Training in progress, epoch 37, checkpoint
Browse files- checkpoint-19573/adapter_config.json +1 -1
- checkpoint-19573/adapter_model.bin +3 -0
- checkpoint-19573/added_tokens.json +3 -3
- checkpoint-19573/optimizer.pt +2 -2
- checkpoint-19573/rng_state_0.pth +1 -1
- checkpoint-19573/rng_state_1.pth +1 -1
- checkpoint-19573/rng_state_2.pth +1 -1
- checkpoint-19573/rng_state_3.pth +1 -1
- checkpoint-19573/special_tokens_map.json +4 -12
- checkpoint-19573/tokenizer.json +0 -0
- checkpoint-19573/tokenizer.model +3 -0
- checkpoint-19573/tokenizer_config.json +17 -20
- checkpoint-19573/trainer_state.json +637 -846
- checkpoint-19573/training_args.bin +2 -2
checkpoint-19573/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-19573/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5f2b8bc285b55e235665f48e3afe663b48465a5935d8a3e91d5191f83d9ea0fd
|
| 3 |
+
size 143269386
|
checkpoint-19573/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-19573/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:a4bb9bd49f3b98eff0b31b4c685edb1d842e2794d5cb7c581413b188834ab0a8
|
| 3 |
+
size 286585234
|
checkpoint-19573/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:be643b435b8982ff177c4198540a617fac32bb1d5544bed6ce9d8cb593cea68f
|
| 3 |
size 15024
|
checkpoint-19573/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:c33e6506009eea7e53086521ba5bc57226c2e8b0fe9a7b38ba17a4a00b2cd1ae
|
| 3 |
size 15024
|
checkpoint-19573/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 sha256:4d63e5dba1dc7919d57e55e8b8bb3aa3e787515ebbbe571a19fb8f8d0b708cc3
|
| 3 |
size 15024
|
checkpoint-19573/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 sha256:7547a89b4555b2f8534169da5e868784864ab254ddc5cdec1dad4d224eea7c44
|
| 3 |
size 15024
|
checkpoint-19573/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-19573/tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-19573/tokenizer.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
|
| 3 |
+
size 499723
|
checkpoint-19573/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-19573/trainer_state.json
CHANGED
|
@@ -9,1660 +9,1491 @@
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch": 0.
|
| 13 |
-
"grad_norm": 0.5558584332466125,
|
| 14 |
"learning_rate": 3e-05,
|
| 15 |
-
"loss":
|
| 16 |
"step": 100
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 0.
|
| 20 |
-
"grad_norm": 0.4733140468597412,
|
| 21 |
"learning_rate": 3e-05,
|
| 22 |
-
"loss": 1.
|
| 23 |
"step": 200
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch": 0.
|
| 27 |
-
"grad_norm": 0.48580050468444824,
|
| 28 |
"learning_rate": 3e-05,
|
| 29 |
-
"loss": 1.
|
| 30 |
"step": 300
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 0.
|
| 34 |
-
"grad_norm": 0.40655234456062317,
|
| 35 |
"learning_rate": 3e-05,
|
| 36 |
-
"loss": 1.
|
| 37 |
"step": 400
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch": 0.
|
| 41 |
-
"grad_norm": 0.6303955316543579,
|
| 42 |
"learning_rate": 3e-05,
|
| 43 |
-
"loss": 1.
|
| 44 |
"step": 500
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 1.0,
|
| 48 |
-
"eval_accuracy": 0.
|
| 49 |
-
"eval_loss": 1.
|
| 50 |
-
"eval_runtime":
|
| 51 |
-
"eval_samples_per_second":
|
| 52 |
-
"eval_steps_per_second":
|
| 53 |
"step": 529
|
| 54 |
},
|
| 55 |
{
|
| 56 |
"epoch": 1.0,
|
| 57 |
-
"eval_exact_match":
|
| 58 |
-
"eval_f1":
|
| 59 |
"step": 529
|
| 60 |
},
|
| 61 |
{
|
| 62 |
-
"epoch": 1.
|
| 63 |
-
"grad_norm": 0.4278818666934967,
|
| 64 |
"learning_rate": 3e-05,
|
| 65 |
-
"loss": 1.
|
| 66 |
"step": 600
|
| 67 |
},
|
| 68 |
{
|
| 69 |
-
"epoch": 1.
|
| 70 |
-
"grad_norm": 0.449830025434494,
|
| 71 |
"learning_rate": 3e-05,
|
| 72 |
-
"loss": 1.
|
| 73 |
"step": 700
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch": 1.
|
| 77 |
-
"grad_norm": 0.5130725502967834,
|
| 78 |
"learning_rate": 3e-05,
|
| 79 |
-
"loss": 1.
|
| 80 |
"step": 800
|
| 81 |
},
|
| 82 |
{
|
| 83 |
-
"epoch": 1.
|
| 84 |
-
"grad_norm": 0.4889715611934662,
|
| 85 |
"learning_rate": 3e-05,
|
| 86 |
-
"loss": 1.
|
| 87 |
"step": 900
|
| 88 |
},
|
| 89 |
{
|
| 90 |
-
"epoch": 1.
|
| 91 |
-
"grad_norm": 11.186380386352539,
|
| 92 |
"learning_rate": 3e-05,
|
| 93 |
-
"loss": 1.
|
| 94 |
"step": 1000
|
| 95 |
},
|
| 96 |
{
|
| 97 |
"epoch": 2.0,
|
| 98 |
-
"eval_accuracy": 0.
|
| 99 |
-
"eval_loss": 1.
|
| 100 |
-
"eval_runtime":
|
| 101 |
-
"eval_samples_per_second":
|
| 102 |
-
"eval_steps_per_second":
|
| 103 |
"step": 1058
|
| 104 |
},
|
| 105 |
{
|
| 106 |
"epoch": 2.0,
|
| 107 |
-
"eval_exact_match":
|
| 108 |
-
"eval_f1":
|
| 109 |
"step": 1058
|
| 110 |
},
|
| 111 |
{
|
| 112 |
-
"epoch": 2.
|
| 113 |
-
"grad_norm": 0.5414931774139404,
|
| 114 |
"learning_rate": 3e-05,
|
| 115 |
-
"loss": 1.
|
| 116 |
"step": 1100
|
| 117 |
},
|
| 118 |
{
|
| 119 |
-
"epoch": 2.
|
| 120 |
-
"grad_norm": 7.441005706787109,
|
| 121 |
"learning_rate": 3e-05,
|
| 122 |
-
"loss": 1.
|
| 123 |
"step": 1200
|
| 124 |
},
|
| 125 |
{
|
| 126 |
-
"epoch": 2.
|
| 127 |
-
"grad_norm": 24.312145233154297,
|
| 128 |
"learning_rate": 3e-05,
|
| 129 |
-
"loss": 1.
|
| 130 |
"step": 1300
|
| 131 |
},
|
| 132 |
{
|
| 133 |
-
"epoch": 2.
|
| 134 |
-
"grad_norm": 0.7407662868499756,
|
| 135 |
"learning_rate": 3e-05,
|
| 136 |
-
"loss": 1.
|
| 137 |
"step": 1400
|
| 138 |
},
|
| 139 |
{
|
| 140 |
-
"epoch": 2.
|
| 141 |
-
"grad_norm": 0.9653642177581787,
|
| 142 |
"learning_rate": 3e-05,
|
| 143 |
-
"loss": 1.
|
| 144 |
"step": 1500
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 3.0,
|
| 148 |
-
"eval_accuracy": 0.
|
| 149 |
-
"eval_loss": 1.
|
| 150 |
-
"eval_runtime":
|
| 151 |
-
"eval_samples_per_second":
|
| 152 |
-
"eval_steps_per_second": 12.
|
| 153 |
"step": 1587
|
| 154 |
},
|
| 155 |
{
|
| 156 |
"epoch": 3.0,
|
| 157 |
-
"eval_exact_match":
|
| 158 |
-
"eval_f1":
|
| 159 |
"step": 1587
|
| 160 |
},
|
| 161 |
{
|
| 162 |
-
"epoch": 3.
|
| 163 |
-
"grad_norm": 450.6055603027344,
|
| 164 |
"learning_rate": 3e-05,
|
| 165 |
-
"loss": 1.
|
| 166 |
"step": 1600
|
| 167 |
},
|
| 168 |
{
|
| 169 |
-
"epoch": 3.
|
| 170 |
-
"grad_norm": 2.1127028465270996,
|
| 171 |
"learning_rate": 3e-05,
|
| 172 |
-
"loss": 1.
|
| 173 |
"step": 1700
|
| 174 |
},
|
| 175 |
{
|
| 176 |
-
"epoch": 3.
|
| 177 |
-
"grad_norm": 564.9320068359375,
|
| 178 |
"learning_rate": 3e-05,
|
| 179 |
-
"loss": 1.
|
| 180 |
"step": 1800
|
| 181 |
},
|
| 182 |
{
|
| 183 |
-
"epoch": 3.
|
| 184 |
-
"grad_norm": 52.5078010559082,
|
| 185 |
"learning_rate": 3e-05,
|
| 186 |
-
"loss": 1.
|
| 187 |
"step": 1900
|
| 188 |
},
|
| 189 |
{
|
| 190 |
-
"epoch": 3.
|
| 191 |
-
"grad_norm": 27.87557601928711,
|
| 192 |
"learning_rate": 3e-05,
|
| 193 |
-
"loss": 1.
|
| 194 |
"step": 2000
|
| 195 |
},
|
| 196 |
{
|
| 197 |
-
"epoch": 3.
|
| 198 |
-
"grad_norm": 4.810656547546387,
|
| 199 |
"learning_rate": 3e-05,
|
| 200 |
-
"loss": 1.
|
| 201 |
"step": 2100
|
| 202 |
},
|
| 203 |
{
|
| 204 |
"epoch": 4.0,
|
| 205 |
-
"eval_accuracy": 0.
|
| 206 |
-
"eval_loss": 1.
|
| 207 |
-
"eval_runtime": 5.
|
| 208 |
-
"eval_samples_per_second":
|
| 209 |
-
"eval_steps_per_second":
|
| 210 |
"step": 2116
|
| 211 |
},
|
| 212 |
{
|
| 213 |
"epoch": 4.0,
|
| 214 |
-
"eval_exact_match":
|
| 215 |
-
"eval_f1":
|
| 216 |
"step": 2116
|
| 217 |
},
|
| 218 |
{
|
| 219 |
-
"epoch": 4.
|
| 220 |
-
"grad_norm": 13.004076957702637,
|
| 221 |
"learning_rate": 3e-05,
|
| 222 |
-
"loss": 1.
|
| 223 |
"step": 2200
|
| 224 |
},
|
| 225 |
{
|
| 226 |
-
"epoch": 4.
|
| 227 |
-
"grad_norm": 2.23368501663208,
|
| 228 |
"learning_rate": 3e-05,
|
| 229 |
-
"loss": 1.
|
| 230 |
"step": 2300
|
| 231 |
},
|
| 232 |
{
|
| 233 |
-
"epoch": 4.
|
| 234 |
-
"grad_norm": 0.8635586500167847,
|
| 235 |
"learning_rate": 3e-05,
|
| 236 |
-
"loss": 1.
|
| 237 |
"step": 2400
|
| 238 |
},
|
| 239 |
{
|
| 240 |
-
"epoch": 4.
|
| 241 |
-
"grad_norm": 6.5326738357543945,
|
| 242 |
"learning_rate": 3e-05,
|
| 243 |
-
"loss": 1.
|
| 244 |
"step": 2500
|
| 245 |
},
|
| 246 |
{
|
| 247 |
-
"epoch": 4.
|
| 248 |
-
"grad_norm": 463.4647521972656,
|
| 249 |
"learning_rate": 3e-05,
|
| 250 |
-
"loss": 1.
|
| 251 |
"step": 2600
|
| 252 |
},
|
| 253 |
{
|
| 254 |
"epoch": 5.0,
|
| 255 |
-
"eval_accuracy": 0.
|
| 256 |
-
"eval_loss": 1.
|
| 257 |
-
"eval_runtime":
|
| 258 |
-
"eval_samples_per_second":
|
| 259 |
-
"eval_steps_per_second":
|
| 260 |
"step": 2645
|
| 261 |
},
|
| 262 |
{
|
| 263 |
"epoch": 5.0,
|
| 264 |
-
"eval_exact_match":
|
| 265 |
-
"eval_f1":
|
| 266 |
"step": 2645
|
| 267 |
},
|
| 268 |
{
|
| 269 |
-
"epoch": 5.
|
| 270 |
-
"grad_norm": 203.82815551757812,
|
| 271 |
"learning_rate": 3e-05,
|
| 272 |
-
"loss": 1.
|
| 273 |
"step": 2700
|
| 274 |
},
|
| 275 |
{
|
| 276 |
-
"epoch": 5.
|
| 277 |
-
"grad_norm": 660.8076782226562,
|
| 278 |
"learning_rate": 3e-05,
|
| 279 |
-
"loss": 1.
|
| 280 |
"step": 2800
|
| 281 |
},
|
| 282 |
{
|
| 283 |
-
"epoch": 5.
|
| 284 |
-
"grad_norm": 5727.51806640625,
|
| 285 |
"learning_rate": 3e-05,
|
| 286 |
-
"loss": 1.
|
| 287 |
"step": 2900
|
| 288 |
},
|
| 289 |
{
|
| 290 |
-
"epoch": 5.
|
| 291 |
-
"grad_norm": 4880698.0,
|
| 292 |
"learning_rate": 3e-05,
|
| 293 |
-
"loss":
|
| 294 |
"step": 3000
|
| 295 |
},
|
| 296 |
{
|
| 297 |
-
"epoch": 5.
|
| 298 |
-
"grad_norm": 1192.6517333984375,
|
| 299 |
"learning_rate": 3e-05,
|
| 300 |
-
"loss":
|
| 301 |
"step": 3100
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 6.0,
|
| 305 |
-
"eval_accuracy": 0.
|
| 306 |
-
"eval_loss": 1.
|
| 307 |
-
"eval_runtime": 5.
|
| 308 |
-
"eval_samples_per_second":
|
| 309 |
-
"eval_steps_per_second":
|
| 310 |
"step": 3174
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 6.0,
|
| 314 |
-
"eval_exact_match":
|
| 315 |
-
"eval_f1":
|
| 316 |
"step": 3174
|
| 317 |
},
|
| 318 |
{
|
| 319 |
-
"epoch": 6.
|
| 320 |
-
"grad_norm": 532.3778686523438,
|
| 321 |
"learning_rate": 3e-05,
|
| 322 |
-
"loss":
|
| 323 |
"step": 3200
|
| 324 |
},
|
| 325 |
{
|
| 326 |
-
"epoch": 6.
|
| 327 |
-
"grad_norm": 565.6697998046875,
|
| 328 |
"learning_rate": 3e-05,
|
| 329 |
-
"loss": 1.
|
| 330 |
"step": 3300
|
| 331 |
},
|
| 332 |
{
|
| 333 |
-
"epoch": 6.
|
| 334 |
-
"grad_norm": 25206.482421875,
|
| 335 |
"learning_rate": 3e-05,
|
| 336 |
-
"loss":
|
| 337 |
"step": 3400
|
| 338 |
},
|
| 339 |
{
|
| 340 |
-
"epoch": 6.
|
| 341 |
-
"grad_norm": 71.88556671142578,
|
| 342 |
"learning_rate": 3e-05,
|
| 343 |
-
"loss":
|
| 344 |
"step": 3500
|
| 345 |
},
|
| 346 |
{
|
| 347 |
-
"epoch": 6.
|
| 348 |
-
"grad_norm": 269563.15625,
|
| 349 |
"learning_rate": 3e-05,
|
| 350 |
-
"loss":
|
| 351 |
"step": 3600
|
| 352 |
},
|
| 353 |
{
|
| 354 |
-
"epoch": 6.
|
| 355 |
-
"grad_norm": 11768.7880859375,
|
| 356 |
"learning_rate": 3e-05,
|
| 357 |
-
"loss":
|
| 358 |
"step": 3700
|
| 359 |
},
|
| 360 |
{
|
| 361 |
"epoch": 7.0,
|
| 362 |
-
"eval_accuracy": 0.
|
| 363 |
-
"eval_loss":
|
| 364 |
-
"eval_runtime":
|
| 365 |
-
"eval_samples_per_second":
|
| 366 |
-
"eval_steps_per_second":
|
| 367 |
"step": 3703
|
| 368 |
},
|
| 369 |
{
|
| 370 |
"epoch": 7.0,
|
| 371 |
-
"eval_exact_match":
|
| 372 |
-
"eval_f1":
|
| 373 |
"step": 3703
|
| 374 |
},
|
| 375 |
{
|
| 376 |
-
"epoch": 7.
|
| 377 |
-
"grad_norm": 6220.75244140625,
|
| 378 |
"learning_rate": 3e-05,
|
| 379 |
-
"loss":
|
| 380 |
"step": 3800
|
| 381 |
},
|
| 382 |
{
|
| 383 |
-
"epoch": 7.
|
| 384 |
-
"grad_norm": 3387.953857421875,
|
| 385 |
"learning_rate": 3e-05,
|
| 386 |
-
"loss":
|
| 387 |
"step": 3900
|
| 388 |
},
|
| 389 |
{
|
| 390 |
-
"epoch": 7.
|
| 391 |
-
"grad_norm": 372.8681640625,
|
| 392 |
"learning_rate": 3e-05,
|
| 393 |
-
"loss":
|
| 394 |
"step": 4000
|
| 395 |
},
|
| 396 |
{
|
| 397 |
-
"epoch": 7.
|
| 398 |
-
"grad_norm": 159.64283752441406,
|
| 399 |
"learning_rate": 3e-05,
|
| 400 |
-
"loss":
|
| 401 |
"step": 4100
|
| 402 |
},
|
| 403 |
{
|
| 404 |
-
"epoch": 7.
|
| 405 |
-
"grad_norm": 751876.125,
|
| 406 |
"learning_rate": 3e-05,
|
| 407 |
-
"loss":
|
| 408 |
"step": 4200
|
| 409 |
},
|
| 410 |
{
|
| 411 |
"epoch": 8.0,
|
| 412 |
-
"eval_accuracy": 0.
|
| 413 |
-
"eval_loss":
|
| 414 |
-
"eval_runtime":
|
| 415 |
-
"eval_samples_per_second":
|
| 416 |
-
"eval_steps_per_second":
|
| 417 |
"step": 4232
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"epoch": 8.0,
|
| 421 |
-
"eval_exact_match":
|
| 422 |
-
"eval_f1":
|
| 423 |
"step": 4232
|
| 424 |
},
|
| 425 |
{
|
| 426 |
-
"epoch": 8.
|
| 427 |
-
"grad_norm": 1035664128.0,
|
| 428 |
"learning_rate": 3e-05,
|
| 429 |
-
"loss":
|
| 430 |
"step": 4300
|
| 431 |
},
|
| 432 |
{
|
| 433 |
-
"epoch": 8.
|
| 434 |
-
"grad_norm": 11571242.0,
|
| 435 |
"learning_rate": 3e-05,
|
| 436 |
-
"loss":
|
| 437 |
"step": 4400
|
| 438 |
},
|
| 439 |
{
|
| 440 |
-
"epoch": 8.
|
| 441 |
-
"grad_norm": 88236256.0,
|
| 442 |
"learning_rate": 3e-05,
|
| 443 |
-
"loss":
|
| 444 |
"step": 4500
|
| 445 |
},
|
| 446 |
{
|
| 447 |
-
"epoch": 8.
|
| 448 |
-
"grad_norm": 105426080.0,
|
| 449 |
"learning_rate": 3e-05,
|
| 450 |
-
"loss":
|
| 451 |
"step": 4600
|
| 452 |
},
|
| 453 |
{
|
| 454 |
-
"epoch": 8.
