Model save
Browse files- README.md +1 -2
- adapter_config.json +5 -5
- adapter_model.safetensors +1 -1
- all_results.json +4 -9
- runs/Apr08_20-25-52_ip-172-31-69-60.ec2.internal/events.out.tfevents.1712607974.ip-172-31-69-60.ec2.internal.23138.0 +3 -0
- runs/Apr08_22-39-05_ip-172-31-69-60.ec2.internal/events.out.tfevents.1712615965.ip-172-31-69-60.ec2.internal.45971.0 +3 -0
- train_results.json +4 -4
- trainer_state.json +128 -128
- training_args.bin +1 -1
README.md
CHANGED
|
@@ -4,7 +4,6 @@ library_name: peft
|
|
| 4 |
tags:
|
| 5 |
- trl
|
| 6 |
- sft
|
| 7 |
-
- alignment-handbook
|
| 8 |
- generated_from_trainer
|
| 9 |
base_model: mistralai/Mistral-7B-v0.1
|
| 10 |
model-index:
|
|
@@ -56,7 +55,7 @@ The following hyperparameters were used during training:
|
|
| 56 |
|
| 57 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 58 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 59 |
-
| 0.
|
| 60 |
|
| 61 |
|
| 62 |
### Framework versions
|
|
|
|
| 4 |
tags:
|
| 5 |
- trl
|
| 6 |
- sft
|
|
|
|
| 7 |
- generated_from_trainer
|
| 8 |
base_model: mistralai/Mistral-7B-v0.1
|
| 9 |
model-index:
|
|
|
|
| 55 |
|
| 56 |
| Training Loss | Epoch | Step | Validation Loss |
|
| 57 |
|:-------------:|:-----:|:----:|:---------------:|
|
| 58 |
+
| 0.7491 | 1.0 | 325 | 0.7774 |
|
| 59 |
|
| 60 |
|
| 61 |
### Framework versions
|
adapter_config.json
CHANGED
|
@@ -19,13 +19,13 @@
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
| 22 |
-
"
|
| 23 |
-
"
|
| 24 |
-
"down_proj",
|
| 25 |
"gate_proj",
|
| 26 |
"k_proj",
|
| 27 |
-
"
|
| 28 |
-
"
|
|
|
|
| 29 |
],
|
| 30 |
"task_type": "CAUSAL_LM"
|
| 31 |
}
|
|
|
|
| 19 |
"rank_pattern": {},
|
| 20 |
"revision": null,
|
| 21 |
"target_modules": [
|
| 22 |
+
"up_proj",
|
| 23 |
+
"o_proj",
|
|
|
|
| 24 |
"gate_proj",
|
| 25 |
"k_proj",
|
| 26 |
+
"down_proj",
|
| 27 |
+
"q_proj",
|
| 28 |
+
"v_proj"
|
| 29 |
],
|
| 30 |
"task_type": "CAUSAL_LM"
|
| 31 |
}
|
adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 83946192
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53af4775901a7163d635d95a3fe57ac3c41ec324e6f8f992e5db1cc53b59f2b4
|
| 3 |
size 83946192
|
all_results.json
CHANGED
|
@@ -1,13 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
-
"
|
| 4 |
-
"
|
| 5 |
-
"eval_samples": 231,
|
| 6 |
-
"eval_samples_per_second": 5.101,
|
| 7 |
-
"eval_steps_per_second": 0.177,
|
| 8 |
-
"train_loss": 0.057297961895282454,
|
| 9 |
-
"train_runtime": 986.3633,
|
| 10 |
"train_samples": 20787,
|
| 11 |
-
"train_samples_per_second":
|
| 12 |
-
"train_steps_per_second": 0.
|
| 13 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"train_loss": 0.7601131853690514,
|
| 4 |
+
"train_runtime": 11993.6222,
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
"train_samples": 20787,
|
| 6 |
+
"train_samples_per_second": 1.733,
|
| 7 |
+
"train_steps_per_second": 0.027
|
| 8 |
}
|
runs/Apr08_20-25-52_ip-172-31-69-60.ec2.internal/events.out.tfevents.1712607974.ip-172-31-69-60.ec2.internal.23138.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:272707ee25876d39e2d4b937c0d3e81d55db05ff5b99c8bf6800390d0ee51767
|
| 3 |
+
size 5725
|
runs/Apr08_22-39-05_ip-172-31-69-60.ec2.internal/events.out.tfevents.1712615965.ip-172-31-69-60.ec2.internal.45971.0
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9858aeaa7e541e20024a4a3996d8551253eb440245d9f61f0bc5738dfa93b4c6
|
| 3 |
+
size 19137
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 20787,
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second": 0.
