 |
"step": 7000
|
| 850 |
},
|
| 851 |
{
|
| 852 |
"epoch": 28.4,
|
|
|
|
| 853 |
"learning_rate": 0.0001,
|
| 854 |
+
"loss": 5.7471,
|
| 855 |
"step": 7100
|
| 856 |
},
|
| 857 |
{
|
| 858 |
"epoch": 28.8,
|
|
|
|
| 859 |
"learning_rate": 0.0001,
|
| 860 |
+
"loss": 5.7763,
|
| 861 |
"step": 7200
|
| 862 |
},
|
| 863 |
{
|
| 864 |
"epoch": 29.0,
|
| 865 |
+
"eval_accuracy": 0.4152658227848101,
|
| 866 |
+
"eval_loss": 5.907126426696777,
|
| 867 |
+
"eval_runtime": 5.1413,
|
| 868 |
+
"eval_samples_per_second": 97.252,
|
| 869 |
+
"eval_steps_per_second": 12.254,
|
| 870 |
"step": 7250
|
| 871 |
},
|
| 872 |
{
|
| 873 |
"epoch": 29.0,
|
| 874 |
+
"eval_exact_match": 0.0,
|
| 875 |
+
"eval_f1": 0.005405405405405405,
|
| 876 |
"step": 7250
|
| 877 |
},
|
| 878 |
{
|
| 879 |
"epoch": 29.2,
|
|
|
|
| 880 |
"learning_rate": 0.0001,
|
| 881 |
+
"loss": 5.7217,
|
| 882 |
"step": 7300
|
| 883 |
},
|
| 884 |
{
|
| 885 |
"epoch": 29.6,
|
|
|
|
| 886 |
"learning_rate": 0.0001,
|
| 887 |
+
"loss": 5.4486,
|
| 888 |
"step": 7400
|
| 889 |
},
|
| 890 |
{
|
| 891 |
"epoch": 30.0,
|
|
|
|
| 892 |
"learning_rate": 0.0001,
|
| 893 |
+
"loss": 5.0995,
|
| 894 |
"step": 7500
|
| 895 |
},
|
| 896 |
{
|
| 897 |
"epoch": 30.0,
|
| 898 |
+
"eval_accuracy": 0.45736708860759495,
|
| 899 |
+
"eval_loss": 4.821659088134766,
|
| 900 |
+
"eval_runtime": 4.5588,
|
| 901 |
+
"eval_samples_per_second": 109.677,
|
| 902 |
+
"eval_steps_per_second": 13.819,
|
| 903 |
"step": 7500
|
| 904 |
},
|
| 905 |
{
|
| 906 |
"epoch": 30.0,
|
| 907 |
+
"eval_exact_match": 0.0,
|
| 908 |
+
"eval_f1": 0.0,
|
| 909 |
"step": 7500
|
| 910 |
},
|
| 911 |
{
|
| 912 |
"epoch": 30.4,
|
|
|
|
| 913 |
"learning_rate": 0.0001,
|
| 914 |
+
"loss": 4.2777,
|
| 915 |
"step": 7600
|
| 916 |
},
|
| 917 |
{
|
| 918 |
"epoch": 30.8,
|
|
|
|
| 919 |
"learning_rate": 0.0001,
|
| 920 |
+
"loss": 6.9138,
|
| 921 |
"step": 7700
|
| 922 |
},
|
| 923 |
{
|
| 924 |
"epoch": 31.0,
|
| 925 |
+
"eval_accuracy": 0.3596962025316456,
|
| 926 |
+
"eval_loss": 6.576240062713623,
|
| 927 |
+
"eval_runtime": 4.8415,
|
| 928 |
+
"eval_samples_per_second": 103.273,
|
| 929 |
+
"eval_steps_per_second": 13.012,
|
| 930 |
"step": 7750
|
| 931 |
},
|
| 932 |
{
|
| 933 |
"epoch": 31.0,
|
| 934 |
+
"eval_exact_match": 0.0,
|
| 935 |
+
"eval_f1": 0.0,
|
| 936 |
"step": 7750
|
| 937 |
}
|
| 938 |
],
|
| 939 |
"logging_steps": 100,
|
| 940 |
"max_steps": 12500,
|
|
|
|
| 941 |
"num_train_epochs": 50,
|
| 942 |
"save_steps": 500,
|
| 943 |
+
"total_flos": 4.955087674005258e+17,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 944 |
"trial_name": null,
|
| 945 |
"trial_params": null
|
| 946 |
}
|
checkpoint-7750/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:e32f95a567f2c80104b456ab796a180c8c7fa1c0685e00bbceb4995e8fa84ef1
|
| 3 |
+
size 4728
|