|
| 455 |
-
"grad_norm": 51438844.0,
|
| 456 |
"learning_rate": 3e-05,
|
| 457 |
-
"loss":
|
| 458 |
"step": 4700
|
| 459 |
},
|
| 460 |
{
|
| 461 |
"epoch": 9.0,
|
| 462 |
-
"eval_accuracy": 0.
|
| 463 |
-
"eval_loss":
|
| 464 |
-
"eval_runtime":
|
| 465 |
-
"eval_samples_per_second":
|
| 466 |
-
"eval_steps_per_second":
|
| 467 |
"step": 4761
|
| 468 |
},
|
| 469 |
{
|
| 470 |
"epoch": 9.0,
|
| 471 |
-
"eval_exact_match":
|
| 472 |
-
"eval_f1":
|
| 473 |
"step": 4761
|
| 474 |
},
|
| 475 |
{
|
| 476 |
-
"epoch": 9.
|
| 477 |
-
"grad_norm": 8742571.0,
|
| 478 |
"learning_rate": 3e-05,
|
| 479 |
-
"loss":
|
| 480 |
"step": 4800
|
| 481 |
},
|
| 482 |
{
|
| 483 |
-
"epoch": 9.
|
| 484 |
-
"grad_norm": 4885384192.0,
|
| 485 |
"learning_rate": 3e-05,
|
| 486 |
-
"loss":
|
| 487 |
"step": 4900
|
| 488 |
},
|
| 489 |
{
|
| 490 |
-
"epoch": 9.
|
| 491 |
-
"grad_norm": 919074304.0,
|
| 492 |
"learning_rate": 3e-05,
|
| 493 |
-
"loss":
|
| 494 |
"step": 5000
|
| 495 |
},
|
| 496 |
{
|
| 497 |
-
"epoch": 9.
|
| 498 |
-
"grad_norm": 9706883072.0,
|
| 499 |
"learning_rate": 3e-05,
|
| 500 |
-
"loss":
|
| 501 |
"step": 5100
|
| 502 |
},
|
| 503 |
{
|
| 504 |
-
"epoch": 9.
|
| 505 |
-
"grad_norm": 35723780096.0,
|
| 506 |
"learning_rate": 3e-05,
|
| 507 |
-
"loss":
|
| 508 |
"step": 5200
|
| 509 |
},
|
| 510 |
{
|
| 511 |
"epoch": 10.0,
|
| 512 |
-
"eval_accuracy": 0.
|
| 513 |
-
"eval_loss":
|
| 514 |
-
"eval_runtime":
|
| 515 |
-
"eval_samples_per_second":
|
| 516 |
-
"eval_steps_per_second": 12.
|
| 517 |
"step": 5290
|
| 518 |
},
|
| 519 |
{
|
| 520 |
"epoch": 10.0,
|
| 521 |
-
"eval_exact_match":
|
| 522 |
-
"eval_f1":
|
| 523 |
"step": 5290
|
| 524 |
},
|
| 525 |
{
|
| 526 |
-
"epoch": 10.
|
| 527 |
-
"grad_norm": 172018032.0,
|
| 528 |
"learning_rate": 3e-05,
|
| 529 |
-
"loss":
|
| 530 |
"step": 5300
|
| 531 |
},
|
| 532 |
{
|
| 533 |
-
"epoch": 10.
|
| 534 |
-
"grad_norm": 329336992.0,
|
| 535 |
"learning_rate": 3e-05,
|
| 536 |
-
"loss":
|
| 537 |
"step": 5400
|
| 538 |
},
|
| 539 |
{
|
| 540 |
-
"epoch": 10.
|
| 541 |
-
"grad_norm": 74210560.0,
|
| 542 |
"learning_rate": 3e-05,
|
| 543 |
-
"loss":
|
| 544 |
"step": 5500
|
| 545 |
},
|
| 546 |
{
|
| 547 |
-
"epoch": 10.
|
| 548 |
-
"grad_norm": 497968480.0,
|
| 549 |
"learning_rate": 3e-05,
|
| 550 |
-
"loss":
|
| 551 |
"step": 5600
|
| 552 |
},
|
| 553 |
{
|
| 554 |
-
"epoch": 10.
|
| 555 |
-
"grad_norm": 34138104.0,
|
| 556 |
"learning_rate": 3e-05,
|
| 557 |
-
"loss":
|
| 558 |
"step": 5700
|
| 559 |
},
|
| 560 |
{
|
| 561 |
-
"epoch": 10.
|
| 562 |
-
"grad_norm": 308232992.0,
|
| 563 |
"learning_rate": 3e-05,
|
| 564 |
-
"loss":
|
| 565 |
"step": 5800
|
| 566 |
},
|
| 567 |
{
|
| 568 |
"epoch": 11.0,
|
| 569 |
-
"eval_accuracy": 0.
|
| 570 |
-
"eval_loss":
|
| 571 |
-
"eval_runtime":
|
| 572 |
-
"eval_samples_per_second":
|
| 573 |
-
"eval_steps_per_second":
|
| 574 |
"step": 5819
|
| 575 |
},
|
| 576 |
{
|
| 577 |
"epoch": 11.0,
|
| 578 |
-
"eval_exact_match":
|
| 579 |
-
"eval_f1":
|
| 580 |
"step": 5819
|
| 581 |
},
|
| 582 |
{
|
| 583 |
-
"epoch": 11.
|
| 584 |
-
"grad_norm": 255807824.0,
|
| 585 |
"learning_rate": 3e-05,
|
| 586 |
-
"loss":
|
| 587 |
"step": 5900
|
| 588 |
},
|
| 589 |
{
|
| 590 |
-
"epoch": 11.
|
| 591 |
-
"grad_norm": 27976615936.0,
|
| 592 |
"learning_rate": 3e-05,
|
| 593 |
-
"loss":
|
| 594 |
"step": 6000
|
| 595 |
},
|
| 596 |
{
|
| 597 |
-
"epoch": 11.
|
| 598 |
-
"grad_norm": 13783190732800.0,
|
| 599 |
"learning_rate": 3e-05,
|
| 600 |
-
"loss":
|
| 601 |
"step": 6100
|
| 602 |
},
|
| 603 |
{
|
| 604 |
-
"epoch": 11.
|
| 605 |
-
"grad_norm": 3467661017088.0,
|
| 606 |
"learning_rate": 3e-05,
|
| 607 |
-
"loss":
|
| 608 |
"step": 6200
|
| 609 |
},
|
| 610 |
{
|
| 611 |
-
"epoch": 11.
|
| 612 |
-
"grad_norm": 333752.3125,
|
| 613 |
"learning_rate": 3e-05,
|
| 614 |
-
"loss":
|
| 615 |
"step": 6300
|
| 616 |
},
|
| 617 |
{
|
| 618 |
"epoch": 12.0,
|
| 619 |
-
"eval_accuracy": 0.
|
| 620 |
-
"eval_loss":
|
| 621 |
-
"eval_runtime":
|
| 622 |
-
"eval_samples_per_second":
|
| 623 |
-
"eval_steps_per_second":
|
| 624 |
"step": 6348
|
| 625 |
},
|
| 626 |
{
|
| 627 |
"epoch": 12.0,
|
| 628 |
-
"eval_exact_match":
|
| 629 |
-
"eval_f1":
|
| 630 |
"step": 6348
|
| 631 |
},
|
| 632 |
{
|
| 633 |
-
"epoch": 12.
|
| 634 |
-
"grad_norm": 6690696704.0,
|
| 635 |
"learning_rate": 3e-05,
|
| 636 |
-
"loss":
|
| 637 |
"step": 6400
|
| 638 |
},
|
| 639 |
{
|
| 640 |
-
"epoch": 12.
|
| 641 |
-
"grad_norm": 148906835968.0,
|
| 642 |
"learning_rate": 3e-05,
|
| 643 |
-
"loss":
|
| 644 |
"step": 6500
|
| 645 |
},
|
| 646 |
{
|
| 647 |
-
"epoch": 12.
|
| 648 |
-
"grad_norm": 15515338752.0,
|
| 649 |
"learning_rate": 3e-05,
|
| 650 |
-
"loss":
|
| 651 |
"step": 6600
|
| 652 |
},
|
| 653 |
{
|
| 654 |
-
"epoch": 12.
|
| 655 |
-
"grad_norm": 76318760960.0,
|
| 656 |
"learning_rate": 3e-05,
|
| 657 |
-
"loss":
|
| 658 |
"step": 6700
|
| 659 |
},
|
| 660 |
{
|
| 661 |
-
"epoch": 12.
|
| 662 |
-
"grad_norm": 85637283840.0,
|
| 663 |
"learning_rate": 3e-05,
|
| 664 |
-
"loss":
|
| 665 |
"step": 6800
|
| 666 |
},
|
| 667 |
{
|
| 668 |
"epoch": 13.0,
|
| 669 |
-
"eval_accuracy": 0.
|
| 670 |
-
"eval_loss":
|
| 671 |
-
"eval_runtime":
|
| 672 |
-
"eval_samples_per_second":
|
| 673 |
-
"eval_steps_per_second": 12.
|
| 674 |
"step": 6877
|
| 675 |
},
|
| 676 |
{
|
| 677 |
"epoch": 13.0,
|
| 678 |
-
"eval_exact_match":
|
| 679 |
-
"eval_f1":
|
| 680 |
"step": 6877
|
| 681 |
},
|
| 682 |
{
|
| 683 |
-
"epoch": 13.
|
| 684 |
-
"grad_norm": 370487552.0,
|
| 685 |
"learning_rate": 3e-05,
|
| 686 |
-
"loss":
|
| 687 |
"step": 6900
|
| 688 |
},
|
| 689 |
{
|
| 690 |
-
"epoch": 13.
|
| 691 |
-
"grad_norm": 243782.78125,
|
| 692 |
"learning_rate": 3e-05,
|
| 693 |
-
"loss":
|
| 694 |
"step": 7000
|
| 695 |
},
|
| 696 |
{
|
| 697 |
-
"epoch": 13.
|
| 698 |
-
"grad_norm": 572714688.0,
|
| 699 |
"learning_rate": 3e-05,
|
| 700 |
-
"loss":
|
| 701 |
"step": 7100
|
| 702 |
},
|
| 703 |
{
|
| 704 |
-
"epoch": 13.
|
| 705 |
-
"grad_norm": 807026112.0,
|
| 706 |
"learning_rate": 3e-05,
|
| 707 |
-
"loss":
|
| 708 |
"step": 7200
|
| 709 |
},
|
| 710 |
{
|
| 711 |
-
"epoch": 13.
|
| 712 |
-
"grad_norm": 401406112.0,
|
| 713 |
"learning_rate": 3e-05,
|
| 714 |
-
"loss":
|
| 715 |
"step": 7300
|
| 716 |
},
|
| 717 |
{
|
| 718 |
-
"epoch": 13.
|
| 719 |
-
"grad_norm": 20012445696.0,
|
| 720 |
"learning_rate": 3e-05,
|
| 721 |
-
"loss":
|
| 722 |
"step": 7400
|
| 723 |
},
|
| 724 |
{
|
| 725 |
"epoch": 14.0,
|
| 726 |
-
"eval_accuracy": 0.
|
| 727 |
-
"eval_loss":
|
| 728 |
-
"eval_runtime":
|
| 729 |
-
"eval_samples_per_second":
|
| 730 |
-
"eval_steps_per_second":
|
| 731 |
"step": 7406
|
| 732 |
},
|
| 733 |
{
|
| 734 |
"epoch": 14.0,
|
| 735 |
-
"eval_exact_match":
|
| 736 |
-
"eval_f1":
|
| 737 |
"step": 7406
|
| 738 |
},
|
| 739 |
{
|
| 740 |
-
"epoch": 14.
|
| 741 |
-
"grad_norm": 61066740.0,
|
| 742 |
"learning_rate": 3e-05,
|
| 743 |
-
"loss":
|
| 744 |
"step": 7500
|
| 745 |
},
|
| 746 |
{
|
| 747 |
-
"epoch": 14.
|
| 748 |
-
"grad_norm": 58445844.0,
|
| 749 |
"learning_rate": 3e-05,
|
| 750 |
-
"loss":
|
| 751 |
"step": 7600
|
| 752 |
},
|
| 753 |
{
|
| 754 |
-
"epoch": 14.
|
| 755 |
-
"grad_norm": 40712032.0,
|
| 756 |
"learning_rate": 3e-05,
|
| 757 |
-
"loss":
|
| 758 |
"step": 7700
|
| 759 |
},
|
| 760 |
{
|
| 761 |
-
"epoch": 14.
|
| 762 |
-
"grad_norm": 118321208.0,
|
| 763 |
"learning_rate": 3e-05,
|
| 764 |
-
"loss":
|
| 765 |
"step": 7800
|
| 766 |
},
|
| 767 |
{
|
| 768 |
-
"epoch": 14.
|
| 769 |
-
"grad_norm": 61603804.0,
|
| 770 |
"learning_rate": 3e-05,
|
| 771 |
-
"loss":
|
| 772 |
"step": 7900
|
| 773 |
},
|
| 774 |
{
|
| 775 |
"epoch": 15.0,
|
| 776 |
-
"eval_accuracy": 0.
|
| 777 |
-
"eval_loss":
|
| 778 |
-
"eval_runtime":
|
| 779 |
-
"eval_samples_per_second":
|
| 780 |
-
"eval_steps_per_second":
|
| 781 |
"step": 7935
|
| 782 |
},
|
| 783 |
{
|
| 784 |
"epoch": 15.0,
|
| 785 |
-
"eval_exact_match":
|
| 786 |
-
"eval_f1":
|
| 787 |
"step": 7935
|
| 788 |
},
|
| 789 |
{
|
| 790 |
-
"epoch": 15.
|
| 791 |
-
"grad_norm": 1755613568.0,
|
| 792 |
"learning_rate": 3e-05,
|
| 793 |
-
"loss":
|
| 794 |
"step": 8000
|
| 795 |
},
|
| 796 |
{
|
| 797 |
-
"epoch": 15.
|
| 798 |
-
"grad_norm": 1215193088.0,
|
| 799 |
"learning_rate": 3e-05,
|
| 800 |
-
"loss":
|
| 801 |
"step": 8100
|
| 802 |
},
|
| 803 |
{
|
| 804 |
-
"epoch": 15.
|
| 805 |
-
"grad_norm": 40452497408.0,
|
| 806 |
"learning_rate": 3e-05,
|
| 807 |
-
"loss":
|
| 808 |
"step": 8200
|
| 809 |
},
|
| 810 |
{
|
| 811 |
-
"epoch": 15.
|
| 812 |
-
"grad_norm": 10178840576.0,
|
| 813 |
"learning_rate": 3e-05,
|
| 814 |
-
"loss":
|
| 815 |
"step": 8300
|
| 816 |
},
|
| 817 |
{
|
| 818 |
-
"epoch": 15.
|
| 819 |
-
"grad_norm": 10069305344.0,
|
| 820 |
"learning_rate": 3e-05,
|
| 821 |
-
"loss":
|
| 822 |
"step": 8400
|
| 823 |
},
|
| 824 |
{
|
| 825 |
"epoch": 16.0,
|
| 826 |
-
"eval_accuracy": 0.
|
| 827 |
-
"eval_loss":
|
| 828 |
-
"eval_runtime":
|
| 829 |
-
"eval_samples_per_second":
|
| 830 |
-
"eval_steps_per_second":
|
| 831 |
"step": 8464
|
| 832 |
},
|
| 833 |
{
|
| 834 |
"epoch": 16.0,
|
| 835 |
-
"eval_exact_match":
|
| 836 |
-
"eval_f1":
|
| 837 |
"step": 8464
|
| 838 |
},
|
| 839 |
{
|
| 840 |
-
"epoch": 16.
|
| 841 |
-
"grad_norm": 9244783616.0,
|
| 842 |
"learning_rate": 3e-05,
|
| 843 |
-
"loss":
|
| 844 |
"step": 8500
|
| 845 |
},
|
| 846 |
{
|
| 847 |
-
"epoch": 16.
|
| 848 |
-
"grad_norm": 556177664.0,
|
| 849 |
"learning_rate": 3e-05,
|
| 850 |
-
"loss":
|
| 851 |
"step": 8600
|
| 852 |
},
|
| 853 |
{
|
| 854 |
-
"epoch": 16.
|
| 855 |
-
"grad_norm": 44021864.0,
|
| 856 |
"learning_rate": 3e-05,
|
| 857 |
-
"loss":
|
| 858 |
"step": 8700
|
| 859 |
},
|
| 860 |
{
|
| 861 |
-
"epoch": 16.
|
| 862 |
-
"grad_norm": 17835092.0,
|
| 863 |
"learning_rate": 3e-05,
|
| 864 |
-
"loss":
|
| 865 |
"step": 8800
|
| 866 |
},
|
| 867 |
{
|
| 868 |
-
"epoch": 16.
|
| 869 |
-
"grad_norm": 39907684.0,
|
| 870 |
"learning_rate": 3e-05,
|
| 871 |
-
"loss":
|
| 872 |
"step": 8900
|
| 873 |
},
|
| 874 |
{
|
| 875 |
"epoch": 17.0,
|
| 876 |
-
"eval_accuracy": 0.
|
| 877 |
-
"eval_loss":
|
| 878 |
-
"eval_runtime": 5.
|
| 879 |
-
"eval_samples_per_second":
|
| 880 |
-
"eval_steps_per_second": 12.
|
| 881 |
"step": 8993
|
| 882 |
},
|
| 883 |
{
|
| 884 |
"epoch": 17.0,
|
| 885 |
-
"eval_exact_match":
|
| 886 |
-
"eval_f1":
|
| 887 |
"step": 8993
|
| 888 |
},
|
| 889 |
{
|
| 890 |
-
"epoch": 17.
|
| 891 |
-
"grad_norm": 5489768.0,
|
| 892 |
"learning_rate": 3e-05,
|
| 893 |
-
"loss":
|
| 894 |
"step": 9000
|
| 895 |
},
|
| 896 |
{
|
| 897 |
-
"epoch": 17.
|
| 898 |
-
"grad_norm": 552121280.0,
|
| 899 |
"learning_rate": 3e-05,
|
| 900 |
-
"loss":
|
| 901 |
"step": 9100
|
| 902 |
},
|
| 903 |
{
|
| 904 |
-
"epoch": 17.
|
| 905 |
-
"grad_norm": 4284707.5,
|
| 906 |
"learning_rate": 3e-05,
|
| 907 |
-
"loss":
|
| 908 |
"step": 9200
|
| 909 |
},
|
| 910 |
{
|
| 911 |
-
"epoch": 17.
|
| 912 |
-
"grad_norm": 32860224.0,
|
| 913 |
"learning_rate": 3e-05,
|
| 914 |
-
"loss":
|
| 915 |
"step": 9300
|
| 916 |
},
|
| 917 |
{
|
| 918 |
-
"epoch": 17.
|
| 919 |
-
"grad_norm": 500232672.0,
|
| 920 |
"learning_rate": 3e-05,
|
| 921 |
-
"loss":
|
| 922 |
"step": 9400
|
| 923 |
},
|
| 924 |
{
|
| 925 |
-
"epoch": 17.
|
| 926 |
-
"grad_norm": 138954320.0,
|
| 927 |
"learning_rate": 3e-05,
|
| 928 |
-
"loss":
|
| 929 |
"step": 9500
|
| 930 |
},
|
| 931 |
{
|
| 932 |
"epoch": 18.0,
|
| 933 |
-
"eval_accuracy": 0.
|
| 934 |
-
"eval_loss":
|
| 935 |
-
"eval_runtime":
|
| 936 |
-
"eval_samples_per_second":
|
| 937 |
-
"eval_steps_per_second":
|
| 938 |
"step": 9522
|
| 939 |
},
|
| 940 |
{
|
| 941 |
"epoch": 18.0,
|
| 942 |
-
"eval_exact_match":
|
| 943 |
-
"eval_f1":
|
| 944 |
"step": 9522
|
| 945 |
},
|
| 946 |
{
|
| 947 |
-
"epoch": 18.