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 1.0,
|
| 3 |
+
"train_loss": 0.7601131853690514,
|
| 4 |
+
"train_runtime": 11993.6222,
|
| 5 |
"train_samples": 20787,
|
| 6 |
+
"train_samples_per_second": 1.733,
|
| 7 |
+
"train_steps_per_second": 0.027
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -10,482 +10,482 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.0,
|
| 13 |
-
"grad_norm": 0.
|
| 14 |
"learning_rate": 6.060606060606061e-06,
|
| 15 |
"loss": 0.7782,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.02,
|
| 20 |
-
"grad_norm": 0.
|
| 21 |
"learning_rate": 3.0303030303030306e-05,
|
| 22 |
-
"loss": 0.
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.03,
|
| 27 |
-
"grad_norm": 0.
|
| 28 |
"learning_rate": 6.060606060606061e-05,
|
| 29 |
"loss": 0.7851,
|
| 30 |
"step": 10
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.05,
|
| 34 |
-
"grad_norm": 0.
|
| 35 |
"learning_rate": 9.090909090909092e-05,
|
| 36 |
-
"loss": 0.
|
| 37 |
"step": 15
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.06,
|
| 41 |
-
"grad_norm": 0.
|
| 42 |
"learning_rate": 0.00012121212121212122,
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 20
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.08,
|
| 48 |
-
"grad_norm": 0.
|
| 49 |
"learning_rate": 0.00015151515151515152,
|
| 50 |
-
"loss": 0.
|
| 51 |
"step": 25
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.09,
|
| 55 |
-
"grad_norm": 0.
|
| 56 |
"learning_rate": 0.00018181818181818183,
|
| 57 |
-
"loss": 0.
|
| 58 |
"step": 30
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.11,
|
| 62 |
-
"grad_norm": 0.
|
| 63 |
"learning_rate": 0.00019997685019798912,
|
| 64 |
-
"loss": 0.
|
| 65 |
"step": 35
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.12,
|
| 69 |
-
"grad_norm": 0.
|
| 70 |
"learning_rate": 0.0001997165380022878,
|
| 71 |
"loss": 0.7607,
|
| 72 |
"step": 40
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.14,
|
| 76 |
-
"grad_norm": 0.
|
| 77 |
"learning_rate": 0.000199167731989929,
|
| 78 |
-
"loss": 0.
|
| 79 |
"step": 45
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.15,
|
| 83 |
-
"grad_norm": 0.
|
| 84 |
"learning_rate": 0.0001983320199330545,
|
| 85 |
-
"loss": 0.
|
| 86 |
"step": 50
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.17,
|
| 90 |
-
"grad_norm": 0.
|
| 91 |
"learning_rate": 0.00019721181966290613,
|
| 92 |
-
"loss": 0.
|
| 93 |
"step": 55
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.18,
|
| 97 |
-
"grad_norm": 0.
|
| 98 |
"learning_rate": 0.00019581037207470382,
|
| 99 |
-
"loss": 0.
|
| 100 |
"step": 60
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 0.2,
|
| 104 |
-
"grad_norm": 0.
|
| 105 |
"learning_rate": 0.00019413173175128473,
|
| 106 |
-
"loss": 0.
|
| 107 |
"step": 65
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 0.22,
|
| 111 |
-
"grad_norm": 0.
|
| 112 |
"learning_rate": 0.00019218075523263104,
|
| 113 |
-
"loss": 0.
|
| 114 |
"step": 70
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 0.23,
|
| 118 |
-
"grad_norm": 0.
|
| 119 |
"learning_rate": 0.00018996308696522433,
|
| 120 |
"loss": 0.7617,
|
| 121 |
"step": 75
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"epoch": 0.25,
|
| 125 |
-
"grad_norm": 0.