|
| 948 |
-
"grad_norm": 17529152.0,
|
| 949 |
"learning_rate": 3e-05,
|
| 950 |
-
"loss":
|
| 951 |
"step": 9600
|
| 952 |
},
|
| 953 |
{
|
| 954 |
-
"epoch": 18.
|
| 955 |
-
"grad_norm": 14452664.0,
|
| 956 |
"learning_rate": 3e-05,
|
| 957 |
-
"loss":
|
| 958 |
"step": 9700
|
| 959 |
},
|
| 960 |
{
|
| 961 |
-
"epoch": 18.
|
| 962 |
-
"grad_norm": 9175341.0,
|
| 963 |
"learning_rate": 3e-05,
|
| 964 |
-
"loss":
|
| 965 |
"step": 9800
|
| 966 |
},
|
| 967 |
{
|
| 968 |
-
"epoch": 18.
|
| 969 |
-
"grad_norm": 3109339.75,
|
| 970 |
"learning_rate": 3e-05,
|
| 971 |
-
"loss":
|
| 972 |
"step": 9900
|
| 973 |
},
|
| 974 |
{
|
| 975 |
-
"epoch": 18.
|
| 976 |
-
"grad_norm": 1141542.125,
|
| 977 |
"learning_rate": 3e-05,
|
| 978 |
-
"loss":
|
| 979 |
"step": 10000
|
| 980 |
},
|
| 981 |
{
|
| 982 |
"epoch": 19.0,
|
| 983 |
-
"eval_accuracy": 0.
|
| 984 |
-
"eval_loss":
|
| 985 |
-
"eval_runtime":
|
| 986 |
-
"eval_samples_per_second":
|
| 987 |
-
"eval_steps_per_second":
|
| 988 |
"step": 10051
|
| 989 |
},
|
| 990 |
{
|
| 991 |
"epoch": 19.0,
|
| 992 |
-
"eval_exact_match":
|
| 993 |
-
"eval_f1":
|
| 994 |
"step": 10051
|
| 995 |
},
|
| 996 |
{
|
| 997 |
-
"epoch": 19.
|
| 998 |
-
"grad_norm": 3051544.0,
|
| 999 |
"learning_rate": 3e-05,
|
| 1000 |
-
"loss":
|
| 1001 |
"step": 10100
|
| 1002 |
},
|
| 1003 |
{
|
| 1004 |
-
"epoch": 19.
|
| 1005 |
-
"grad_norm": 32653528.0,
|
| 1006 |
"learning_rate": 3e-05,
|
| 1007 |
-
"loss":
|
| 1008 |
"step": 10200
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
-
"epoch": 19.
|
| 1012 |
-
"grad_norm": 373167.34375,
|
| 1013 |
"learning_rate": 3e-05,
|
| 1014 |
-
"loss":
|
| 1015 |
"step": 10300
|
| 1016 |
},
|
| 1017 |
{
|
| 1018 |
-
"epoch": 19.
|
| 1019 |
-
"grad_norm": 761316507648.0,
|
| 1020 |
"learning_rate": 3e-05,
|
| 1021 |
-
"loss":
|
| 1022 |
"step": 10400
|
| 1023 |
},
|
| 1024 |
{
|
| 1025 |
-
"epoch": 19.
|
| 1026 |
-
"grad_norm": 15194965.0,
|
| 1027 |
"learning_rate": 3e-05,
|
| 1028 |
-
"loss":
|
| 1029 |
"step": 10500
|
| 1030 |
},
|
| 1031 |
{
|
| 1032 |
"epoch": 20.0,
|
| 1033 |
-
"eval_accuracy": 0.
|
| 1034 |
-
"eval_loss":
|
| 1035 |
-
"eval_runtime":
|
| 1036 |
-
"eval_samples_per_second":
|
| 1037 |
-
"eval_steps_per_second": 12.
|
| 1038 |
"step": 10580
|
| 1039 |
},
|
| 1040 |
{
|
| 1041 |
"epoch": 20.0,
|
| 1042 |
-
"eval_exact_match":
|
| 1043 |
-
"eval_f1":
|
| 1044 |
"step": 10580
|
| 1045 |
},
|
| 1046 |
{
|
| 1047 |
-
"epoch": 20.
|
| 1048 |
-
"grad_norm": 1443913.625,
|
| 1049 |
"learning_rate": 3e-05,
|
| 1050 |
-
"loss":
|
| 1051 |
"step": 10600
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
-
"epoch": 20.
|
| 1055 |
-
"grad_norm": 38678328.0,
|
| 1056 |
"learning_rate": 3e-05,
|
| 1057 |
-
"loss":
|
| 1058 |
"step": 10700
|
| 1059 |
},
|
| 1060 |
{
|
| 1061 |
-
"epoch": 20.
|
| 1062 |
-
"grad_norm": 235378832.0,
|
| 1063 |
"learning_rate": 3e-05,
|
| 1064 |
-
"loss":
|
| 1065 |
"step": 10800
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
-
"epoch": 20.
|
| 1069 |
-
"grad_norm": 7457460.5,
|
| 1070 |
"learning_rate": 3e-05,
|
| 1071 |
-
"loss":
|
| 1072 |
"step": 10900
|
| 1073 |
},
|
| 1074 |
{
|
| 1075 |
-
"epoch": 20.
|
| 1076 |
-
"grad_norm": 360401824.0,
|
| 1077 |
"learning_rate": 3e-05,
|
| 1078 |
-
"loss":
|
| 1079 |
"step": 11000
|
| 1080 |
},
|
| 1081 |
{
|
| 1082 |
-
"epoch": 20.
|
| 1083 |
-
"grad_norm": 5285015.0,
|
| 1084 |
"learning_rate": 3e-05,
|
| 1085 |
-
"loss":
|
| 1086 |
"step": 11100
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
"epoch": 21.0,
|
| 1090 |
-
"eval_accuracy": 0.
|
| 1091 |
-
"eval_loss":
|
| 1092 |
-
"eval_runtime":
|
| 1093 |
-
"eval_samples_per_second":
|
| 1094 |
-
"eval_steps_per_second":
|
| 1095 |
"step": 11109
|
| 1096 |
},
|
| 1097 |
{
|
| 1098 |
"epoch": 21.0,
|
| 1099 |
-
"eval_exact_match":
|
| 1100 |
-
"eval_f1":
|
| 1101 |
"step": 11109
|
| 1102 |
},
|
| 1103 |
{
|
| 1104 |
-
"epoch": 21.
|
| 1105 |
-
"grad_norm": 3120185999360.0,
|
| 1106 |
"learning_rate": 3e-05,
|
| 1107 |
-
"loss":
|
| 1108 |
"step": 11200
|
| 1109 |
},
|
| 1110 |
{
|
| 1111 |
-
"epoch": 21.
|
| 1112 |
-
"grad_norm": 459053662208.0,
|
| 1113 |
"learning_rate": 3e-05,
|
| 1114 |
-
"loss":
|
| 1115 |
"step": 11300
|
| 1116 |
},
|
| 1117 |
{
|
| 1118 |
-
"epoch": 21.
|
| 1119 |
-
"grad_norm": 33530312704.0,
|
| 1120 |
"learning_rate": 3e-05,
|
| 1121 |
-
"loss":
|
| 1122 |
"step": 11400
|
| 1123 |
},
|
| 1124 |
{
|
| 1125 |
-
"epoch": 21.
|
| 1126 |
-
"grad_norm": 524117879029760.0,
|
| 1127 |
"learning_rate": 3e-05,
|
| 1128 |
-
"loss":
|
| 1129 |
"step": 11500
|
| 1130 |
},
|
| 1131 |
{
|
| 1132 |
-
"epoch": 21.
|
| 1133 |
-
"grad_norm": 73415352385536.0,
|
| 1134 |
"learning_rate": 3e-05,
|
| 1135 |
-
"loss":
|
| 1136 |
"step": 11600
|
| 1137 |
},
|
| 1138 |
{
|
| 1139 |
"epoch": 22.0,
|
| 1140 |
-
"eval_accuracy": 0.
|
| 1141 |
-
"eval_loss":
|
| 1142 |
-
"eval_runtime":
|
| 1143 |
-
"eval_samples_per_second":
|
| 1144 |
-
"eval_steps_per_second":
|
| 1145 |
"step": 11638
|
| 1146 |
},
|
| 1147 |
{
|
| 1148 |
"epoch": 22.0,
|
| 1149 |
-
"eval_exact_match":
|
| 1150 |
-
"eval_f1":
|
| 1151 |
"step": 11638
|
| 1152 |
},
|
| 1153 |
{
|
| 1154 |
-
"epoch": 22.
|
| 1155 |
-
"grad_norm": 24663130374144.0,
|
| 1156 |
"learning_rate": 3e-05,
|
| 1157 |
-
"loss":
|
| 1158 |
"step": 11700
|
| 1159 |
},
|
| 1160 |
{
|
| 1161 |
-
"epoch": 22.
|
| 1162 |
-
"grad_norm": 1152798.75,
|
| 1163 |
"learning_rate": 3e-05,
|
| 1164 |
-
"loss":
|
| 1165 |
"step": 11800
|
| 1166 |
},
|
| 1167 |
{
|
| 1168 |
-
"epoch": 22.
|
| 1169 |
-
"grad_norm": 6407195.0,
|
| 1170 |
"learning_rate": 3e-05,
|
| 1171 |
-
"loss":
|
| 1172 |
"step": 11900
|
| 1173 |
},
|
| 1174 |
{
|
| 1175 |
-
"epoch": 22.
|
| 1176 |
-
"grad_norm": 3026044.75,
|
| 1177 |
"learning_rate": 3e-05,
|
| 1178 |
-
"loss":
|
| 1179 |
"step": 12000
|
| 1180 |
},
|
| 1181 |
{
|
| 1182 |
-
"epoch": 22.
|
| 1183 |
-
"grad_norm": 433589.25,
|
| 1184 |
"learning_rate": 3e-05,
|
| 1185 |
-
"loss":
|
| 1186 |
"step": 12100
|
| 1187 |
},
|
| 1188 |
{
|
| 1189 |
"epoch": 23.0,
|
| 1190 |
-
"eval_accuracy": 0.
|
| 1191 |
-
"eval_loss":
|
| 1192 |
-
"eval_runtime":
|
| 1193 |
-
"eval_samples_per_second":
|
| 1194 |
-
"eval_steps_per_second":
|
| 1195 |
"step": 12167
|
| 1196 |
},
|
| 1197 |
{
|
| 1198 |
"epoch": 23.0,
|
| 1199 |
-
"eval_exact_match":
|
| 1200 |
-
"eval_f1":
|
| 1201 |
"step": 12167
|
| 1202 |
},
|
| 1203 |
{
|
| 1204 |
-
"epoch": 23.
|
| 1205 |
-
"grad_norm": 221080977408.0,
|
| 1206 |
"learning_rate": 3e-05,
|
| 1207 |
-
"loss":
|
| 1208 |
"step": 12200
|
| 1209 |
},
|
| 1210 |
{
|
| 1211 |
-
"epoch": 23.
|
| 1212 |
-
"grad_norm": 819255836672.0,
|
| 1213 |
"learning_rate": 3e-05,
|
| 1214 |
-
"loss":
|
| 1215 |
"step": 12300
|
| 1216 |
},
|
| 1217 |
{
|
| 1218 |
-
"epoch": 23.
|
| 1219 |
-
"grad_norm": 1077065216.0,
|
| 1220 |
"learning_rate": 3e-05,
|
| 1221 |
-
"loss":
|
| 1222 |
"step": 12400
|
| 1223 |
},
|
| 1224 |
{
|
| 1225 |
-
"epoch": 23.
|
| 1226 |
-
"grad_norm": 147283214336.0,
|
| 1227 |
"learning_rate": 3e-05,
|
| 1228 |
-
"loss":
|
| 1229 |
"step": 12500
|
| 1230 |
},
|
| 1231 |
{
|
| 1232 |
-
"epoch": 23.
|
| 1233 |
-
"grad_norm": 479103936.0,
|
| 1234 |
"learning_rate": 3e-05,
|
| 1235 |
-
"loss":
|
| 1236 |
"step": 12600
|
| 1237 |
},
|
| 1238 |
{
|
| 1239 |
"epoch": 24.0,
|
| 1240 |
-
"eval_accuracy": 0.
|
| 1241 |
-
"eval_loss":
|
| 1242 |
-
"eval_runtime":
|
| 1243 |
-
"eval_samples_per_second":
|
| 1244 |
-
"eval_steps_per_second":
|
| 1245 |
"step": 12696
|
| 1246 |
},
|
| 1247 |
{
|
| 1248 |
"epoch": 24.0,
|
| 1249 |
-
"eval_exact_match":
|
| 1250 |
-
"eval_f1":
|
| 1251 |
"step": 12696
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
-
"epoch": 24.
|
| 1255 |
-
"grad_norm": 18736.490234375,
|
| 1256 |
"learning_rate": 3e-05,
|
| 1257 |
-
"loss":
|
| 1258 |
"step": 12700
|
| 1259 |
},
|
| 1260 |
{
|
| 1261 |
-
"epoch": 24.
|
| 1262 |
-
"grad_norm": 10122.208984375,
|
| 1263 |
"learning_rate": 3e-05,
|
| 1264 |
-
"loss":
|
| 1265 |
"step": 12800
|
| 1266 |
},
|
| 1267 |
{
|
| 1268 |
-
"epoch": 24.
|
| 1269 |
-
"grad_norm": 884941.875,
|
| 1270 |
"learning_rate": 3e-05,
|
| 1271 |
-
"loss":
|
| 1272 |
"step": 12900
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
-
"epoch": 24.
|
| 1276 |
-
"grad_norm": 51996.421875,
|
| 1277 |
"learning_rate": 3e-05,
|
| 1278 |
-
"loss":
|
| 1279 |
"step": 13000
|
| 1280 |
},
|
| 1281 |
{
|
| 1282 |
-
"epoch": 24.
|
| 1283 |
-
"grad_norm": 11833.41796875,
|
| 1284 |
"learning_rate": 3e-05,
|
| 1285 |
-
"loss":
|
| 1286 |
"step": 13100
|
| 1287 |
},
|
| 1288 |
{
|
| 1289 |
-
"epoch": 24.
|
| 1290 |
-
"grad_norm": 645689536.0,
|
| 1291 |
"learning_rate": 3e-05,
|
| 1292 |
-
"loss":
|
| 1293 |
"step": 13200
|
| 1294 |
},
|
| 1295 |
{
|
| 1296 |
"epoch": 25.0,
|
| 1297 |
-
"eval_accuracy": 0.
|
| 1298 |
-
"eval_loss":
|
| 1299 |
-
"eval_runtime":
|
| 1300 |
-
"eval_samples_per_second":
|
| 1301 |
-
"eval_steps_per_second":
|
| 1302 |
"step": 13225
|
| 1303 |
},
|
| 1304 |
{
|
| 1305 |
"epoch": 25.0,
|
| 1306 |
-
"eval_exact_match":
|
| 1307 |
-
"eval_f1":
|
| 1308 |
"step": 13225
|
| 1309 |
},
|
| 1310 |
{
|
| 1311 |
-
"epoch": 25.
|
| 1312 |
-
"grad_norm": 33455.7734375,
|
| 1313 |
"learning_rate": 3e-05,
|
| 1314 |
-
"loss":
|
| 1315 |
"step": 13300
|
| 1316 |
},
|
| 1317 |
{
|
| 1318 |
-
"epoch": 25.
|
| 1319 |
-
"grad_norm": 665939.625,
|
| 1320 |
"learning_rate": 3e-05,
|
| 1321 |
-
"loss":
|
| 1322 |
"step": 13400
|
| 1323 |
},
|
| 1324 |
{
|
| 1325 |
-
"epoch": 25.
|
| 1326 |
-
"grad_norm": 366503.25,
|
| 1327 |
"learning_rate": 3e-05,
|
| 1328 |
-
"loss":
|
| 1329 |
"step": 13500
|
| 1330 |
},
|
| 1331 |
{
|
| 1332 |
-
"epoch": 25.
|
| 1333 |
-
"grad_norm": 1146194755584.0,
|
| 1334 |
"learning_rate": 3e-05,
|
| 1335 |
-
"loss":
|
| 1336 |
"step": 13600
|
| 1337 |
},
|
| 1338 |
{
|
| 1339 |
-
"epoch": 25.
|
| 1340 |
-
"grad_norm": 5115191230464.0,
|
| 1341 |
"learning_rate": 3e-05,
|
| 1342 |
-
"loss":
|
| 1343 |
"step": 13700
|
| 1344 |
},
|
| 1345 |
{
|
| 1346 |
"epoch": 26.0,
|
| 1347 |
-
"eval_accuracy": 0.
|
| 1348 |
-
"eval_loss":
|
| 1349 |
-
"eval_runtime":
|
| 1350 |
-
"eval_samples_per_second":
|
| 1351 |
-
"eval_steps_per_second": 12.
|
| 1352 |
"step": 13754
|
| 1353 |
},
|
| 1354 |
{
|
| 1355 |
"epoch": 26.0,
|
| 1356 |
-
"eval_exact_match": 0.
|
| 1357 |
-
"eval_f1":
|
| 1358 |
"step": 13754
|
| 1359 |
},
|
| 1360 |
{
|
| 1361 |
-
"epoch": 26.
|
| 1362 |
-
"grad_norm": 119.87647247314453,
|
| 1363 |
"learning_rate": 3e-05,
|
| 1364 |
-
"loss":
|
| 1365 |
"step": 13800
|
| 1366 |
},
|
| 1367 |
{
|
| 1368 |
-
"epoch": 26.
|
| 1369 |
-
"grad_norm": 5832.49462890625,
|
| 1370 |
"learning_rate": 3e-05,
|
| 1371 |
-
"loss":
|
| 1372 |
"step": 13900
|
| 1373 |
},
|
| 1374 |
{
|
| 1375 |
-
"epoch": 26.
|
| 1376 |
-
"grad_norm": 7308.30908203125,
|
| 1377 |
"learning_rate": 3e-05,
|
| 1378 |
-
"loss":
|
| 1379 |
"step": 14000
|
| 1380 |
},
|
| 1381 |
{
|
| 1382 |
-
"epoch": 26.
|
| 1383 |
-
"grad_norm": 21071.32421875,
|
| 1384 |
"learning_rate": 3e-05,
|
| 1385 |
-
"loss":
|
| 1386 |
"step": 14100
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
-
"epoch": 26.
|
| 1390 |
-
"grad_norm": 69589.0625,
|
| 1391 |
"learning_rate": 3e-05,
|
| 1392 |
-
"loss":
|
| 1393 |
"step": 14200
|
| 1394 |
},
|
| 1395 |
{
|
| 1396 |
"epoch": 27.0,
|
| 1397 |
-
"eval_accuracy": 0.
|
| 1398 |
-
"eval_loss":
|
| 1399 |
-
"eval_runtime":
|
| 1400 |
-
"eval_samples_per_second":
|
| 1401 |
-
"eval_steps_per_second":
|
| 1402 |
"step": 14283
|
| 1403 |
},
|
| 1404 |
{
|
| 1405 |
"epoch": 27.0,
|
| 1406 |
-
"eval_exact_match": 0.
|
| 1407 |
-
"eval_f1":
|
| 1408 |
"step": 14283
|
| 1409 |
},
|
| 1410 |
{
|
| 1411 |
-
"epoch": 27.
|
| 1412 |
-
"grad_norm": 158736.625,
|
| 1413 |
"learning_rate": 3e-05,
|
| 1414 |
-
"loss":
|
| 1415 |
"step": 14300
|
| 1416 |
},
|
| 1417 |
{
|
| 1418 |
-
"epoch": 27.
|
| 1419 |
-
"grad_norm": 12491.8095703125,
|
| 1420 |
"learning_rate": 3e-05,
|
| 1421 |
-
"loss":
|
| 1422 |
"step": 14400
|
| 1423 |
},
|
| 1424 |
{
|
| 1425 |
-
"epoch": 27.
|
| 1426 |
-
"grad_norm": 123181.3671875,
|
| 1427 |
"learning_rate": 3e-05,
|
| 1428 |
-
"loss":
|
| 1429 |
"step": 14500
|
| 1430 |
},
|
| 1431 |
{
|
| 1432 |
-
"epoch": 27.
|
| 1433 |
-
"grad_norm": 620153.5,
|
| 1434 |
"learning_rate": 3e-05,
|
| 1435 |
-
"loss":
|
| 1436 |
"step": 14600
|
| 1437 |
},
|
| 1438 |
{
|
| 1439 |
-
"epoch": 27.
|
| 1440 |
-
"grad_norm": 337683.1875,
|
| 1441 |
"learning_rate": 3e-05,
|
| 1442 |
-
"loss":
|
| 1443 |
"step": 14700
|
| 1444 |
},
|
| 1445 |
{
|
| 1446 |
-
"epoch": 27.
|
| 1447 |
-
"grad_norm": 5629.42431640625,
|
| 1448 |
"learning_rate": 3e-05,
|
| 1449 |
-
"loss":
|
| 1450 |
"step": 14800
|
| 1451 |
},
|
| 1452 |
{
|
| 1453 |
"epoch": 28.0,
|
| 1454 |
-
"eval_accuracy": 0.
|
| 1455 |
-
"eval_loss":
|
| 1456 |
-
"eval_runtime":
|
| 1457 |
-
"eval_samples_per_second":
|
| 1458 |
-
"eval_steps_per_second":
|
| 1459 |
"step": 14812
|
| 1460 |
},
|
| 1461 |
{
|
| 1462 |
"epoch": 28.0,
|
| 1463 |
-
"eval_exact_match": 0.
|
| 1464 |
-
"eval_f1":
|
| 1465 |
"step": 14812
|
| 1466 |
},
|
| 1467 |
{
|
| 1468 |
-
"epoch": 28.
|
| 1469 |
-
"grad_norm": 779905.0625,
|
| 1470 |
"learning_rate": 3e-05,
|
| 1471 |
-
"loss":
|
| 1472 |
"step": 14900
|
| 1473 |
},
|
| 1474 |
{
|
| 1475 |
-
"epoch": 28.
|
| 1476 |
-
"grad_norm": 92020.96875,
|
| 1477 |
"learning_rate": 3e-05,
|
| 1478 |
-
"loss":
|
| 1479 |
"step": 15000
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
-
"epoch": 28.
|
| 1483 |
-
"grad_norm": 1754453.125,
|
| 1484 |
"learning_rate": 3e-05,
|
| 1485 |
-
"loss":
|
| 1486 |
"step": 15100
|
| 1487 |
},
|
| 1488 |
{
|
| 1489 |
-
"epoch": 28.
|
| 1490 |
-
"grad_norm": 9245.0390625,
|
| 1491 |
"learning_rate": 3e-05,
|
| 1492 |
-
"loss":
|
| 1493 |
"step": 15200
|
| 1494 |
},
|
| 1495 |
{
|
| 1496 |
-
"epoch": 28.
|
| 1497 |
-
"grad_norm": 57860676.0,
|
| 1498 |
"learning_rate": 3e-05,
|
| 1499 |
-
"loss":
|
| 1500 |
"step": 15300
|
| 1501 |
},
|
| 1502 |
{
|
| 1503 |
"epoch": 29.0,
|
| 1504 |
-
"eval_accuracy": 0.
|
| 1505 |
-
"eval_loss":
|
| 1506 |
-
"eval_runtime":
|
| 1507 |
-
"eval_samples_per_second":
|
| 1508 |
-
"eval_steps_per_second":
|
| 1509 |
"step": 15341
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
"epoch": 29.0,
|
| 1513 |
"eval_exact_match": 0.0,
|
| 1514 |
-
"eval_f1": 0.
|
| 1515 |
"step": 15341
|
| 1516 |
},
|
| 1517 |
{
|
| 1518 |
-
"epoch": 29.
|
| 1519 |
-
"grad_norm": 95621760.0,
|
| 1520 |
"learning_rate": 3e-05,
|
| 1521 |
-
"loss":
|
| 1522 |
"step": 15400
|
| 1523 |
},
|
| 1524 |
{
|
| 1525 |
-
"epoch": 29.
|
| 1526 |
-
"grad_norm": 68808096.0,
|
| 1527 |
"learning_rate": 3e-05,
|
| 1528 |
-
"loss":
|
| 1529 |
"step": 15500
|
| 1530 |
},
|
| 1531 |
{
|
| 1532 |
-
"epoch": 29.
|
| 1533 |
-
"grad_norm": 394869760.0,
|
| 1534 |
"learning_rate": 3e-05,
|
| 1535 |
-
"loss":
|
| 1536 |
"step": 15600
|
| 1537 |
},
|
| 1538 |
{
|
| 1539 |
-
"epoch": 29.
|
| 1540 |
-
"grad_norm": 295963264.0,
|
| 1541 |
"learning_rate": 3e-05,
|
| 1542 |
-
"loss":
|
| 1543 |
"step": 15700
|
| 1544 |
},
|
| 1545 |
{
|
| 1546 |
-
"epoch": 29.
|
| 1547 |
-
"grad_norm": 471883200.0,
|
| 1548 |
"learning_rate": 3e-05,
|
| 1549 |
-
"loss":
|
| 1550 |
"step": 15800
|
| 1551 |
},
|
| 1552 |
{
|
| 1553 |
"epoch": 30.0,
|
| 1554 |
-
"eval_accuracy": 0.
|
| 1555 |
-
"eval_loss":
|
| 1556 |
-
"eval_runtime":
|
| 1557 |
-
"eval_samples_per_second":
|
| 1558 |
-
"eval_steps_per_second":
|
| 1559 |
"step": 15870
|
| 1560 |
},
|
| 1561 |
{
|
| 1562 |
"epoch": 30.0,
|
| 1563 |
"eval_exact_match": 0.0,
|
| 1564 |
-
"eval_f1": 0.
|
| 1565 |
"step": 15870
|
| 1566 |
},
|
| 1567 |
{
|
| 1568 |
-
"epoch": 30.
|
| 1569 |
-
"grad_norm": 1943886.25,
|
| 1570 |
"learning_rate": 3e-05,
|
| 1571 |
-
"loss":
|
| 1572 |
"step": 15900
|
| 1573 |
},
|
| 1574 |
{
|
| 1575 |
-
"epoch": 30.
|
| 1576 |
-
"grad_norm": 252297.234375,
|
| 1577 |
"learning_rate": 3e-05,
|
| 1578 |
-
"loss":
|
| 1579 |
"step": 16000
|
| 1580 |
},
|
| 1581 |
{
|
| 1582 |
-
"epoch": 30.
|
| 1583 |
-
"grad_norm": 20118.697265625,
|
| 1584 |
"learning_rate": 3e-05,
|
| 1585 |
-
"loss":
|
| 1586 |
"step": 16100
|
| 1587 |
},
|
| 1588 |
{
|
| 1589 |
-
"epoch": 30.
|
| 1590 |
-
"grad_norm": 30278450.0,
|
| 1591 |
"learning_rate": 3e-05,
|
| 1592 |
-
"loss":
|
| 1593 |
"step": 16200
|
| 1594 |
},
|
| 1595 |
{
|
| 1596 |
-
"epoch": 30.
|
| 1597 |
-
"grad_norm": 491771.5,
|
| 1598 |
"learning_rate": 3e-05,
|
| 1599 |
-
"loss":
|
| 1600 |
"step": 16300
|
| 1601 |
},
|
| 1602 |
{
|
| 1603 |
"epoch": 31.0,
|
| 1604 |
-
"eval_accuracy": 0.
|
| 1605 |
-
"eval_loss":
|
| 1606 |
-
"eval_runtime":
|
| 1607 |
-
"eval_samples_per_second":
|
| 1608 |
-
"eval_steps_per_second":
|
| 1609 |
"step": 16399
|
| 1610 |
},
|
| 1611 |
{
|
| 1612 |
"epoch": 31.0,
|
| 1613 |
"eval_exact_match": 0.0,
|
| 1614 |
-
"eval_f1": 0.
|
| 1615 |
"step": 16399
|
| 1616 |
},
|
| 1617 |
{
|
| 1618 |
-
"epoch": 31.
|
| 1619 |
-
"grad_norm": 67330.3125,
|
| 1620 |
"learning_rate": 3e-05,
|
| 1621 |
-
"loss":
|
| 1622 |
"step": 16400
|
| 1623 |
},
|
| 1624 |
{
|
| 1625 |
-
"epoch": 31.
|
| 1626 |
-
"grad_norm": 437164.03125,
|
| 1627 |
"learning_rate": 3e-05,
|
| 1628 |
-
"loss":
|
| 1629 |
"step": 16500
|
| 1630 |
},
|
| 1631 |
{
|
| 1632 |
-
"epoch": 31.
|
| 1633 |
-
"grad_norm": 383445.78125,
|
| 1634 |
"learning_rate": 3e-05,
|
| 1635 |
-
"loss":
|
| 1636 |
"step": 16600
|
| 1637 |
},
|
| 1638 |
{
|
| 1639 |
-
"epoch": 31.
|
| 1640 |
-
"grad_norm": 26452162510848.0,
|
| 1641 |
"learning_rate": 3e-05,
|
| 1642 |
-
"loss":
|
| 1643 |
"step": 16700
|
| 1644 |
},
|
| 1645 |
{
|
| 1646 |
-
"epoch": 31.
|
| 1647 |
-
"grad_norm": 1477470060544.0,
|
| 1648 |
"learning_rate": 3e-05,
|
| 1649 |
-
"loss":
|
| 1650 |
"step": 16800
|
| 1651 |
},
|
| 1652 |
{
|
| 1653 |
-
"epoch": 31.
|
| 1654 |
-
"grad_norm": 3547858688.0,
|
| 1655 |
"learning_rate": 3e-05,
|
| 1656 |
-
"loss":
|
| 1657 |
"step": 16900
|
| 1658 |
},
|
| 1659 |
{
|
| 1660 |
"epoch": 32.0,
|
| 1661 |
-
"eval_accuracy": 0.
|
| 1662 |
-
"eval_loss":
|
| 1663 |
-
"eval_runtime":
|
| 1664 |
-
"eval_samples_per_second":
|
| 1665 |
-
"eval_steps_per_second":
|
| 1666 |
"step": 16928
|
| 1667 |
},
|
| 1668 |
{
|
|
@@ -1672,47 +1503,42 @@
|
|
| 1672 |
"step": 16928
|
| 1673 |
},
|
| 1674 |
{
|
| 1675 |
-
"epoch": 32.
|
| 1676 |
-
"grad_norm": 25736851226624.0,
|
| 1677 |
"learning_rate": 3e-05,
|
| 1678 |
-
"loss":
|
| 1679 |
"step": 17000
|
| 1680 |
},
|
| 1681 |
{
|
| 1682 |
-
"epoch": 32.
|
| 1683 |
-
"grad_norm": 83071770624.0,
|
| 1684 |
"learning_rate": 3e-05,
|
| 1685 |
-
"loss":
|
| 1686 |
"step": 17100
|
| 1687 |
},
|
| 1688 |
{
|
| 1689 |
-
"epoch": 32.
|
| 1690 |
-
"grad_norm": 362845667328.0,
|
| 1691 |
"learning_rate": 3e-05,
|
| 1692 |
-
"loss":
|
| 1693 |
"step": 17200
|
| 1694 |
},
|
| 1695 |
{
|
| 1696 |
-
"epoch": 32.
|
| 1697 |
-
"grad_norm": 6446509981696.0,
|
| 1698 |
"learning_rate": 3e-05,
|
| 1699 |
-
"loss":
|
| 1700 |
"step": 17300
|
| 1701 |
},
|
| 1702 |
{
|
| 1703 |
-
"epoch": 32.
|
| 1704 |
-
"grad_norm": 8676001710080.0,
|
| 1705 |
"learning_rate": 3e-05,
|
| 1706 |
-
"loss":
|
| 1707 |
"step": 17400
|
| 1708 |
},
|
| 1709 |
{
|
| 1710 |
"epoch": 33.0,
|
| 1711 |
-
"eval_accuracy": 0.
|
| 1712 |
-
"eval_loss":
|
| 1713 |
-
"eval_runtime":
|
| 1714 |
-
"eval_samples_per_second":
|
| 1715 |
-
"eval_steps_per_second":
|
| 1716 |
"step": 17457
|
| 1717 |
},
|
| 1718 |
{
|
|
@@ -1722,104 +1548,93 @@
|
|
| 1722 |
"step": 17457
|
| 1723 |
},
|
| 1724 |
{
|
| 1725 |
-
"epoch": 33.
|
| 1726 |
-
"grad_norm": 2477152272384.0,
|
| 1727 |
"learning_rate": 3e-05,
|
| 1728 |
-
"loss":
|
| 1729 |
"step": 17500
|
| 1730 |
},
|
| 1731 |
{
|
| 1732 |
-
"epoch": 33.
|
| 1733 |
-
"grad_norm": 1226347118592.0,
|
| 1734 |
"learning_rate": 3e-05,
|
| 1735 |
-
"loss":
|
| 1736 |
"step": 17600
|
| 1737 |
},
|
| 1738 |
{
|
| 1739 |
-
"epoch": 33.
|
| 1740 |
-
"grad_norm": 6838296248320.0,
|
| 1741 |
"learning_rate": 3e-05,
|
| 1742 |
-
"loss":
|
| 1743 |
"step": 17700
|
| 1744 |
},
|
| 1745 |
{
|
| 1746 |
-
"epoch": 33.
|
| 1747 |
-
"grad_norm": 1059247161344.0,
|
| 1748 |
"learning_rate": 3e-05,
|
| 1749 |
-
"loss":
|
| 1750 |
"step": 17800
|
| 1751 |
},
|
| 1752 |
{
|
| 1753 |
-
"epoch": 33.
|
| 1754 |
-
"grad_norm": 783651008.0,
|
| 1755 |
"learning_rate": 3e-05,
|
| 1756 |
-
"loss":
|
| 1757 |
"step": 17900
|
| 1758 |
},
|
| 1759 |
{
|
| 1760 |
"epoch": 34.0,
|
| 1761 |
-
"eval_accuracy": 0.
|
| 1762 |
-
"eval_loss":
|
| 1763 |
-
"eval_runtime":
|
| 1764 |
-
"eval_samples_per_second":
|
| 1765 |
-
"eval_steps_per_second": 12.
|
| 1766 |
"step": 17986
|
| 1767 |
},
|
| 1768 |
{
|
| 1769 |
"epoch": 34.0,
|
| 1770 |
"eval_exact_match": 0.0,
|
| 1771 |
-
"eval_f1": 0.
|
| 1772 |
"step": 17986
|
| 1773 |
},
|
| 1774 |
{
|
| 1775 |
-
"epoch": 34.
|
| 1776 |
-
"grad_norm": 950630948536320.0,
|
| 1777 |
"learning_rate": 3e-05,
|
| 1778 |
-
"loss":
|
| 1779 |
"step": 18000
|
| 1780 |
},
|
| 1781 |
{
|
| 1782 |
-
"epoch": 34.
|
| 1783 |
-
"grad_norm": 450093280.0,
|
| 1784 |
"learning_rate": 3e-05,
|
| 1785 |
-
"loss":
|
| 1786 |
"step": 18100
|
| 1787 |
},
|
| 1788 |
{
|
| 1789 |
-
"epoch": 34.
|
| 1790 |
-
"grad_norm": 87242632.0,
|
| 1791 |
"learning_rate": 3e-05,
|
| 1792 |
-
"loss":
|
| 1793 |
"step": 18200
|
| 1794 |
},
|
| 1795 |
{
|
| 1796 |
-
"epoch": 34.
|
| 1797 |
-
"grad_norm": 57701945344.0,
|
| 1798 |
"learning_rate": 3e-05,
|
| 1799 |
-
"loss":
|
| 1800 |
"step": 18300
|
| 1801 |
},
|
| 1802 |
{
|
| 1803 |
-
"epoch": 34.
|
| 1804 |
-
"grad_norm": 1806314112.0,
|
| 1805 |
"learning_rate": 3e-05,
|
| 1806 |
-
"loss":
|
| 1807 |
"step": 18400
|
| 1808 |
},
|
| 1809 |
{
|
| 1810 |
-
"epoch": 34.
|
| 1811 |
-
"grad_norm": 2088303.0,
|
| 1812 |
"learning_rate": 3e-05,
|
| 1813 |
-
"loss":
|
| 1814 |
"step": 18500
|
| 1815 |
},
|
| 1816 |
{
|
| 1817 |
"epoch": 35.0,
|
| 1818 |
-
"eval_accuracy": 0.
|
| 1819 |
-
"eval_loss":
|
| 1820 |
-
"eval_runtime":
|
| 1821 |
-
"eval_samples_per_second":
|
| 1822 |
-
"eval_steps_per_second":
|
| 1823 |
"step": 18515
|
| 1824 |
},
|
| 1825 |
{
|
|
@@ -1829,47 +1644,42 @@
|
|
| 1829 |
"step": 18515
|
| 1830 |
},
|
| 1831 |
{
|
| 1832 |
-
"epoch": 35.
|
| 1833 |
-
"grad_norm": 993076051968.0,
|
| 1834 |
"learning_rate": 3e-05,
|
| 1835 |
-
"loss":
|
| 1836 |
"step": 18600
|
| 1837 |
},
|
| 1838 |
{
|
| 1839 |
-
"epoch": 35.
|
| 1840 |
-
"grad_norm": 126950965248.0,
|
| 1841 |
"learning_rate": 3e-05,
|
| 1842 |
-
"loss":
|
| 1843 |
"step": 18700
|
| 1844 |
},
|
| 1845 |
{
|
| 1846 |
-
"epoch": 35.
|
| 1847 |
-
"grad_norm": 816930160640.0,
|
| 1848 |
"learning_rate": 3e-05,
|
| 1849 |
-
"loss":
|
| 1850 |
"step": 18800
|
| 1851 |
},
|
| 1852 |
{
|
| 1853 |
-
"epoch": 35.
|
| 1854 |
-
"grad_norm": 80379322368.0,
|
| 1855 |
"learning_rate": 3e-05,
|
| 1856 |
-
"loss":
|
| 1857 |
"step": 18900
|
| 1858 |
},
|
| 1859 |
{
|
| 1860 |
-
"epoch": 35.
|
| 1861 |
-
"grad_norm": 34520543232.0,
|
| 1862 |
"learning_rate": 3e-05,
|
| 1863 |
-
"loss":
|
| 1864 |
"step": 19000
|
| 1865 |
},
|
| 1866 |
{
|
| 1867 |
"epoch": 36.0,
|
| 1868 |
-
"eval_accuracy": 0.
|
| 1869 |
-
"eval_loss":
|
| 1870 |
-
"eval_runtime":
|
| 1871 |
-
"eval_samples_per_second":
|
| 1872 |
-
"eval_steps_per_second":
|
| 1873 |
"step": 19044
|
| 1874 |
},
|
| 1875 |
{
|
|
@@ -1879,75 +1689,56 @@
|
|
| 1879 |
"step": 19044
|
| 1880 |
},
|
| 1881 |
{
|
| 1882 |
-
"epoch": 36.
|
| 1883 |
-
"grad_norm": 1875878400.0,
|
| 1884 |
"learning_rate": 3e-05,
|
| 1885 |
-
"loss":
|
| 1886 |
"step": 19100
|
| 1887 |
},
|
| 1888 |
{
|
| 1889 |
-
"epoch": 36.
|
| 1890 |
-
"grad_norm": 2460117368832.0,
|
| 1891 |
"learning_rate": 3e-05,
|
| 1892 |
-
"loss":
|
| 1893 |
"step": 19200
|
| 1894 |
},
|
| 1895 |
{
|
| 1896 |
-
"epoch": 36.