|
| 126 |
"learning_rate": 0.00018748514297187648,
|
| 127 |
"loss": 0.7995,
|
| 128 |
"step": 80
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.26,
|
| 132 |
-
"grad_norm": 0.
|
| 133 |
"learning_rate": 0.00018475409228928312,
|
| 134 |
-
"loss": 0.
|
| 135 |
"step": 85
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 0.28,
|
| 139 |
-
"grad_norm": 0.
|
| 140 |
"learning_rate": 0.00018177783622700327,
|
| 141 |
"loss": 0.7754,
|
| 142 |
"step": 90
|
| 143 |
},
|
| 144 |
{
|
| 145 |
"epoch": 0.29,
|
| 146 |
-
"grad_norm": 0.
|
| 147 |
"learning_rate": 0.00017856498550787144,
|
| 148 |
-
"loss": 0.
|
| 149 |
"step": 95
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.31,
|
| 153 |
-
"grad_norm": 0.
|
| 154 |
"learning_rate": 0.00017512483535597867,
|
| 155 |
-
"loss": 0.
|
| 156 |
"step": 100
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"epoch": 0.32,
|
| 160 |
-
"grad_norm": 0.
|
| 161 |
"learning_rate": 0.00017146733860429612,
|
| 162 |
-
"loss": 0.
|
| 163 |
"step": 105
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 0.34,
|
| 167 |
-
"grad_norm": 0.
|
| 168 |
"learning_rate": 0.0001676030768997445,
|
| 169 |
-
"loss": 0.
|
| 170 |
"step": 110
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.35,
|
| 174 |
-
"grad_norm": 0.
|
| 175 |
"learning_rate": 0.00016354323008901776,
|
| 176 |
"loss": 0.7499,
|
| 177 |
"step": 115
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 0.37,
|
| 181 |
-
"grad_norm": 0.
|
| 182 |
"learning_rate": 0.00015929954387373103,
|
| 183 |
-
"loss": 0.
|
| 184 |
"step": 120
|
| 185 |
},
|
| 186 |
{
|
| 187 |
"epoch": 0.38,
|
| 188 |
-
"grad_norm": 0.
|
| 189 |
"learning_rate": 0.00015488429582847192,
|
| 190 |
-
"loss": 0.
|
| 191 |
"step": 125
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 0.4,
|
| 195 |
-
"grad_norm": 0.
|
| 196 |
"learning_rate": 0.00015031025988006936,
|
| 197 |
-
"loss": 0.
|
| 198 |
"step": 130
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 0.42,
|
| 202 |
-
"grad_norm": 0.
|
| 203 |
"learning_rate": 0.00014559066935084588,
|
| 204 |
-
"loss": 0.
|
| 205 |
"step": 135
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.43,
|
| 209 |
-
"grad_norm": 0.
|
| 210 |
"learning_rate": 0.00014073917867277557,
|
| 211 |
-
"loss": 0.
|
| 212 |
"step": 140
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 0.45,
|
| 216 |
-
"grad_norm": 0.
|
| 217 |
"learning_rate": 0.0001357698238833126,
|
| 218 |
-
"loss": 0.
|
| 219 |
"step": 145
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 0.46,
|
| 223 |
-
"grad_norm": 0.
|
| 224 |
"learning_rate": 0.000130696982017182,
|
| 225 |
"loss": 0.7349,
|
| 226 |
"step": 150
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 0.48,
|
| 230 |
-
"grad_norm": 0.
|
| 231 |
"learning_rate": 0.0001255353295116187,
|
| 232 |
-
"loss": 0.
|
| 233 |
"step": 155
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 0.49,
|
| 237 |
-
"grad_norm": 0.
|
| 238 |
"learning_rate": 0.00012029979974539234,
|
| 239 |
"loss": 0.7428,
|
| 240 |
"step": 160
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 0.51,
|
| 244 |
-
"grad_norm": 0.
|
| 245 |
"learning_rate": 0.00011500553983446527,
|
| 246 |
-
"loss": 0.
|
| 247 |
"step": 165
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 0.52,
|
| 251 |
-
"grad_norm": 0.
|
| 252 |
"learning_rate": 0.00010966786680927874,
|
| 253 |
-
"loss": 0.