|
| 1897 |
-
"grad_norm": 1223807336448.0,
|
| 1898 |
"learning_rate": 3e-05,
|
| 1899 |
-
"loss":
|
| 1900 |
"step": 19300
|
| 1901 |
},
|
| 1902 |
{
|
| 1903 |
-
"epoch": 36.
|
| 1904 |
-
"grad_norm": 116063576064.0,
|
| 1905 |
"learning_rate": 3e-05,
|
| 1906 |
-
"loss":
|
| 1907 |
"step": 19400
|
| 1908 |
},
|
| 1909 |
{
|
| 1910 |
-
"epoch": 36.
|
| 1911 |
-
"grad_norm": 19499100160.0,
|
| 1912 |
"learning_rate": 3e-05,
|
| 1913 |
-
"loss":
|
| 1914 |
"step": 19500
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
"epoch": 37.0,
|
| 1918 |
-
"eval_accuracy": 0.
|
| 1919 |
-
"eval_loss":
|
| 1920 |
-
"eval_runtime":
|
| 1921 |
-
"eval_samples_per_second":
|
| 1922 |
-
"eval_steps_per_second":
|
| 1923 |
"step": 19573
|
| 1924 |
},
|
| 1925 |
{
|
| 1926 |
"epoch": 37.0,
|
| 1927 |
"eval_exact_match": 0.0,
|
| 1928 |
-
"eval_f1": 0.
|
| 1929 |
"step": 19573
|
| 1930 |
}
|
| 1931 |
],
|
| 1932 |
"logging_steps": 100,
|
| 1933 |
"max_steps": 26450,
|
| 1934 |
-
"num_input_tokens_seen": 0,
|
| 1935 |
"num_train_epochs": 50,
|
| 1936 |
"save_steps": 500,
|
| 1937 |
-
"
|
| 1938 |
-
"TrainerControl": {
|
| 1939 |
-
"args": {
|
| 1940 |
-
"should_epoch_stop": false,
|
| 1941 |
-
"should_evaluate": false,
|
| 1942 |
-
"should_log": false,
|
| 1943 |
-
"should_save": true,
|
| 1944 |
-
"should_training_stop": false
|
| 1945 |
-
},
|
| 1946 |
-
"attributes": {}
|
| 1947 |
-
}
|
| 1948 |
-
},
|
| 1949 |
-
"total_flos": 1.5927922886380093e+18,
|
| 1950 |
-
"train_batch_size": 2,
|
| 1951 |
"trial_name": null,
|
| 1952 |
"trial_params": null
|
| 1953 |
}
|
|
|
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.19,
|
|
|
|
| 13 |
"learning_rate": 3e-05,
|
| 14 |
+
"loss": 1.7194,
|
| 15 |
"step": 100
|
| 16 |
},
|
| 17 |
{
|
| 18 |
+
"epoch": 0.38,
|
|
|
|
| 19 |
"learning_rate": 3e-05,
|
| 20 |
+
"loss": 1.4369,
|
| 21 |
"step": 200
|
| 22 |
},
|
| 23 |
{
|
| 24 |
+
"epoch": 0.57,
|
|
|
|
| 25 |
"learning_rate": 3e-05,
|
| 26 |
+
"loss": 1.4257,
|
| 27 |
"step": 300
|
| 28 |
},
|
| 29 |
{
|
| 30 |
+
"epoch": 0.76,
|
|
|
|
| 31 |
"learning_rate": 3e-05,
|
| 32 |
+
"loss": 1.3947,
|
| 33 |
"step": 400
|
| 34 |
},
|
| 35 |
{
|
| 36 |
+
"epoch": 0.95,
|
|
|
|
| 37 |
"learning_rate": 3e-05,
|
| 38 |
+
"loss": 1.3948,
|
| 39 |
"step": 500
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 1.0,
|
| 43 |
+
"eval_accuracy": 0.6132307692307692,
|
| 44 |
+
"eval_loss": 1.3087366819381714,
|
| 45 |
+
"eval_runtime": 4.3553,
|
| 46 |
+
"eval_samples_per_second": 114.803,
|
| 47 |
+
"eval_steps_per_second": 14.465,
|
| 48 |
"step": 529
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 1.0,
|
| 52 |
+
"eval_exact_match": 24.4,
|
| 53 |
+
"eval_f1": 37.614420394420414,
|
| 54 |
"step": 529
|
| 55 |
},
|
| 56 |
{
|
| 57 |
+
"epoch": 1.13,
|
|
|
|
| 58 |
"learning_rate": 3e-05,
|
| 59 |
+
"loss": 1.3927,
|
| 60 |
"step": 600
|
| 61 |
},
|
| 62 |
{
|
| 63 |
+
"epoch": 1.32,
|
|
|
|
| 64 |
"learning_rate": 3e-05,
|
| 65 |
+
"loss": 1.3644,
|
| 66 |
"step": 700
|
| 67 |
},
|
| 68 |
{
|
| 69 |
+
"epoch": 1.51,
|
|
|
|
| 70 |
"learning_rate": 3e-05,
|
| 71 |
+
"loss": 1.3791,
|
| 72 |
"step": 800
|
| 73 |
},
|
| 74 |
{
|
| 75 |
+
"epoch": 1.7,
|
|
|
|
| 76 |
"learning_rate": 3e-05,
|
| 77 |
+
"loss": 1.3627,
|
| 78 |
"step": 900
|
| 79 |
},
|
| 80 |
{
|
| 81 |
+
"epoch": 1.89,
|
|
|
|
| 82 |
"learning_rate": 3e-05,
|
| 83 |
+
"loss": 1.3789,
|
| 84 |
"step": 1000
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 2.0,
|
| 88 |
+
"eval_accuracy": 0.6146153846153846,
|
| 89 |
+
"eval_loss": 1.289727807044983,
|
| 90 |
+
"eval_runtime": 4.4281,
|
| 91 |
+
"eval_samples_per_second": 112.915,
|
| 92 |
+
"eval_steps_per_second": 14.227,
|
| 93 |
"step": 1058
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 2.0,
|
| 97 |
+
"eval_exact_match": 23.2,
|
| 98 |
+
"eval_f1": 35.56775335775336,
|
| 99 |
"step": 1058
|
| 100 |
},
|
| 101 |
{
|
| 102 |
+
"epoch": 2.08,
|
|
|
|
| 103 |
"learning_rate": 3e-05,
|
| 104 |
+
"loss": 1.3605,
|
| 105 |
"step": 1100
|
| 106 |
},
|
| 107 |
{
|
| 108 |
+
"epoch": 2.27,
|
|
|
|
| 109 |
"learning_rate": 3e-05,
|
| 110 |
+
"loss": 1.3306,
|
| 111 |
"step": 1200
|
| 112 |
},
|
| 113 |
{
|
| 114 |
+
"epoch": 2.46,
|
|
|
|
| 115 |
"learning_rate": 3e-05,
|
| 116 |
+
"loss": 1.3318,
|
| 117 |
"step": 1300
|
| 118 |
},
|
| 119 |
{
|
| 120 |
+
"epoch": 2.65,
|
|
|
|
| 121 |
"learning_rate": 3e-05,
|
| 122 |
+
"loss": 1.3491,
|
| 123 |
"step": 1400
|
| 124 |
},
|
| 125 |
{
|
| 126 |
+
"epoch": 2.84,
|
|
|
|
| 127 |
"learning_rate": 3e-05,
|
| 128 |
+
"loss": 1.3259,
|
| 129 |
"step": 1500
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 3.0,
|
| 133 |
+
"eval_accuracy": 0.6178974358974358,
|
| 134 |
+
"eval_loss": 1.2849316596984863,
|
| 135 |
+
"eval_runtime": 4.875,
|
| 136 |
+
"eval_samples_per_second": 102.565,
|
| 137 |
+
"eval_steps_per_second": 12.923,
|
| 138 |
"step": 1587
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 3.0,
|
| 142 |
+
"eval_exact_match": 25.2,
|
| 143 |
+
"eval_f1": 37.32698412698414,
|
| 144 |
"step": 1587
|
| 145 |
},
|
| 146 |
{
|
| 147 |
+
"epoch": 3.02,
|
|
|
|
| 148 |
"learning_rate": 3e-05,
|
| 149 |
+
"loss": 1.3255,
|
| 150 |
"step": 1600
|
| 151 |
},
|
| 152 |
{
|
| 153 |
+
"epoch": 3.21,
|
|
|
|
| 154 |
"learning_rate": 3e-05,
|
| 155 |
+
"loss": 1.28,
|
| 156 |
"step": 1700
|
| 157 |
},
|
| 158 |
{
|
| 159 |
+
"epoch": 3.4,
|
|
|
|
| 160 |
"learning_rate": 3e-05,
|
| 161 |
+
"loss": 1.2995,
|
| 162 |
"step": 1800
|
| 163 |
},
|
| 164 |
{
|
| 165 |
+
"epoch": 3.59,
|
|
|
|
| 166 |
"learning_rate": 3e-05,
|
| 167 |
+
"loss": 1.2991,
|
| 168 |
"step": 1900
|
| 169 |
},
|
| 170 |
{
|
| 171 |
+
"epoch": 3.78,
|
|
|
|
| 172 |
"learning_rate": 3e-05,
|
| 173 |
+
"loss": 1.3024,
|
| 174 |
"step": 2000
|
| 175 |
},
|
| 176 |
{
|
| 177 |
+
"epoch": 3.97,
|
|
|
|
| 178 |
"learning_rate": 3e-05,
|
| 179 |
+
"loss": 1.2853,
|
| 180 |
"step": 2100
|
| 181 |
},
|
| 182 |
{
|
| 183 |
"epoch": 4.0,
|
| 184 |
+
"eval_accuracy": 0.615948717948718,
|
| 185 |
+
"eval_loss": 1.316924810409546,
|
| 186 |
+
"eval_runtime": 5.3385,
|
| 187 |
+
"eval_samples_per_second": 93.659,
|
| 188 |
+
"eval_steps_per_second": 11.801,
|
| 189 |
"step": 2116
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 4.0,
|
| 193 |
+
"eval_exact_match": 23.8,
|
| 194 |
+
"eval_f1": 36.284920634920645,
|
| 195 |
"step": 2116
|
| 196 |
},
|
| 197 |
{
|
| 198 |
+
"epoch": 4.16,
|
|
|
|
| 199 |
"learning_rate": 3e-05,
|
| 200 |
+
"loss": 1.2575,
|
| 201 |
"step": 2200
|
| 202 |
},
|
| 203 |
{
|
| 204 |
+
"epoch": 4.35,
|
|
|
|
| 205 |
"learning_rate": 3e-05,
|
| 206 |
+
"loss": 1.2261,
|
| 207 |
"step": 2300
|
| 208 |
},
|
| 209 |
{
|
| 210 |
+
"epoch": 4.54,
|
|
|
|
| 211 |
"learning_rate": 3e-05,
|
| 212 |
+
"loss": 1.2536,
|
| 213 |
"step": 2400
|
| 214 |
},
|
| 215 |
{
|
| 216 |
+
"epoch": 4.73,
|
|
|
|
| 217 |
"learning_rate": 3e-05,
|
| 218 |
+
"loss": 1.2376,
|
| 219 |
"step": 2500
|
| 220 |
},
|
| 221 |
{
|
| 222 |
+
"epoch": 4.91,
|
|
|
|
| 223 |
"learning_rate": 3e-05,
|
| 224 |
+
"loss": 1.2556,
|
| 225 |
"step": 2600
|
| 226 |
},
|
| 227 |
{
|
| 228 |
"epoch": 5.0,
|
| 229 |
+
"eval_accuracy": 0.6131794871794872,
|
| 230 |
+
"eval_loss": 1.3531945943832397,
|
| 231 |
+
"eval_runtime": 4.4382,
|
| 232 |
+
"eval_samples_per_second": 112.659,
|
| 233 |
+
"eval_steps_per_second": 14.195,
|
| 234 |
"step": 2645
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 5.0,
|
| 238 |
+
"eval_exact_match": 25.8,
|
| 239 |
+
"eval_f1": 37.67571428571429,
|
| 240 |
"step": 2645
|
| 241 |
},
|
| 242 |
{
|
| 243 |
+
"epoch": 5.1,
|
|
|
|
| 244 |
"learning_rate": 3e-05,
|
| 245 |
+
"loss": 1.2195,
|
| 246 |
"step": 2700
|
| 247 |
},
|
| 248 |
{
|
| 249 |
+
"epoch": 5.29,
|
|
|
|
| 250 |
"learning_rate": 3e-05,
|
| 251 |
+
"loss": 1.2003,
|
| 252 |
"step": 2800
|
| 253 |
},
|
| 254 |
{
|
| 255 |
+
"epoch": 5.48,
|
|
|
|
| 256 |
"learning_rate": 3e-05,
|
| 257 |
+
"loss": 1.1864,
|
| 258 |
"step": 2900
|
| 259 |
},
|
| 260 |
{
|
| 261 |
+
"epoch": 5.67,
|
|
|
|
| 262 |
"learning_rate": 3e-05,
|
| 263 |
+
"loss": 1.2231,
|
| 264 |
"step": 3000
|
| 265 |
},
|
| 266 |
{
|
| 267 |
+
"epoch": 5.86,
|
|
|
|
| 268 |
"learning_rate": 3e-05,
|
| 269 |
+
"loss": 1.1972,
|
| 270 |
"step": 3100
|
| 271 |
},
|
| 272 |
{
|
| 273 |
"epoch": 6.0,
|
| 274 |
+
"eval_accuracy": 0.6125641025641025,
|
| 275 |
+
"eval_loss": 1.4135066270828247,
|
| 276 |
+
"eval_runtime": 5.0312,
|
| 277 |
+
"eval_samples_per_second": 99.38,
|
| 278 |
+
"eval_steps_per_second": 12.522,
|
| 279 |
"step": 3174
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 6.0,
|
| 283 |
+
"eval_exact_match": 24.0,
|
| 284 |
+
"eval_f1": 36.140952380952385,
|
| 285 |
"step": 3174
|
| 286 |
},
|
| 287 |
{
|
| 288 |
+
"epoch": 6.05,
|
|
|
|
| 289 |
"learning_rate": 3e-05,
|
| 290 |
+
"loss": 1.1889,
|
| 291 |
"step": 3200
|
| 292 |
},
|
| 293 |
{
|
| 294 |
+
"epoch": 6.24,
|
|
|
|
| 295 |
"learning_rate": 3e-05,
|
| 296 |
+
"loss": 1.1471,
|
| 297 |
"step": 3300
|
| 298 |
},
|
| 299 |
{
|
| 300 |
+
"epoch": 6.43,
|
|
|
|
| 301 |
"learning_rate": 3e-05,
|
| 302 |
+
"loss": 1.1509,
|
| 303 |
"step": 3400
|
| 304 |
},
|
| 305 |
{
|
| 306 |
+
"epoch": 6.62,
|
|
|
|
| 307 |
"learning_rate": 3e-05,
|
| 308 |
+
"loss": 1.1654,
|
| 309 |
"step": 3500
|
| 310 |
},
|
| 311 |
{
|
| 312 |
+
"epoch": 6.81,
|
|
|
|
| 313 |
"learning_rate": 3e-05,
|
| 314 |
+
"loss": 1.1716,
|
| 315 |
"step": 3600
|
| 316 |
},
|
| 317 |
{
|
| 318 |
+
"epoch": 6.99,
|
|
|
|
| 319 |
"learning_rate": 3e-05,
|
| 320 |
+
"loss": 1.1839,
|
| 321 |
"step": 3700
|
| 322 |
},
|
| 323 |
{
|
| 324 |
"epoch": 7.0,
|
| 325 |
+
"eval_accuracy": 0.6081025641025641,
|
| 326 |
+
"eval_loss": 1.500714898109436,
|
| 327 |
+
"eval_runtime": 4.4677,
|
| 328 |
+
"eval_samples_per_second": 111.916,
|
| 329 |
+
"eval_steps_per_second": 14.101,
|
| 330 |
"step": 3703
|
| 331 |
},
|
| 332 |
{
|
| 333 |
"epoch": 7.0,
|
| 334 |
+
"eval_exact_match": 22.8,
|
| 335 |
+
"eval_f1": 33.44777777777779,
|
| 336 |
"step": 3703
|
| 337 |
},
|
| 338 |
{
|
| 339 |
+
"epoch": 7.18,
|
|
|
|
| 340 |
"learning_rate": 3e-05,
|
| 341 |
+
"loss": 1.1059,
|
| 342 |
"step": 3800
|
| 343 |
},
|
| 344 |
{
|
| 345 |
+
"epoch": 7.37,
|
|
|
|
| 346 |
"learning_rate": 3e-05,
|
| 347 |
+
"loss": 1.1146,
|
| 348 |
"step": 3900
|
| 349 |
},
|
| 350 |
{
|
| 351 |
+
"epoch": 7.56,
|
|
|
|
| 352 |
"learning_rate": 3e-05,
|
| 353 |
+
"loss": 1.1121,
|
| 354 |
"step": 4000
|
| 355 |
},
|
| 356 |
{
|
| 357 |
+
"epoch": 7.75,
|
|
|
|
| 358 |
"learning_rate": 3e-05,
|
| 359 |
+
"loss": 1.1286,
|
| 360 |
"step": 4100
|
| 361 |
},
|
| 362 |
{
|
| 363 |
+
"epoch": 7.94,
|
|
|
|
| 364 |
"learning_rate": 3e-05,
|
| 365 |
+
"loss": 1.1334,
|
| 366 |
"step": 4200
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 8.0,
|
| 370 |
+
"eval_accuracy": 0.6074358974358974,
|
| 371 |
+
"eval_loss": 1.524243950843811,
|
| 372 |
+
"eval_runtime": 4.2161,
|
| 373 |
+
"eval_samples_per_second": 118.592,
|
| 374 |
+
"eval_steps_per_second": 14.943,
|
| 375 |
"step": 4232
|
| 376 |
},
|
| 377 |
{
|
| 378 |
"epoch": 8.0,
|
| 379 |
+
"eval_exact_match": 23.2,
|
| 380 |
+
"eval_f1": 34.507792207792214,
|
| 381 |
"step": 4232
|
| 382 |
},
|
| 383 |
{
|
| 384 |
+
"epoch": 8.13,
|
|
|
|
| 385 |
"learning_rate": 3e-05,
|
| 386 |
+
"loss": 1.1072,
|
| 387 |
"step": 4300
|
| 388 |
},
|
| 389 |
{
|
| 390 |
+
"epoch": 8.32,
|
|
|
|
| 391 |
"learning_rate": 3e-05,
|
| 392 |
+
"loss": 1.0626,
|
| 393 |
"step": 4400
|
| 394 |
},
|
| 395 |
{
|
| 396 |
+
"epoch": 8.51,
|
|
|
|
| 397 |
"learning_rate": 3e-05,
|
| 398 |
+
"loss": 1.0842,
|
| 399 |
"step": 4500
|
| 400 |
},
|
| 401 |
{
|
| 402 |
+
"epoch": 8.7,
|
|
|
|
| 403 |
"learning_rate": 3e-05,
|
| 404 |
+
"loss": 1.0812,
|
| 405 |
"step": 4600
|
| 406 |
},
|
| 407 |
{
|
| 408 |
+