|
| 254 |
"step": 170
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 0.54,
|
| 258 |
-
"grad_norm": 0.
|
| 259 |
"learning_rate": 0.00010430222330045304,
|
| 260 |
-
"loss": 0.
|
| 261 |
"step": 175
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 0.55,
|
| 265 |
-
"grad_norm": 0.
|
| 266 |
"learning_rate": 9.892413286110886e-05,
|
| 267 |
-
"loss": 0.
|
| 268 |
"step": 180
|
| 269 |
},
|
| 270 |
{
|
| 271 |
"epoch": 0.57,
|
| 272 |
-
"grad_norm": 0.
|
| 273 |
"learning_rate": 9.354915505506839e-05,
|
| 274 |
-
"loss": 0.
|
| 275 |
"step": 185
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"epoch": 0.58,
|
| 279 |
-
"grad_norm": 0.
|
| 280 |
"learning_rate": 8.81928404408726e-05,
|
| 281 |
-
"loss": 0.
|
| 282 |
"step": 190
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 0.6,
|
| 286 |
-
"grad_norm": 0.
|
| 287 |
"learning_rate": 8.287068558185225e-05,
|
| 288 |
"loss": 0.785,
|
| 289 |
"step": 195
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.62,
|
| 293 |
-
"grad_norm": 0.
|
| 294 |
"learning_rate": 7.759808821241406e-05,
|
| 295 |
-
"loss": 0.
|
| 296 |
"step": 200
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 0.63,
|
| 300 |
-
"grad_norm": 0.
|
| 301 |
"learning_rate": 7.239030269025311e-05,
|
| 302 |
-
"loss": 0.
|
| 303 |
"step": 205
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"epoch": 0.65,
|
| 307 |
-
"grad_norm": 0.
|
| 308 |
"learning_rate": 6.726239586337408e-05,
|
| 309 |
"loss": 0.76,
|
| 310 |
"step": 210
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 0.66,
|
| 314 |
-
"grad_norm": 0.
|
| 315 |
"learning_rate": 6.22292034796035e-05,
|
| 316 |
-
"loss": 0.
|
| 317 |
"step": 215
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 0.68,
|
| 321 |
-
"grad_norm": 0.
|
| 322 |
"learning_rate": 5.730528726470792e-05,
|
| 323 |
-
"loss": 0.
|
| 324 |
"step": 220
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.69,
|
| 328 |
-
"grad_norm": 0.
|
| 329 |
"learning_rate": 5.2504892793295e-05,
|
| 330 |
-
"loss": 0.
|
| 331 |
"step": 225
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 0.71,
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
"learning_rate": 4.7841908274384616e-05,
|
| 337 |
-
"loss": 0.
|
| 338 |
"step": 230
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 0.72,
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
"learning_rate": 4.332982437088825e-05,
|
| 344 |
-
"loss": 0.
|
| 345 |
"step": 235
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"epoch": 0.74,
|
| 349 |
-
"grad_norm": 0.
|
| 350 |
"learning_rate": 3.898169516924398e-05,
|
| 351 |
-
"loss": 0.
|
| 352 |
"step": 240
|
| 353 |
},
|
| 354 |
{
|
| 355 |
"epoch": 0.75,
|
| 356 |
-
"grad_norm": 0.
|
| 357 |
"learning_rate": 3.4810100412128747e-05,
|
| 358 |
-
"loss": 0.
|
| 359 |
"step": 245
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 0.77,
|
| 363 |
-
"grad_norm": 0.
|
| 364 |
"learning_rate": 3.0827109103512643e-05,
|
| 365 |
"loss": 0.7669,
|
| 366 |
"step": 250
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 0.78,
|
| 370 |
-
"grad_norm": 0.
|
| 371 |
"learning_rate": 2.7044244591351232e-05,
|
| 372 |
-
"loss": 0.
|
| 373 |
"step": 255
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"epoch": 0.8,
|
| 377 |
-
"grad_norm": 0.
|
| 378 |
"learning_rate": 2.3472451228937253e-05,
|
| 379 |
-
"loss": 0.
|
| 380 |
"step": 260
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"epoch": 0.82,
|
| 384 |
-
"grad_norm": 0.