"epoch": 8.88,
|
|
|
|
| 409 |
"learning_rate": 3e-05,
|
| 410 |
+
"loss": 1.0966,
|
| 411 |
"step": 4700
|
| 412 |
},
|
| 413 |
{
|
| 414 |
"epoch": 9.0,
|
| 415 |
+
"eval_accuracy": 0.5802564102564103,
|
| 416 |
+
"eval_loss": 1.6106736660003662,
|
| 417 |
+
"eval_runtime": 4.2194,
|
| 418 |
+
"eval_samples_per_second": 118.5,
|
| 419 |
+
"eval_steps_per_second": 14.931,
|
| 420 |
"step": 4761
|
| 421 |
},
|
| 422 |
{
|
| 423 |
"epoch": 9.0,
|
| 424 |
+
"eval_exact_match": 22.8,
|
| 425 |
+
"eval_f1": 34.45666666666666,
|
| 426 |
"step": 4761
|
| 427 |
},
|
| 428 |
{
|
| 429 |
+
"epoch": 9.07,
|
|
|
|
| 430 |
"learning_rate": 3e-05,
|
| 431 |
+
"loss": 1.0755,
|
| 432 |
"step": 4800
|
| 433 |
},
|
| 434 |
{
|
| 435 |
+
"epoch": 9.26,
|
|
|
|
| 436 |
"learning_rate": 3e-05,
|
| 437 |
+
"loss": 1.0189,
|
| 438 |
"step": 4900
|
| 439 |
},
|
| 440 |
{
|
| 441 |
+
"epoch": 9.45,
|
|
|
|
| 442 |
"learning_rate": 3e-05,
|
| 443 |
+
"loss": 1.0565,
|
| 444 |
"step": 5000
|
| 445 |
},
|
| 446 |
{
|
| 447 |
+
"epoch": 9.64,
|
|
|
|
| 448 |
"learning_rate": 3e-05,
|
| 449 |
+
"loss": 1.0635,
|
| 450 |
"step": 5100
|
| 451 |
},
|
| 452 |
{
|
| 453 |
+
"epoch": 9.83,
|
|
|
|
| 454 |
"learning_rate": 3e-05,
|
| 455 |
+
"loss": 1.0485,
|
| 456 |
"step": 5200
|
| 457 |
},
|
| 458 |
{
|
| 459 |
"epoch": 10.0,
|
| 460 |
+
"eval_accuracy": 0.6049230769230769,
|
| 461 |
+
"eval_loss": 1.6749216318130493,
|
| 462 |
+
"eval_runtime": 4.8521,
|
| 463 |
+
"eval_samples_per_second": 103.048,
|
| 464 |
+
"eval_steps_per_second": 12.984,
|
| 465 |
"step": 5290
|
| 466 |
},
|
| 467 |
{
|
| 468 |
"epoch": 10.0,
|
| 469 |
+
"eval_exact_match": 22.8,
|
| 470 |
+
"eval_f1": 34.3535064935065,
|
| 471 |
"step": 5290
|
| 472 |
},
|
| 473 |
{
|
| 474 |
+
"epoch": 10.02,
|
|
|
|
| 475 |
"learning_rate": 3e-05,
|
| 476 |
+
"loss": 1.0585,
|
| 477 |
"step": 5300
|
| 478 |
},
|
| 479 |
{
|
| 480 |
+
"epoch": 10.21,
|
|
|
|
| 481 |
"learning_rate": 3e-05,
|
| 482 |
+
"loss": 1.0098,
|
| 483 |
"step": 5400
|
| 484 |
},
|
| 485 |
{
|
| 486 |
+
"epoch": 10.4,
|
|
|
|
| 487 |
"learning_rate": 3e-05,
|
| 488 |
+
"loss": 0.9935,
|
| 489 |
"step": 5500
|
| 490 |
},
|
| 491 |
{
|
| 492 |
+
"epoch": 10.59,
|
|
|
|
| 493 |
"learning_rate": 3e-05,
|
| 494 |
+
"loss": 1.0178,
|
| 495 |
"step": 5600
|
| 496 |
},
|
| 497 |
{
|
| 498 |
+
"epoch": 10.78,
|
|
|
|
| 499 |
"learning_rate": 3e-05,
|
| 500 |
+
"loss": 1.0217,
|
| 501 |
"step": 5700
|
| 502 |
},
|
| 503 |
{
|
| 504 |
+
"epoch": 10.96,
|
|
|
|
| 505 |
"learning_rate": 3e-05,
|
| 506 |
+
"loss": 1.021,
|
| 507 |
"step": 5800
|
| 508 |
},
|
| 509 |
{
|
| 510 |
"epoch": 11.0,
|
| 511 |
+
"eval_accuracy": 0.6014871794871794,
|
| 512 |
+
"eval_loss": 1.7323671579360962,
|
| 513 |
+
"eval_runtime": 4.4139,
|
| 514 |
+
"eval_samples_per_second": 113.28,
|
| 515 |
+
"eval_steps_per_second": 14.273,
|
| 516 |
"step": 5819
|
| 517 |
},
|
| 518 |
{
|
| 519 |
"epoch": 11.0,
|
| 520 |
+
"eval_exact_match": 22.4,
|
| 521 |
+
"eval_f1": 34.060490620490626,
|
| 522 |
"step": 5819
|
| 523 |
},
|
| 524 |
{
|
| 525 |
+
"epoch": 11.15,
|
|
|
|
| 526 |
"learning_rate": 3e-05,
|
| 527 |
+
"loss": 0.9788,
|
| 528 |
"step": 5900
|
| 529 |
},
|
| 530 |
{
|
| 531 |
+
"epoch": 11.34,
|
|
|
|
| 532 |
"learning_rate": 3e-05,
|
| 533 |
+
"loss": 0.9799,
|
| 534 |
"step": 6000
|
| 535 |
},
|
| 536 |
{
|
| 537 |
+
"epoch": 11.53,
|
|
|
|
| 538 |
"learning_rate": 3e-05,
|
| 539 |
+
"loss": 0.9749,
|
| 540 |
"step": 6100
|
| 541 |
},
|
| 542 |
{
|
| 543 |
+
"epoch": 11.72,
|
|
|
|
| 544 |
"learning_rate": 3e-05,
|
| 545 |
+
"loss": 0.981,
|
| 546 |
"step": 6200
|
| 547 |
},
|
| 548 |
{
|
| 549 |
+
"epoch": 11.91,
|
|
|
|
| 550 |
"learning_rate": 3e-05,
|
| 551 |
+
"loss": 0.9918,
|
| 552 |
"step": 6300
|
| 553 |
},
|
| 554 |
{
|
| 555 |
"epoch": 12.0,
|
| 556 |
+
"eval_accuracy": 0.6007179487179487,
|
| 557 |
+
"eval_loss": 1.7632156610488892,
|
| 558 |
+
"eval_runtime": 4.4251,
|
| 559 |
+
"eval_samples_per_second": 112.992,
|
| 560 |
+
"eval_steps_per_second": 14.237,
|
| 561 |
"step": 6348
|
| 562 |
},
|
| 563 |
{
|
| 564 |
"epoch": 12.0,
|
| 565 |
+
"eval_exact_match": 22.4,
|
| 566 |
+
"eval_f1": 33.017142857142865,
|
| 567 |
"step": 6348
|
| 568 |
},
|
| 569 |
{
|
| 570 |
+
"epoch": 12.1,
|
|
|
|
| 571 |
"learning_rate": 3e-05,
|
| 572 |
+
"loss": 0.967,
|
| 573 |
"step": 6400
|
| 574 |
},
|
| 575 |
{
|
| 576 |
+
"epoch": 12.29,
|
|
|
|
| 577 |
"learning_rate": 3e-05,
|
| 578 |
+
"loss": 0.9341,
|
| 579 |
"step": 6500
|
| 580 |
},
|
| 581 |
{
|
| 582 |
+
"epoch": 12.48,
|
|
|
|
| 583 |
"learning_rate": 3e-05,
|
| 584 |
+
"loss": 0.9656,
|
| 585 |
"step": 6600
|
| 586 |
},
|
| 587 |
{
|
| 588 |
+
"epoch": 12.67,
|
|
|
|
| 589 |
"learning_rate": 3e-05,
|
| 590 |
+
"loss": 0.9519,
|
| 591 |
"step": 6700
|
| 592 |
},
|
| 593 |
{
|
| 594 |
+
"epoch": 12.85,
|
|
|
|
| 595 |
"learning_rate": 3e-05,
|
| 596 |
+
"loss": 0.947,
|
| 597 |
"step": 6800
|
| 598 |
},
|
| 599 |
{
|
| 600 |
"epoch": 13.0,
|
| 601 |
+
"eval_accuracy": 0.6010769230769231,
|
| 602 |
+
"eval_loss": 1.8302537202835083,
|
| 603 |
+
"eval_runtime": 4.849,
|
| 604 |
+
"eval_samples_per_second": 103.115,
|
| 605 |
+
"eval_steps_per_second": 12.992,
|
| 606 |
"step": 6877
|
| 607 |
},
|
| 608 |
{
|
| 609 |
"epoch": 13.0,
|
| 610 |
+
"eval_exact_match": 21.6,
|
| 611 |
+
"eval_f1": 32.89746031746034,
|
| 612 |
"step": 6877
|
| 613 |
},
|
| 614 |
{
|
| 615 |
+
"epoch": 13.04,
|
|
|
|
| 616 |
"learning_rate": 3e-05,
|
| 617 |
+
"loss": 0.9461,
|
| 618 |
"step": 6900
|
| 619 |
},
|
| 620 |
{
|
| 621 |
+
"epoch": 13.23,
|
|
|
|
| 622 |
"learning_rate": 3e-05,
|
| 623 |
+
"loss": 0.9153,
|
| 624 |
"step": 7000
|
| 625 |
},
|
| 626 |
{
|
| 627 |
+
"epoch": 13.42,
|
|
|
|
| 628 |
"learning_rate": 3e-05,
|
| 629 |
+
"loss": 0.9166,
|
| 630 |
"step": 7100
|
| 631 |
},
|
| 632 |
{
|
| 633 |
+
"epoch": 13.61,
|
|
|
|
| 634 |
"learning_rate": 3e-05,
|
| 635 |
+
"loss": 0.9266,
|
| 636 |
"step": 7200
|
| 637 |
},
|
| 638 |
{
|
| 639 |
+
"epoch": 13.8,
|
|
|
|
| 640 |
"learning_rate": 3e-05,
|
| 641 |
+
"loss": 0.9089,
|
| 642 |
"step": 7300
|
| 643 |
},
|
| 644 |
{
|
| 645 |
+
"epoch": 13.99,
|
|
|
|
| 646 |
"learning_rate": 3e-05,
|
| 647 |
+
"loss": 0.9376,
|
| 648 |
"step": 7400
|
| 649 |
},
|
| 650 |
{
|
| 651 |
"epoch": 14.0,
|
| 652 |
+
"eval_accuracy": 0.5990769230769231,
|
| 653 |
+
"eval_loss": 1.8872731924057007,
|
| 654 |
+
"eval_runtime": 4.1087,
|
| 655 |
+
"eval_samples_per_second": 121.694,
|
| 656 |
+
"eval_steps_per_second": 15.333,
|
| 657 |
"step": 7406
|
| 658 |
},
|
| 659 |
{
|
| 660 |
"epoch": 14.0,
|
| 661 |
+
"eval_exact_match": 20.8,
|
| 662 |
+
"eval_f1": 32.45952380952382,
|
| 663 |
"step": 7406
|
| 664 |
},
|
| 665 |
{
|
| 666 |
+
"epoch": 14.18,
|
|
|
|
| 667 |
"learning_rate": 3e-05,
|
| 668 |
+
"loss": 0.8792,
|
| 669 |
"step": 7500
|
| 670 |
},
|
| 671 |
{
|
| 672 |
+
"epoch": 14.37,
|
|
|
|
| 673 |
"learning_rate": 3e-05,
|
| 674 |
+
"loss": 0.8787,
|
| 675 |
"step": 7600
|
| 676 |
},
|
| 677 |
{
|
| 678 |
+
"epoch": 14.56,
|
|
|
|
| 679 |
"learning_rate": 3e-05,
|
| 680 |
+
"loss": 0.874,
|
| 681 |
"step": 7700
|
| 682 |
},
|
| 683 |
{
|
| 684 |
+
"epoch": 14.74,
|
|
|
|
| 685 |
"learning_rate": 3e-05,
|
| 686 |
+
"loss": 0.9123,
|
| 687 |
"step": 7800
|
| 688 |
},
|
| 689 |
{
|
| 690 |
+
"epoch": 14.93,
|
|
|
|
| 691 |
"learning_rate": 3e-05,
|
| 692 |
+
"loss": 0.898,
|
| 693 |
"step": 7900
|
| 694 |
},
|
| 695 |
{
|
| 696 |
"epoch": 15.0,
|
| 697 |
+
"eval_accuracy": 0.5975897435897436,
|
| 698 |
+
"eval_loss": 1.96884024143219,
|
| 699 |
+
"eval_runtime": 4.5009,
|
| 700 |
+
"eval_samples_per_second": 111.09,
|
| 701 |
+
"eval_steps_per_second": 13.997,
|
| 702 |
"step": 7935
|
| 703 |
},
|
| 704 |
{
|
| 705 |
"epoch": 15.0,
|
| 706 |
+
"eval_exact_match": 20.6,
|
| 707 |
+
"eval_f1": 31.090952380952388,
|
| 708 |
"step": 7935
|
| 709 |
},
|
| 710 |
{
|
| 711 |
+
"epoch": 15.12,
|
|
|
|
| 712 |
"learning_rate": 3e-05,
|
| 713 |
+
"loss": 0.8631,
|
| 714 |
"step": 8000
|
| 715 |
},
|
| 716 |
{
|
| 717 |
+
"epoch": 15.31,
|
|
|
|
| 718 |
"learning_rate": 3e-05,
|
| 719 |
+
"loss": 0.8353,
|
| 720 |
"step": 8100
|
| 721 |
},
|
| 722 |
{
|
| 723 |
+
"epoch": 15.5,
|
|
|
|
| 724 |
"learning_rate": 3e-05,
|
| 725 |
+
"loss": 0.8673,
|
| 726 |
"step": 8200
|
| 727 |
},
|
| 728 |
{
|
| 729 |
+
"epoch": 15.69,
|
|
|
|
| 730 |
"learning_rate": 3e-05,
|
| 731 |
+
"loss": 0.8515,
|
| 732 |
"step": 8300
|
| 733 |
},
|
| 734 |
{
|
| 735 |
+
"epoch": 15.88,
|
|
|
|
| 736 |
"learning_rate": 3e-05,
|
| 737 |
+
"loss": 0.8559,
|
| 738 |
"step": 8400
|
| 739 |
},
|
| 740 |
{
|
| 741 |
"epoch": 16.0,
|
| 742 |
+
"eval_accuracy": 0.5987692307692307,
|
| 743 |
+
"eval_loss": 1.9724328517913818,
|
| 744 |
+
"eval_runtime": 4.5341,
|
| 745 |
+
"eval_samples_per_second": 110.275,
|
| 746 |
+
"eval_steps_per_second": 13.895,
|
| 747 |
"step": 8464
|
| 748 |
},
|
| 749 |
{
|
| 750 |
"epoch": 16.0,
|
| 751 |
+
"eval_exact_match": 21.4,
|
| 752 |
+
"eval_f1": 32.21255411255413,
|
| 753 |
"step": 8464
|
| 754 |
},
|
| 755 |
{
|
| 756 |
+
"epoch": 16.07,
|
|
|
|
| 757 |
"learning_rate": 3e-05,
|
| 758 |
+
"loss": 0.8508,
|
| 759 |
"step": 8500
|
| 760 |
},
|
| 761 |
{
|
| 762 |
+
"epoch": 16.26,
|
|
|
|
| 763 |
"learning_rate": 3e-05,
|
| 764 |
+
"loss": 0.8122,
|
| 765 |
"step": 8600
|
| 766 |
},
|
| 767 |
{
|
| 768 |
+
"epoch": 16.45,
|
|
|
|
| 769 |
"learning_rate": 3e-05,
|
| 770 |
+
"loss": 0.8223,
|
| 771 |
"step": 8700
|
| 772 |
},
|
| 773 |
{
|
| 774 |
+
"epoch": 16.64,
|
|
|
|
| 775 |
"learning_rate": 3e-05,
|
| 776 |
+
"loss": 0.8275,
|
| 777 |
"step": 8800
|
| 778 |
},
|
| 779 |
{
|
| 780 |
+
"epoch": 16.82,
|
|
|
|
| 781 |
"learning_rate": 3e-05,
|
| 782 |
+
"loss": 0.8348,
|
| 783 |
"step": 8900
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"epoch": 17.0,
|
| 787 |
+
"eval_accuracy": 0.5713846153846154,
|
| 788 |
+
"eval_loss": 1.9815243482589722,
|
| 789 |
+
"eval_runtime": 5.0655,
|
| 790 |
+
"eval_samples_per_second": 98.706,
|
| 791 |
+
"eval_steps_per_second": 12.437,
|
| 792 |
"step": 8993
|
| 793 |
},
|
| 794 |
{
|
| 795 |
"epoch": 17.0,
|
| 796 |
+
"eval_exact_match": 20.0,
|
| 797 |
+
"eval_f1": 30.670173160173174,
|
| 798 |
"step": 8993
|
| 799 |
},
|
| 800 |
{
|
| 801 |
+
"epoch": 17.01,
|
|
|
|
| 802 |
"learning_rate": 3e-05,
|
| 803 |
+
"loss": 0.837,
|
| 804 |
"step": 9000
|
| 805 |
},
|
| 806 |
{
|
| 807 |
+
"epoch": 17.2,
|
|
|
|
| 808 |
"learning_rate": 3e-05,
|
| 809 |
+
"loss": 0.7764,
|
| 810 |
"step": 9100
|
| 811 |
},
|
| 812 |
{
|
| 813 |
+
"epoch": 17.39,
|
|
|
|
| 814 |
"learning_rate": 3e-05,
|
| 815 |
+
"loss": 0.7817,
|
| 816 |
"step": 9200
|
| 817 |
},
|
| 818 |
{
|
| 819 |
+
"epoch": 17.58,
|
|
|
|
| 820 |
"learning_rate": 3e-05,
|
| 821 |
+
"loss": 0.8068,
|
| 822 |
"step": 9300
|
| 823 |
},
|
| 824 |
{
|
| 825 |
+
"epoch": 17.77,
|
|
|
|
| 826 |
"learning_rate": 3e-05,
|
| 827 |
+
"loss": 0.7968,
|
| 828 |
"step": 9400
|
| 829 |
},
|
| 830 |
{
|
| 831 |
+
"epoch": 17.96,
|
|
|
|
| 832 |
"learning_rate": 3e-05,
|
| 833 |
+
"loss": 0.8106,
|
| 834 |
"step": 9500
|
| 835 |
},
|
| 836 |
{
|
| 837 |
"epoch": 18.0,
|
| 838 |
+
"eval_accuracy": 0.598,
|
| 839 |
+
"eval_loss": 2.038572072982788,
|
| 840 |
+
"eval_runtime": 4.2168,
|
| 841 |
+
"eval_samples_per_second": 118.574,
|
| 842 |
+
"eval_steps_per_second": 14.94,
|
| 843 |
"step": 9522
|
| 844 |
},
|
| 845 |
{
|
| 846 |
"epoch": 18.0,
|
| 847 |
+
"eval_exact_match": 19.2,
|
| 848 |
+
"eval_f1": 30.44984126984128,
|
| 849 |
"step": 9522
|
| 850 |
},
|
| 851 |
{
|
| 852 |
+
"epoch": 18.15,
|
|
|
|
| 853 |
"learning_rate": 3e-05,
|
| 854 |
+
"loss": 0.7697,
|
| 855 |
"step": 9600
|
| 856 |
},
|
| 857 |
{
|
| 858 |
+
"epoch": 18.34,
|
|
|
|
| 859 |
"learning_rate": 3e-05,
|
| 860 |
+
"loss": 0.7429,
|
| 861 |
"step": 9700
|
| 862 |
},