|
| 385 |
"learning_rate": 2.0122062711363532e-05,
|
| 386 |
-
"loss": 0.
|
| 387 |
"step": 265
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 0.83,
|
| 391 |
-
"grad_norm": 0.
|
| 392 |
"learning_rate": 1.7002772178705716e-05,
|
| 393 |
-
"loss": 0.
|
| 394 |
"step": 270
|
| 395 |
},
|
| 396 |
{
|
| 397 |
"epoch": 0.85,
|
| 398 |
-
"grad_norm": 0.
|
| 399 |
"learning_rate": 1.4123604172419713e-05,
|
| 400 |
-
"loss": 0.
|
| 401 |
"step": 275
|
| 402 |
},
|
| 403 |
{
|
| 404 |
"epoch": 0.86,
|
| 405 |
-
"grad_norm": 0.
|
| 406 |
"learning_rate": 1.149288852608743e-05,
|
| 407 |
"loss": 0.7558,
|
| 408 |
"step": 280
|
| 409 |
},
|
| 410 |
{
|
| 411 |
"epoch": 0.88,
|
| 412 |
-
"grad_norm": 0.
|
| 413 |
"learning_rate": 9.118236266049707e-06,
|
| 414 |
-
"loss": 0.
|
| 415 |
"step": 285
|
| 416 |
},
|
| 417 |
{
|
| 418 |
"epoch": 0.89,
|
| 419 |
-
"grad_norm": 0.
|
| 420 |
"learning_rate": 7.0065175916482095e-06,
|
| 421 |
-
"loss": 0.
|
| 422 |
"step": 290
|
| 423 |
},
|
| 424 |
{
|
| 425 |
"epoch": 0.91,
|
| 426 |
-
"grad_norm": 0.
|
| 427 |
"learning_rate": 5.163841998782837e-06,
|
| 428 |
-
"loss": 0.
|
| 429 |
"step": 295
|
| 430 |
},
|
| 431 |
{
|
| 432 |
"epoch": 0.92,
|
| 433 |
-
"grad_norm": 0.
|
| 434 |
"learning_rate": 3.595540604290437e-06,
|
| 435 |
-
"loss": 0.
|
| 436 |
"step": 300
|
| 437 |
},
|
| 438 |
{
|
| 439 |
"epoch": 0.94,
|
| 440 |
-
"grad_norm": 0.
|
| 441 |
"learning_rate": 2.30615072228183e-06,
|
| 442 |
-
"loss": 0.
|
| 443 |
"step": 305
|
| 444 |
},
|
| 445 |
{
|
| 446 |
"epoch": 0.95,
|
| 447 |
-
"grad_norm": 0.
|
| 448 |
"learning_rate": 1.2994027370611173e-06,
|
| 449 |
-
"loss": 0.
|
| 450 |
"step": 310
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"epoch": 0.97,
|
| 454 |
-
"grad_norm": 0.
|
| 455 |
"learning_rate": 5.782093106048159e-07,
|
| 456 |
"loss": 0.7366,
|
| 457 |
"step": 315
|
| 458 |
},
|
| 459 |
{
|
| 460 |
"epoch": 0.98,
|
| 461 |
-
"grad_norm": 0.
|
| 462 |
"learning_rate": 1.446569558255395e-07,
|
| 463 |
-
"loss": 0.
|
| 464 |
"step": 320
|
| 465 |
},
|
| 466 |
{
|
| 467 |
"epoch": 1.0,
|
| 468 |
-
"grad_norm": 0.
|
| 469 |
"learning_rate": 0.0,
|
| 470 |
-
"loss": 0.
|
| 471 |
"step": 325
|
| 472 |
},
|
| 473 |
{
|
| 474 |
"epoch": 1.0,
|
| 475 |
-
"eval_loss": 0.
|
| 476 |
-
"eval_runtime":
|
| 477 |
-
"eval_samples_per_second": 4.
|
| 478 |
-
"eval_steps_per_second": 0.
|
| 479 |
"step": 325
|
| 480 |
},
|
| 481 |
{
|
| 482 |
"epoch": 1.0,
|
| 483 |
"step": 325,
|
| 484 |
-
"total_flos":
|
| 485 |
-
"train_loss": 0.