|
| 863 |
{
|
| 864 |
+
"epoch": 18.53,
|
|
|
|
| 865 |
"learning_rate": 3e-05,
|
| 866 |
+
"loss": 0.7468,
|
| 867 |
"step": 9800
|
| 868 |
},
|
| 869 |
{
|
| 870 |
+
"epoch": 18.71,
|
|
|
|
| 871 |
"learning_rate": 3e-05,
|
| 872 |
+
"loss": 0.7667,
|
| 873 |
"step": 9900
|
| 874 |
},
|
| 875 |
{
|
| 876 |
+
"epoch": 18.9,
|
|
|
|
| 877 |
"learning_rate": 3e-05,
|
| 878 |
+
"loss": 0.7848,
|
| 879 |
"step": 10000
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 19.0,
|
| 883 |
+
"eval_accuracy": 0.5963589743589743,
|
| 884 |
+
"eval_loss": 2.0627450942993164,
|
| 885 |
+
"eval_runtime": 4.2486,
|
| 886 |
+
"eval_samples_per_second": 117.685,
|
| 887 |
+
"eval_steps_per_second": 14.828,
|
| 888 |
"step": 10051
|
| 889 |
},
|
| 890 |
{
|
| 891 |
"epoch": 19.0,
|
| 892 |
+
"eval_exact_match": 19.0,
|
| 893 |
+
"eval_f1": 29.635238095238098,
|
| 894 |
"step": 10051
|
| 895 |
},
|
| 896 |
{
|
| 897 |
+
"epoch": 19.09,
|
|
|
|
| 898 |
"learning_rate": 3e-05,
|
| 899 |
+
"loss": 0.7537,
|
| 900 |
"step": 10100
|
| 901 |
},
|
| 902 |
{
|
| 903 |
+
"epoch": 19.28,
|
|
|
|
| 904 |
"learning_rate": 3e-05,
|
| 905 |
+
"loss": 0.718,
|
| 906 |
"step": 10200
|
| 907 |
},
|
| 908 |
{
|
| 909 |
+
"epoch": 19.47,
|
|
|
|
| 910 |
"learning_rate": 3e-05,
|
| 911 |
+
"loss": 0.7241,
|
| 912 |
"step": 10300
|
| 913 |
},
|
| 914 |
{
|
| 915 |
+
"epoch": 19.66,
|
|
|
|
| 916 |
"learning_rate": 3e-05,
|
| 917 |
+
"loss": 0.7421,
|
| 918 |
"step": 10400
|
| 919 |
},
|
| 920 |
{
|
| 921 |
+
"epoch": 19.85,
|
|
|
|
| 922 |
"learning_rate": 3e-05,
|
| 923 |
+
"loss": 0.745,
|
| 924 |
"step": 10500
|
| 925 |
},
|
| 926 |
{
|
| 927 |
"epoch": 20.0,
|
| 928 |
+
"eval_accuracy": 0.5965641025641025,
|
| 929 |
+
"eval_loss": 2.0825321674346924,
|
| 930 |
+
"eval_runtime": 4.9023,
|
| 931 |
+
"eval_samples_per_second": 101.993,
|
| 932 |
+
"eval_steps_per_second": 12.851,
|
| 933 |
"step": 10580
|
| 934 |
},
|
| 935 |
{
|
| 936 |
"epoch": 20.0,
|
| 937 |
+
"eval_exact_match": 16.0,
|
| 938 |
+
"eval_f1": 25.784563976747563,
|
| 939 |
"step": 10580
|
| 940 |
},
|
| 941 |
{
|
| 942 |
+
"epoch": 20.04,
|
|
|
|
| 943 |
"learning_rate": 3e-05,
|
| 944 |
+
"loss": 0.7384,
|
| 945 |
"step": 10600
|
| 946 |
},
|
| 947 |
{
|
| 948 |
+
"epoch": 20.23,
|
|
|
|
| 949 |
"learning_rate": 3e-05,
|
| 950 |
+
"loss": 0.6786,
|
| 951 |
"step": 10700
|
| 952 |
},
|
| 953 |
{
|
| 954 |
+
"epoch": 20.42,
|
|
|
|
| 955 |
"learning_rate": 3e-05,
|
| 956 |
+
"loss": 0.6921,
|
| 957 |
"step": 10800
|
| 958 |
},
|
| 959 |
{
|
| 960 |
+
"epoch": 20.6,
|
|
|
|
| 961 |
"learning_rate": 3e-05,
|
| 962 |
+
"loss": 0.7092,
|
| 963 |
"step": 10900
|
| 964 |
},
|
| 965 |
{
|
| 966 |
+
"epoch": 20.79,
|
|
|
|
| 967 |
"learning_rate": 3e-05,
|
| 968 |
+
"loss": 0.7248,
|
| 969 |
"step": 11000
|
| 970 |
},
|
| 971 |
{
|
| 972 |
+
"epoch": 20.98,
|
|
|
|
| 973 |
"learning_rate": 3e-05,
|
| 974 |
+
"loss": 0.7208,
|
| 975 |
"step": 11100
|
| 976 |
},
|
| 977 |
{
|
| 978 |
"epoch": 21.0,
|
| 979 |
+
"eval_accuracy": 0.595948717948718,
|
| 980 |
+
"eval_loss": 2.0958657264709473,
|
| 981 |
+
"eval_runtime": 4.2167,
|
| 982 |
+
"eval_samples_per_second": 118.575,
|
| 983 |
+
"eval_steps_per_second": 14.941,
|
| 984 |
"step": 11109
|
| 985 |
},
|
| 986 |
{
|
| 987 |
"epoch": 21.0,
|
| 988 |
+
"eval_exact_match": 9.4,
|
| 989 |
+
"eval_f1": 15.48481664400564,
|
| 990 |
"step": 11109
|
| 991 |
},
|
| 992 |
{
|
| 993 |
+
"epoch": 21.17,
|
|
|
|
| 994 |
"learning_rate": 3e-05,
|
| 995 |
+
"loss": 0.6604,
|
| 996 |
"step": 11200
|
| 997 |
},
|
| 998 |
{
|
| 999 |
+
"epoch": 21.36,
|
|
|
|
| 1000 |
"learning_rate": 3e-05,
|
| 1001 |
+
"loss": 0.6599,
|
| 1002 |
"step": 11300
|
| 1003 |
},
|
| 1004 |
{
|
| 1005 |
+
"epoch": 21.55,
|
|
|
|
| 1006 |
"learning_rate": 3e-05,
|
| 1007 |
+
"loss": 0.6775,
|
| 1008 |
"step": 11400
|
| 1009 |
},
|
| 1010 |
{
|
| 1011 |
+
"epoch": 21.74,
|
|
|
|
| 1012 |
"learning_rate": 3e-05,
|
| 1013 |
+
"loss": 0.7001,
|
| 1014 |
"step": 11500
|
| 1015 |
},
|
| 1016 |
{
|
| 1017 |
+
"epoch": 21.93,
|
|
|
|
| 1018 |
"learning_rate": 3e-05,
|
| 1019 |
+
"loss": 0.6842,
|
| 1020 |
"step": 11600
|
| 1021 |
},
|
| 1022 |
{
|
| 1023 |
"epoch": 22.0,
|
| 1024 |
+
"eval_accuracy": 0.5967692307692307,
|
| 1025 |
+
"eval_loss": 2.153414487838745,
|
| 1026 |
+
"eval_runtime": 4.8531,
|
| 1027 |
+
"eval_samples_per_second": 103.026,
|
| 1028 |
+
"eval_steps_per_second": 12.981,
|
| 1029 |
"step": 11638
|
| 1030 |
},
|
| 1031 |
{
|
| 1032 |
"epoch": 22.0,
|
| 1033 |
+
"eval_exact_match": 9.2,
|
| 1034 |
+
"eval_f1": 17.03231000578938,
|
| 1035 |
"step": 11638
|
| 1036 |
},
|
| 1037 |
{
|
| 1038 |
+
"epoch": 22.12,
|
|
|
|
| 1039 |
"learning_rate": 3e-05,
|
| 1040 |
+
"loss": 0.6544,
|
| 1041 |
"step": 11700
|
| 1042 |
},
|
| 1043 |
{
|
| 1044 |
+
"epoch": 22.31,
|
|
|
|
| 1045 |
"learning_rate": 3e-05,
|
| 1046 |
+
"loss": 0.641,
|
| 1047 |
"step": 11800
|
| 1048 |
},
|
| 1049 |
{
|
| 1050 |
+
"epoch": 22.5,
|
|
|
|
| 1051 |
"learning_rate": 3e-05,
|
| 1052 |
+
"loss": 0.6369,
|
| 1053 |
"step": 11900
|
| 1054 |
},
|
| 1055 |
{
|
| 1056 |
+
"epoch": 22.68,
|
|
|
|
| 1057 |
"learning_rate": 3e-05,
|
| 1058 |
+
"loss": 0.6468,
|
| 1059 |
"step": 12000
|
| 1060 |
},
|
| 1061 |
{
|
| 1062 |
+
"epoch": 22.87,
|
|
|
|
| 1063 |
"learning_rate": 3e-05,
|
| 1064 |
+
"loss": 0.6661,
|
| 1065 |
"step": 12100
|
| 1066 |
},
|
| 1067 |
{
|
| 1068 |
"epoch": 23.0,
|
| 1069 |
+
"eval_accuracy": 0.5974871794871794,
|
| 1070 |
+
"eval_loss": 2.179178237915039,
|
| 1071 |
+
"eval_runtime": 4.8444,
|
| 1072 |
+
"eval_samples_per_second": 103.211,
|
| 1073 |
+
"eval_steps_per_second": 13.005,
|
| 1074 |
"step": 12167
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 23.0,
|
| 1078 |
+
"eval_exact_match": 3.6,
|
| 1079 |
+
"eval_f1": 7.6552922676511725,
|
| 1080 |
"step": 12167
|
| 1081 |
},
|
| 1082 |
{
|
| 1083 |
+
"epoch": 23.06,
|
|
|
|
| 1084 |
"learning_rate": 3e-05,
|
| 1085 |
+
"loss": 0.6418,
|
| 1086 |
"step": 12200
|
| 1087 |
},
|
| 1088 |
{
|
| 1089 |
+
"epoch": 23.25,
|
|
|
|
| 1090 |
"learning_rate": 3e-05,
|
| 1091 |
+
"loss": 0.6012,
|
| 1092 |
"step": 12300
|
| 1093 |
},
|
| 1094 |
{
|
| 1095 |
+
"epoch": 23.44,
|
|
|
|
| 1096 |
"learning_rate": 3e-05,
|
| 1097 |
+
"loss": 0.6211,
|
| 1098 |
"step": 12400
|
| 1099 |
},
|
| 1100 |
{
|
| 1101 |
+
"epoch": 23.63,
|
|
|
|
| 1102 |
"learning_rate": 3e-05,
|
| 1103 |
+
"loss": 0.6174,
|
| 1104 |
"step": 12500
|
| 1105 |
},
|
| 1106 |
{
|
| 1107 |
+
"epoch": 23.82,
|
|
|
|
| 1108 |
"learning_rate": 3e-05,
|
| 1109 |
+
"loss": 0.6193,
|
| 1110 |
"step": 12600
|
| 1111 |
},
|
| 1112 |
{
|
| 1113 |
"epoch": 24.0,
|
| 1114 |
+
"eval_accuracy": 0.5967179487179487,
|
| 1115 |
+
"eval_loss": 2.152991771697998,
|
| 1116 |
+
"eval_runtime": 4.429,
|
| 1117 |
+
"eval_samples_per_second": 112.891,
|
| 1118 |
+
"eval_steps_per_second": 14.224,
|
| 1119 |
"step": 12696
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"epoch": 24.0,
|
| 1123 |
+
"eval_exact_match": 3.2,
|
| 1124 |
+
"eval_f1": 7.263414468771945,
|
| 1125 |
"step": 12696
|
| 1126 |
},
|
| 1127 |
{
|
| 1128 |
+
"epoch": 24.01,
|
|
|
|
| 1129 |
"learning_rate": 3e-05,
|
| 1130 |
+
"loss": 0.6329,
|
| 1131 |
"step": 12700
|
| 1132 |
},
|
| 1133 |
{
|
| 1134 |
+
"epoch": 24.2,
|
|
|
|
| 1135 |
"learning_rate": 3e-05,
|
| 1136 |
+
"loss": 0.572,
|
| 1137 |
"step": 12800
|
| 1138 |
},
|
| 1139 |
{
|
| 1140 |
+
"epoch": 24.39,
|
|
|
|
| 1141 |
"learning_rate": 3e-05,
|
| 1142 |
+
"loss": 0.585,
|
| 1143 |
"step": 12900
|
| 1144 |
},
|
| 1145 |
{
|
| 1146 |
+
"epoch": 24.57,
|
|
|
|
| 1147 |
"learning_rate": 3e-05,
|
| 1148 |
+
"loss": 0.5894,
|
| 1149 |
"step": 13000
|
| 1150 |
},
|
| 1151 |
{
|
| 1152 |
+
"epoch": 24.76,
|
|
|
|
| 1153 |
"learning_rate": 3e-05,
|
| 1154 |
+
"loss": 0.6002,
|
| 1155 |
"step": 13100
|
| 1156 |
},
|
| 1157 |
{
|
| 1158 |
+
"epoch": 24.95,
|
|
|
|
| 1159 |
"learning_rate": 3e-05,
|
| 1160 |
+
"loss": 0.6064,
|
| 1161 |
"step": 13200
|
| 1162 |
},
|
| 1163 |
{
|
| 1164 |
"epoch": 25.0,
|
| 1165 |
+
"eval_accuracy": 0.5957948717948718,
|
| 1166 |
+
"eval_loss": 2.1720352172851562,
|
| 1167 |
+
"eval_runtime": 4.1244,
|
| 1168 |
+
"eval_samples_per_second": 121.23,
|
| 1169 |
+
"eval_steps_per_second": 15.275,
|
| 1170 |
"step": 13225
|
| 1171 |
},
|
| 1172 |
{
|
| 1173 |
"epoch": 25.0,
|
| 1174 |
+
"eval_exact_match": 1.0,
|
| 1175 |
+
"eval_f1": 2.817526608207056,
|
| 1176 |
"step": 13225
|
| 1177 |
},
|
| 1178 |
{
|
| 1179 |
+
"epoch": 25.14,
|
|
|
|
| 1180 |
"learning_rate": 3e-05,
|
| 1181 |
+
"loss": 0.5603,
|
| 1182 |
"step": 13300
|
| 1183 |
},
|
| 1184 |
{
|
| 1185 |
+
"epoch": 25.33,
|
|
|
|
| 1186 |
"learning_rate": 3e-05,
|
| 1187 |
+
"loss": 0.5438,
|
| 1188 |
"step": 13400
|
| 1189 |
},
|
| 1190 |
{
|
| 1191 |
+
"epoch": 25.52,
|
|
|
|
| 1192 |
"learning_rate": 3e-05,
|
| 1193 |
+
"loss": 0.5718,
|
| 1194 |
"step": 13500
|
| 1195 |
},
|
| 1196 |
{
|
| 1197 |
+
"epoch": 25.71,
|
|
|
|
| 1198 |
"learning_rate": 3e-05,
|
| 1199 |
+
"loss": 0.5804,
|
| 1200 |
"step": 13600
|
| 1201 |
},
|
| 1202 |
{
|
| 1203 |
+
"epoch": 25.9,
|
|
|
|
| 1204 |
"learning_rate": 3e-05,
|
| 1205 |
+
"loss": 0.5776,
|
| 1206 |
"step": 13700
|
| 1207 |
},
|
| 1208 |
{
|
| 1209 |
"epoch": 26.0,
|
| 1210 |
+
"eval_accuracy": 0.5965641025641025,
|
| 1211 |
+
"eval_loss": 2.216242790222168,
|
| 1212 |
+
"eval_runtime": 4.8581,
|
| 1213 |
+
"eval_samples_per_second": 102.921,
|
| 1214 |
+
"eval_steps_per_second": 12.968,
|
| 1215 |
"step": 13754
|
| 1216 |
},
|
| 1217 |
{
|
| 1218 |
"epoch": 26.0,
|
| 1219 |
+
"eval_exact_match": 0.6,
|
| 1220 |
+
"eval_f1": 1.5737055770144102,
|
| 1221 |
"step": 13754
|
| 1222 |
},
|
| 1223 |
{
|
| 1224 |
+
"epoch": 26.09,
|
|
|
|
| 1225 |
"learning_rate": 3e-05,
|
| 1226 |
+
"loss": 0.5613,
|
| 1227 |
"step": 13800
|
| 1228 |
},
|
| 1229 |
{
|
| 1230 |
+
"epoch": 26.28,
|
|
|
|
| 1231 |
"learning_rate": 3e-05,
|
| 1232 |
+
"loss": 0.5267,
|
| 1233 |
"step": 13900
|
| 1234 |
},
|
| 1235 |
{
|
| 1236 |
+
"epoch": 26.47,
|
|
|
|
| 1237 |
"learning_rate": 3e-05,
|
| 1238 |
+
"loss": 0.542,
|
| 1239 |
"step": 14000
|
| 1240 |
},
|
| 1241 |
{
|
| 1242 |
+
"epoch": 26.65,
|
|
|
|
| 1243 |
"learning_rate": 3e-05,
|
| 1244 |
+
"loss": 0.5457,
|
| 1245 |
"step": 14100
|
| 1246 |
},
|
| 1247 |
{
|
| 1248 |
+
"epoch": 26.84,
|
|
|
|
| 1249 |
"learning_rate": 3e-05,
|
| 1250 |
+
"loss": 0.5492,
|
| 1251 |
"step": 14200
|
| 1252 |
},
|
| 1253 |
{
|
| 1254 |
"epoch": 27.0,
|
| 1255 |
+
"eval_accuracy": 0.5861538461538461,
|
| 1256 |
+
"eval_loss": 2.238172769546509,
|
| 1257 |
+
"eval_runtime": 4.6504,
|
| 1258 |
+
"eval_samples_per_second": 107.516,
|
| 1259 |
+
"eval_steps_per_second": 13.547,
|
| 1260 |
"step": 14283
|
| 1261 |
},
|
| 1262 |
{
|
| 1263 |
"epoch": 27.0,
|
| 1264 |
+
"eval_exact_match": 0.4,
|
| 1265 |
+
"eval_f1": 1.9589310673272307,
|
| 1266 |
"step": 14283
|
| 1267 |
},
|
| 1268 |
{
|
| 1269 |
+
"epoch": 27.03,
|
|
|
|
| 1270 |
"learning_rate": 3e-05,
|
| 1271 |
+
"loss": 0.5488,
|
| 1272 |
"step": 14300
|
| 1273 |
},
|
| 1274 |
{
|
| 1275 |
+
"epoch": 27.22,
|
|
|
|
| 1276 |
"learning_rate": 3e-05,
|
| 1277 |
+
"loss": 0.5016,
|
| 1278 |
"step": 14400
|
| 1279 |
},
|
| 1280 |
{
|
| 1281 |
+
"epoch": 27.41,
|
|
|
|
| 1282 |
"learning_rate": 3e-05,
|
| 1283 |
+
"loss": 0.5115,
|
| 1284 |
"step": 14500
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
+
"epoch": 27.6,
|
|
|
|
| 1288 |
"learning_rate": 3e-05,
|
| 1289 |
+
"loss": 0.5219,
|
| 1290 |
"step": 14600
|
| 1291 |
},
|
| 1292 |
{
|
| 1293 |
+
"epoch": 27.79,
|
|
|
|
| 1294 |
"learning_rate": 3e-05,
|
| 1295 |
+
"loss": 0.5388,
|
| 1296 |
"step": 14700
|
| 1297 |
},
|
| 1298 |
{
|
| 1299 |
+
"epoch": 27.98,
|
|
|
|
| 1300 |
"learning_rate": 3e-05,
|
| 1301 |
+
"loss": 0.5256,
|
| 1302 |
"step": 14800
|
| 1303 |
},
|
| 1304 |
{
|
| 1305 |
"epoch": 28.0,
|
| 1306 |
+
"eval_accuracy": 0.5963076923076923,
|
| 1307 |
+
"eval_loss": 2.2273213863372803,
|
| 1308 |
+
"eval_runtime": 4.4195,
|
| 1309 |
+
"eval_samples_per_second": 113.136,
|
| 1310 |
+
"eval_steps_per_second": 14.255,
|
| 1311 |
"step": 14812
|
| 1312 |
},
|
| 1313 |
{
|
| 1314 |
"epoch": 28.0,
|
| 1315 |
+
"eval_exact_match": 0.6,
|
| 1316 |
+
"eval_f1": 1.254701854861382,
|
| 1317 |
"step": 14812
|
| 1318 |
},
|
| 1319 |
{
|
| 1320 |
+
"epoch": 28.17,
|
|
|
|
| 1321 |
"learning_rate": 3e-05,
|
| 1322 |
+
"loss": 0.4814,
|
| 1323 |
"step": 14900
|
| 1324 |
},
|
| 1325 |
{
|
| 1326 |
+
"epoch": 28.36,
|
|
|
|
| 1327 |
"learning_rate": 3e-05,
|
| 1328 |
+
"loss": 0.4943,
|
| 1329 |
"step": 15000
|
| 1330 |
},
|
| 1331 |
{
|
| 1332 |
+
"epoch": 28.54,
|
|
|
|
| 1333 |
"learning_rate": 3e-05,
|
| 1334 |
+
"loss": 0.4899,
|
| 1335 |
"step": 15100
|
| 1336 |
},
|
| 1337 |
{
|
| 1338 |
+
"epoch": 28.73,
|
|
|
|
| 1339 |
"learning_rate": 3e-05,
|
| 1340 |
+
"loss": 0.5047,
|
| 1341 |
"step": 15200
|
| 1342 |
},
|
| 1343 |
{
|
| 1344 |
+
"epoch": 28.92,
|
|
|
|
| 1345 |
"learning_rate": 3e-05,
|
| 1346 |
+
"loss": 0.5128,
|
| 1347 |
"step": 15300
|
| 1348 |
},
|
| 1349 |
{
|
| 1350 |
"epoch": 29.0,
|
| 1351 |
+
"eval_accuracy": 0.5947692307692307,
|
| 1352 |
+
"eval_loss": 2.244802713394165,
|
| 1353 |
+
"eval_runtime": 4.2174,
|
| 1354 |
+
"eval_samples_per_second": 118.556,
|
| 1355 |
+
"eval_steps_per_second": 14.938,
|
| 1356 |
"step": 15341
|
| 1357 |
},
|
| 1358 |
{
|
| 1359 |
"epoch": 29.0,
|
| 1360 |
"eval_exact_match": 0.0,
|
| 1361 |
+
"eval_f1": 0.3342622661004701,
|
| 1362 |
"step": 15341
|
| 1363 |
},
|
| 1364 |
{
|
| 1365 |
+
"epoch": 29.11,
|
|
|
|
| 1366 |
"learning_rate": 3e-05,
|
| 1367 |
+
"loss": 0.4776,
|
| 1368 |
"step": 15400
|
| 1369 |
},
|
| 1370 |
{
|
| 1371 |
+
"epoch": 29.3,
|
|
|
|
| 1372 |
"learning_rate": 3e-05,
|
| 1373 |
+
"loss": 0.4659,
|
| 1374 |
"step": 15500
|
| 1375 |
},
|
| 1376 |
{
|
| 1377 |
+
"epoch": 29.49,
|
|
|
|
| 1378 |
"learning_rate": 3e-05,
|
| 1379 |
+
"loss": 0.4738,
|
| 1380 |
"step": 15600
|
| 1381 |
},
|
| 1382 |
{
|
| 1383 |
+
"epoch": 29.68,
|
|
|
|
| 1384 |
"learning_rate": 3e-05,
|
| 1385 |
+
"loss": 0.4833,
|
| 1386 |
"step": 15700
|
| 1387 |
},
|
| 1388 |
{
|
| 1389 |
+
"epoch": 29.87,
|
|
|
|
| 1390 |
"learning_rate": 3e-05,
|
| 1391 |
+
"loss": 0.4846,
|
| 1392 |
"step": 15800
|
| 1393 |
},
|
| 1394 |
{
|
| 1395 |
"epoch": 30.0,
|
| 1396 |
+
"eval_accuracy": 0.5846153846153846,
|
| 1397 |
+
"eval_loss": 2.2697417736053467,
|
| 1398 |
+
"eval_runtime": 4.1128,
|
| 1399 |
+
"eval_samples_per_second": 121.571,
|
| 1400 |
+
"eval_steps_per_second": 15.318,
|
| 1401 |
"step": 15870
|
| 1402 |
},
|
| 1403 |
{
|
| 1404 |
"epoch": 30.0,
|
| 1405 |
"eval_exact_match": 0.0,
|
| 1406 |
+
"eval_f1": 0.17287697257712523,
|
| 1407 |
"step": 15870
|
| 1408 |
},
|
| 1409 |
{
|
| 1410 |
+
"epoch": 30.06,
|
|
|
|
| 1411 |
"learning_rate": 3e-05,
|
| 1412 |
+
"loss": 0.4719,
|
| 1413 |
"step": 15900
|
| 1414 |
},
|
| 1415 |
{
|
| 1416 |
+
"epoch": 30.25,
|
|
|
|
| 1417 |
"learning_rate": 3e-05,
|
| 1418 |
+
"loss": 0.4404,
|
| 1419 |
"step": 16000
|
| 1420 |
},
|
| 1421 |
{
|
| 1422 |
+
"epoch": 30.43,
|
|
|
|
| 1423 |
"learning_rate": 3e-05,
|
| 1424 |
+
"loss": 0.4533,
|
| 1425 |
"step": 16100
|
| 1426 |
},
|
| 1427 |
{
|
| 1428 |
+
"epoch": 30.62,
|
|
|
|
| 1429 |
"learning_rate": 3e-05,
|
| 1430 |
+
"loss": 0.4623,
|
| 1431 |
"step": 16200
|
| 1432 |
},
|
| 1433 |
{
|
| 1434 |
+
"epoch": 30.81,
|
|
|
|
| 1435 |
"learning_rate": 3e-05,
|
| 1436 |
+
"loss": 0.4623,
|
| 1437 |
"step": 16300
|
| 1438 |
},
|
| 1439 |
{
|
| 1440 |
"epoch": 31.0,
|
| 1441 |
+
"eval_accuracy": 0.5968205128205128,
|
| 1442 |
+
"eval_loss": 2.242527723312378,
|
| 1443 |
+
"eval_runtime": 4.221,
|
| 1444 |
+
"eval_samples_per_second": 118.456,
|
| 1445 |
+
"eval_steps_per_second": 14.925,
|
| 1446 |
"step": 16399
|
| 1447 |
},
|
| 1448 |
{
|
| 1449 |
"epoch": 31.0,
|
| 1450 |
"eval_exact_match": 0.0,
|
| 1451 |
+
"eval_f1": 0.03156586531586532,
|
| 1452 |
"step": 16399
|
| 1453 |
},
|
| 1454 |
{
|
| 1455 |
+
"epoch": 31.0,
|
|
|
|
| 1456 |
"learning_rate": 3e-05,
|
| 1457 |
+
"loss": 0.4683,
|
| 1458 |
"step": 16400
|
| 1459 |
},
|
| 1460 |
{
|
| 1461 |
+
"epoch": 31.19,
|
|
|
|
| 1462 |
"learning_rate": 3e-05,
|
| 1463 |
+
"loss": 0.4273,
|
| 1464 |
"step": 16500
|
| 1465 |
},
|
| 1466 |
{
|
| 1467 |
+
"epoch": 31.38,
|
|
|
|
| 1468 |
"learning_rate": 3e-05,
|
| 1469 |
+
"loss": 0.4315,
|
| 1470 |
"step": 16600
|
| 1471 |
},
|
| 1472 |
{
|
| 1473 |
+
"epoch": 31.57,
|
|
|
|
| 1474 |
"learning_rate": 3e-05,
|
| 1475 |
+
"loss": 0.4442,
|
| 1476 |
"step": 16700
|
| 1477 |
},
|
| 1478 |
{
|
| 1479 |
+
"epoch": 31.76,
|
|
|
|
| 1480 |
"learning_rate": 3e-05,
|
| 1481 |
+
"loss": 0.4539,
|
| 1482 |
"step": 16800
|
| 1483 |
},
|
| 1484 |
{
|
| 1485 |
+
"epoch": 31.95,
|
|
|
|
| 1486 |
"learning_rate": 3e-05,
|
| 1487 |
+
"loss": 0.4468,
|
| 1488 |
"step": 16900
|
| 1489 |
},
|
| 1490 |
{
|
| 1491 |
"epoch": 32.0,
|
| 1492 |
+
"eval_accuracy": 0.5936410256410256,
|
| 1493 |
+
"eval_loss": 2.265359401702881,
|
| 1494 |
+
"eval_runtime": 4.2139,
|
| 1495 |
+
"eval_samples_per_second": 118.656,
|
| 1496 |
+
"eval_steps_per_second": 14.951,
|
| 1497 |
"step": 16928
|
| 1498 |
},
|
| 1499 |
{
|
|
|
|
| 1503 |
"step": 16928
|
| 1504 |
},
|
| 1505 |
{
|
| 1506 |
+
"epoch": 32.14,
|
|
|
|
| 1507 |
"learning_rate": 3e-05,
|
| 1508 |
+
"loss": 0.4321,
|
| 1509 |
"step": 17000
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
+
"epoch": 32.33,
|
|
|
|
| 1513 |
"learning_rate": 3e-05,
|
| 1514 |
+
"loss": 0.4213,
|
| 1515 |
"step": 17100
|
| 1516 |
},
|
| 1517 |
{
|
| 1518 |
+
"epoch": 32.51,
|
|
|
|
| 1519 |
"learning_rate": 3e-05,
|
| 1520 |
+
"loss": 0.4312,
|
| 1521 |
"step": 17200
|
| 1522 |
},
|
| 1523 |
{
|
| 1524 |
+
"epoch": 32.7,
|
|
|
|
| 1525 |
"learning_rate": 3e-05,
|
| 1526 |
+
"loss": 0.442,
|
| 1527 |
"step": 17300
|
| 1528 |
},
|
| 1529 |
{
|
| 1530 |
+
"epoch": 32.89,
|
|
|
|
| 1531 |
"learning_rate": 3e-05,
|
| 1532 |
+
"loss": 0.4714,
|
| 1533 |
"step": 17400
|
| 1534 |
},
|
| 1535 |
{
|
| 1536 |
"epoch": 33.0,
|
| 1537 |
+
"eval_accuracy": 0.5956923076923077,
|
| 1538 |
+
"eval_loss": 2.1317203044891357,
|
| 1539 |
+
"eval_runtime": 4.6149,
|
| 1540 |
+
"eval_samples_per_second": 108.344,
|
| 1541 |
+
"eval_steps_per_second": 13.651,
|
| 1542 |
"step": 17457
|
| 1543 |
},
|
| 1544 |
{
|
|
|
|
| 1548 |
"step": 17457
|
| 1549 |
},
|
| 1550 |
{
|
| 1551 |
+
"epoch": 33.08,
|
|
|
|
| 1552 |
"learning_rate": 3e-05,
|
| 1553 |
+
"loss": 0.913,
|
| 1554 |
"step": 17500
|
| 1555 |
},
|
| 1556 |
{
|
| 1557 |
+
"epoch": 33.27,
|
|
|
|
| 1558 |
"learning_rate": 3e-05,
|
| 1559 |
+
"loss": 1.1341,
|
| 1560 |
"step": 17600
|
| 1561 |
},
|
| 1562 |
{
|
| 1563 |
+
"epoch": 33.46,
|
|
|
|
| 1564 |
"learning_rate": 3e-05,
|
| 1565 |
+
"loss": 0.9858,
|
| 1566 |
"step": 17700
|
| 1567 |
},
|
| 1568 |
{
|
| 1569 |
+
"epoch": 33.65,
|
|
|
|
| 1570 |
"learning_rate": 3e-05,
|
| 1571 |
+
"loss": 0.8735,
|
| 1572 |
"step": 17800
|
| 1573 |
},
|
| 1574 |
{
|
| 1575 |
+
"epoch": 33.84,
|
|
|
|
| 1576 |
"learning_rate": 3e-05,
|
| 1577 |
+
"loss": 0.8308,
|
| 1578 |
"step": 17900
|
| 1579 |
},
|
| 1580 |
{
|
| 1581 |
"epoch": 34.0,
|
| 1582 |
+
"eval_accuracy": 0.5973333333333334,
|
| 1583 |
+
"eval_loss": 1.9391597509384155,
|
| 1584 |
+
"eval_runtime": 4.8479,
|
| 1585 |
+
"eval_samples_per_second": 103.137,
|
| 1586 |
+
"eval_steps_per_second": 12.995,
|
| 1587 |
"step": 17986
|
| 1588 |
},
|
| 1589 |
{
|
| 1590 |
"epoch": 34.0,
|
| 1591 |
"eval_exact_match": 0.0,
|
| 1592 |
+
"eval_f1": 0.0,
|
| 1593 |
"step": 17986
|
| 1594 |
},
|
| 1595 |
{
|
| 1596 |
+
"epoch": 34.03,
|
|
|
|
| 1597 |
"learning_rate": 3e-05,
|
| 1598 |
+
"loss": 0.789,
|
| 1599 |
"step": 18000
|
| 1600 |
},
|
| 1601 |
{
|
| 1602 |
+
"epoch": 34.22,
|
|
|
|
| 1603 |
"learning_rate": 3e-05,
|
| 1604 |
+
"loss": 0.7127,
|
| 1605 |
"step": 18100
|
| 1606 |
},
|
| 1607 |
{
|
| 1608 |
+
"epoch": 34.4,
|
|
|
|
| 1609 |
"learning_rate": 3e-05,
|
| 1610 |
+
"loss": 0.7207,
|
| 1611 |
"step": 18200
|
| 1612 |
},
|
| 1613 |
{
|
| 1614 |
+
"epoch": 34.59,
|
|
|
|
| 1615 |
"learning_rate": 3e-05,
|
| 1616 |
+
"loss": 0.6766,
|
| 1617 |
"step": 18300
|
| 1618 |
},
|
| 1619 |
{
|
| 1620 |
+
"epoch": 34.78,
|
|
|
|
| 1621 |
"learning_rate": 3e-05,
|
| 1622 |
+
"loss": 0.6589,
|
| 1623 |
"step": 18400
|
| 1624 |
},
|
| 1625 |
{
|
| 1626 |
+
"epoch": 34.97,
|
|
|
|
| 1627 |
"learning_rate": 3e-05,
|
| 1628 |
+
"loss": 0.6478,
|
| 1629 |
"step": 18500
|
| 1630 |
},
|
| 1631 |
{
|
| 1632 |
"epoch": 35.0,
|
| 1633 |
+
"eval_accuracy": 0.5978974358974359,
|
| 1634 |
+
"eval_loss": 2.034553289413452,
|
| 1635 |
+
"eval_runtime": 4.1113,
|
| 1636 |
+
"eval_samples_per_second": 121.615,
|
| 1637 |
+
"eval_steps_per_second": 15.324,
|
| 1638 |
"step": 18515
|
| 1639 |
},
|
| 1640 |
{
|
|
|
|
| 1644 |
"step": 18515
|
| 1645 |
},
|
| 1646 |
{
|
| 1647 |
+
"epoch": 35.16,
|
|
|
|
| 1648 |
"learning_rate": 3e-05,
|
| 1649 |
+
"loss": 0.6129,
|
| 1650 |
"step": 18600
|
| 1651 |
},
|
| 1652 |
{
|
| 1653 |
+
"epoch": 35.35,
|
|
|
|
| 1654 |
"learning_rate": 3e-05,
|
| 1655 |
+
"loss": 0.6141,
|
| 1656 |
"step": 18700
|
| 1657 |
},
|
| 1658 |
{
|
| 1659 |
+
"epoch": 35.54,
|
|
|
|
| 1660 |
"learning_rate": 3e-05,
|
| 1661 |
+
"loss": 0.605,
|
| 1662 |
"step": 18800
|
| 1663 |
},
|
| 1664 |
{
|
| 1665 |
+
"epoch": 35.73,
|
|
|
|
| 1666 |
"learning_rate": 3e-05,
|
| 1667 |
+
"loss": 0.6031,
|
| 1668 |
"step": 18900
|
| 1669 |
},
|
| 1670 |
{
|
| 1671 |
+
"epoch": 35.92,
|
|
|
|
| 1672 |
"learning_rate": 3e-05,
|
| 1673 |
+
"loss": 0.612,
|
| 1674 |
"step": 19000
|
| 1675 |
},
|
| 1676 |
{
|
| 1677 |
"epoch": 36.0,
|
| 1678 |
+
"eval_accuracy": 0.5977948717948718,
|
| 1679 |
+
"eval_loss": 2.08821964263916,
|
| 1680 |
+
"eval_runtime": 4.4206,
|
| 1681 |
+
"eval_samples_per_second": 113.108,
|
| 1682 |
+
"eval_steps_per_second": 14.252,
|
| 1683 |
"step": 19044
|
| 1684 |
},
|
| 1685 |
{
|
|
|
|
| 1689 |
"step": 19044
|
| 1690 |
},
|
| 1691 |
{
|
| 1692 |
+
"epoch": 36.11,
|
|
|
|
| 1693 |
"learning_rate": 3e-05,
|
| 1694 |
+
"loss": 0.6204,
|
| 1695 |
"step": 19100
|
| 1696 |
},
|
| 1697 |
{
|
| 1698 |
+
"epoch": 36.29,
|
|
|
|
| 1699 |
"learning_rate": 3e-05,
|
| 1700 |
+
"loss": 0.569,
|
| 1701 |
"step": 19200
|
| 1702 |
},
|
| 1703 |
{
|
| 1704 |
+
"epoch": 36.48,
|
|
|
|
| 1705 |
"learning_rate": 3e-05,
|
| 1706 |
+
"loss": 0.5727,
|
| 1707 |
"step": 19300
|
| 1708 |
},
|
| 1709 |
{
|
| 1710 |
+
"epoch": 36.67,
|
|
|
|
| 1711 |
"learning_rate": 3e-05,
|
| 1712 |
+
"loss": 0.6022,
|
| 1713 |
"step": 19400
|
| 1714 |
},
|
| 1715 |
{
|
| 1716 |
+
"epoch": 36.86,
|
|
|
|
| 1717 |
"learning_rate": 3e-05,
|
| 1718 |
+
"loss": 0.5928,
|
| 1719 |
"step": 19500
|
| 1720 |
},
|
| 1721 |
{
|
| 1722 |
"epoch": 37.0,
|
| 1723 |
+
"eval_accuracy": 0.596974358974359,
|
| 1724 |
+
"eval_loss": 2.142036199569702,
|
| 1725 |
+
"eval_runtime": 4.1124,
|
| 1726 |
+
"eval_samples_per_second": 121.585,
|
| 1727 |
+
"eval_steps_per_second": 15.32,
|
| 1728 |
"step": 19573
|
| 1729 |
},
|
| 1730 |
{
|
| 1731 |
"epoch": 37.0,
|
| 1732 |
"eval_exact_match": 0.0,
|
| 1733 |
+
"eval_f1": 0.0,
|
| 1734 |
"step": 19573
|
| 1735 |
}
|
| 1736 |
],
|
| 1737 |
"logging_steps": 100,
|
| 1738 |
"max_steps": 26450,
|
|
|
|
| 1739 |
"num_train_epochs": 50,
|
| 1740 |
"save_steps": 500,
|
| 1741 |
+
"total_flos": 3.3051315553068646e+18,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1742 |
"trial_name": null,
|
| 1743 |
"trial_params": null
|
| 1744 |
}
|
checkpoint-19573/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:ec9dd2a1e083127818a65cb4d99f38a0a803e54a476491027d2e996644eba47c
|
| 3 |
+
size 4728
|