|
| 486 |
-
"train_runtime":
|
| 487 |
-
"train_samples_per_second":
|
| 488 |
-
"train_steps_per_second": 0.
|
| 489 |
}
|
| 490 |
],
|
| 491 |
"logging_steps": 5,
|
|
@@ -493,7 +493,7 @@
|
|
| 493 |
"num_input_tokens_seen": 0,
|
| 494 |
"num_train_epochs": 1,
|
| 495 |
"save_steps": 100,
|
| 496 |
-
"total_flos":
|
| 497 |
"train_batch_size": 8,
|
| 498 |
"trial_name": null,
|
| 499 |
"trial_params": null
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.0,
|
| 13 |
+
"grad_norm": 0.26868827253641747,
|
| 14 |
"learning_rate": 6.060606060606061e-06,
|
| 15 |
"loss": 0.7782,
|
| 16 |
"step": 1
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.02,
|
| 20 |
+
"grad_norm": 0.21382632169384555,
|
| 21 |
"learning_rate": 3.0303030303030306e-05,
|
| 22 |
+
"loss": 0.7798,
|
| 23 |
"step": 5
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.03,
|
| 27 |
+
"grad_norm": 0.22445606867737244,
|
| 28 |
"learning_rate": 6.060606060606061e-05,
|
| 29 |
"loss": 0.7851,
|
| 30 |
"step": 10
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.05,
|
| 34 |
+
"grad_norm": 0.2072105558411773,
|
| 35 |
"learning_rate": 9.090909090909092e-05,
|
| 36 |
+
"loss": 0.7855,
|
| 37 |
"step": 15
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.06,
|
| 41 |
+
"grad_norm": 0.17995218448427217,
|
| 42 |
"learning_rate": 0.00012121212121212122,
|
| 43 |
+
"loss": 0.792,
|
| 44 |
"step": 20
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.08,
|
| 48 |
+
"grad_norm": 0.226508952573423,
|
| 49 |
"learning_rate": 0.00015151515151515152,
|
| 50 |
+
"loss": 0.7382,
|
| 51 |
"step": 25
|
| 52 |
},
|
| 53 |
{
|
| 54 |
"epoch": 0.09,
|
| 55 |
+
"grad_norm": 0.18958014075029098,
|
| 56 |
"learning_rate": 0.00018181818181818183,
|
| 57 |
+
"loss": 0.7419,
|
| 58 |
"step": 30
|
| 59 |
},
|
| 60 |
{
|
| 61 |
"epoch": 0.11,
|
| 62 |
+
"grad_norm": 0.19949889749656097,
|
| 63 |
"learning_rate": 0.00019997685019798912,
|
| 64 |
+
"loss": 0.7642,
|
| 65 |
"step": 35
|
| 66 |
},
|
| 67 |
{
|
| 68 |
"epoch": 0.12,
|
| 69 |
+
"grad_norm": 0.19567934772580736,
|
| 70 |
"learning_rate": 0.0001997165380022878,
|
| 71 |
"loss": 0.7607,
|
| 72 |
"step": 40
|
| 73 |
},
|
| 74 |
{
|
| 75 |
"epoch": 0.14,
|
| 76 |
+
"grad_norm": 0.18969776374927835,
|
| 77 |
"learning_rate": 0.000199167731989929,
|
| 78 |
+
"loss": 0.795,
|
| 79 |
"step": 45
|
| 80 |
},
|
| 81 |
{
|
| 82 |
"epoch": 0.15,
|
| 83 |
+
"grad_norm": 0.1942706799722158,
|
| 84 |
"learning_rate": 0.0001983320199330545,
|
| 85 |
+
"loss": 0.764,
|
| 86 |
"step": 50
|
| 87 |
},
|
| 88 |
{
|
| 89 |
"epoch": 0.17,
|
| 90 |
+
"grad_norm": 0.19464988909031225,
|
| 91 |
"learning_rate": 0.00019721181966290613,
|
| 92 |
+
"loss": 0.7836,
|
| 93 |
"step": 55
|
| 94 |
},
|
| 95 |
{
|
| 96 |
"epoch": 0.18,
|
| 97 |
+
"grad_norm": 0.1849352970071158,
|
| 98 |
"learning_rate": 0.00019581037207470382,
|
| 99 |
+
"loss": 0.757,
|
| 100 |
"step": 60
|
| 101 |
},
|
| 102 |
{
|
| 103 |
"epoch": 0.2,
|
| 104 |
+
"grad_norm": 0.17976128059849958,
|
| 105 |
"learning_rate": 0.00019413173175128473,
|
| 106 |
+
"loss": 0.7616,
|
| 107 |
"step": 65
|
| 108 |
},
|
| 109 |
{
|
| 110 |
"epoch": 0.22,
|
| 111 |
+
"grad_norm": 0.1934718609207969,
|
| 112 |
"learning_rate": 0.00019218075523263104,
|
| 113 |
+
"loss": 0.7538,
|
| 114 |
"step": 70
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 0.23,
|
| 118 |
+
"grad_norm": 0.16955946612078765,
|
| 119 |
"learning_rate": 0.00018996308696522433,
|
| 120 |
"loss": 0.7617,
|
| 121 |
"step": 75
|
| 122 |
},
|
| 123 |
{
|
| 124 |
"epoch": 0.25,
|
| 125 |
+
"grad_norm": 0.19860710500579018,
|
| 126 |
"learning_rate": 0.00018748514297187648,
|
| 127 |
"loss": 0.7995,
|
| 128 |
"step": 80
|
| 129 |
},
|
| 130 |
{
|
| 131 |
"epoch": 0.26,
|
| 132 |
+
"grad_norm": 0.17834039868116905,
|
| 133 |
"learning_rate": 0.00018475409228928312,
|
| 134 |
+
"loss": 0.7539,
|
| 135 |
"step": 85
|
| 136 |
},
|
| 137 |
{
|
| 138 |
"epoch": 0.28,
|
| 139 |
+
"grad_norm": 0.1889302979453787,
|
| 140 |
"learning_rate": 0.00018177783622700327,
|
| 141 |
"loss": 0.7754,
|
| 142 |
"step": 90
|
| 143 |
},
|
| 144 |
{
|
| 145 |
"epoch": 0.29,
|
| 146 |
+
"grad_norm": 0.17928302611917235,
|
| 147 |
"learning_rate": 0.00017856498550787144,
|
| 148 |
+
"loss": 0.7924,
|
| 149 |
"step": 95
|
| 150 |
},
|
| 151 |
{
|
| 152 |
"epoch": 0.31,
|
| 153 |
+
"grad_norm": 0.18965987325021239,
|
| 154 |
"learning_rate": 0.00017512483535597867,
|
| 155 |
+
"loss": 0.7547,
|
| 156 |
"step": 100
|
| 157 |
},
|
| 158 |
{
|
| 159 |
"epoch": 0.32,
|
| 160 |
+
"grad_norm": 0.16948470382160882,
|
| 161 |
"learning_rate": 0.00017146733860429612,
|
| 162 |
+
"loss": 0.7755,
|
| 163 |
"step": 105
|
| 164 |
},
|
| 165 |
{
|
| 166 |
"epoch": 0.34,
|
| 167 |
+
"grad_norm": 0.20373009441973453,
|
| 168 |
"learning_rate": 0.0001676030768997445,
|
| 169 |
+
"loss": 0.7452,
|
| 170 |
"step": 110
|
| 171 |
},
|
| 172 |
{
|
| 173 |
"epoch": 0.35,
|
| 174 |
+
"grad_norm": 0.18030063668475196,
|
| 175 |
"learning_rate": 0.00016354323008901776,
|
| 176 |
"loss": 0.7499,
|
| 177 |
"step": 115
|
| 178 |
},
|
| 179 |
{
|
| 180 |
"epoch": 0.37,
|
| 181 |
+
"grad_norm": 0.16132188005262432,
|
| 182 |
"learning_rate": 0.00015929954387373103,
|
| 183 |
+
"loss": 0.7344,
|
| 184 |
"step": 120
|
| 185 |
},
|
| 186 |
{
|
| 187 |
"epoch": 0.38,
|
| 188 |
+
"grad_norm": 0.2014655387761585,
|
| 189 |
"learning_rate": 0.00015488429582847192,
|
| 190 |
+
"loss": 0.7909,
|
| 191 |
"step": 125
|
| 192 |
},
|
| 193 |
{
|
| 194 |
"epoch": 0.4,
|
| 195 |
+
"grad_norm": 0.19701253442033323,
|
| 196 |
"learning_rate": 0.00015031025988006936,
|
| 197 |
+
"loss": 0.7846,
|
| 198 |
"step": 130
|
| 199 |
},
|
| 200 |
{
|
| 201 |
"epoch": 0.42,
|
| 202 |
+
"grad_norm": 0.18599715688382074,
|
| 203 |
"learning_rate": 0.00014559066935084588,
|
| 204 |
+
"loss": 0.7884,
|
| 205 |
"step": 135
|
| 206 |
},
|
| 207 |
{
|
| 208 |
"epoch": 0.43,
|
| 209 |
+
"grad_norm": 0.15916898081839567,
|
| 210 |
"learning_rate": 0.00014073917867277557,
|
| 211 |
+
"loss": 0.7478,
|
| 212 |
"step": 140
|
| 213 |
},
|
| 214 |
{
|
| 215 |
"epoch": 0.45,
|
| 216 |
+
"grad_norm": 0.1693289847957747,
|
| 217 |
"learning_rate": 0.0001357698238833126,
|
| 218 |
+
"loss": 0.758,
|
| 219 |
"step": 145
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 0.46,
|
| 223 |
+
"grad_norm": 0.1724296952005482,
|
| 224 |
"learning_rate": 0.000130696982017182,
|
| 225 |
"loss": 0.7349,
|
| 226 |
"step": 150
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 0.48,
|
| 230 |
+
"grad_norm": 0.20365543265357713,
|
| 231 |
"learning_rate": 0.0001255353295116187,
|
| 232 |
+
"loss": 0.7581,
|
| 233 |
"step": 155
|
| 234 |
},
|
| 235 |
{
|
| 236 |
"epoch": 0.49,
|
| 237 |
+
"grad_norm": 0.17925645984310104,
|
| 238 |
"learning_rate": 0.00012029979974539234,
|
| 239 |
"loss": 0.7428,
|
| 240 |
"step": 160
|
| 241 |
},
|
| 242 |
{
|
| 243 |
"epoch": 0.51,
|
| 244 |
+
"grad_norm": 0.1849261223570645,
|
| 245 |
"learning_rate": 0.00011500553983446527,
|
| 246 |
+
"loss": 0.7915,
|
| 247 |
"step": 165
|
| 248 |
},
|
| 249 |
{
|
| 250 |
"epoch": 0.52,
|
| 251 |
+
"grad_norm": 0.17147514694965366,
|
| 252 |
"learning_rate": 0.00010966786680927874,
|
| 253 |
+
"loss": 0.7282,
|
| 254 |
"step": 170
|
| 255 |
},
|
| 256 |
{
|
| 257 |
"epoch": 0.54,
|
| 258 |
+
"grad_norm": 0.19718678657625408,
|
| 259 |
"learning_rate": 0.00010430222330045304,
|
| 260 |
+
"loss": 0.7807,
|
| 261 |
"step": 175
|
| 262 |
},
|
| 263 |
{
|
| 264 |
"epoch": 0.55,
|
| 265 |
+
"grad_norm": 0.1697756132509757,
|
| 266 |
"learning_rate": 9.892413286110886e-05,
|
| 267 |
+
"loss": 0.7522,
|
| 268 |
"step": 180
|
| 269 |
},
|
| 270 |
{
|
| 271 |
"epoch": 0.57,
|
| 272 |
+
"grad_norm": 0.1745926097752596,
|
| 273 |
"learning_rate": 9.354915505506839e-05,
|
| 274 |
+
"loss": 0.7656,
|
| 275 |
"step": 185
|
| 276 |
},
|
| 277 |
{
|
| 278 |
"epoch": 0.58,
|
| 279 |
+
"grad_norm": 0.17991554784663008,
|
| 280 |
"learning_rate": 8.81928404408726e-05,
|
| 281 |
+
"loss": 0.7425,
|
| 282 |
"step": 190
|
| 283 |
},
|
| 284 |
{
|
| 285 |
"epoch": 0.6,
|
| 286 |
+
"grad_norm": 0.1638975774298517,
|
| 287 |
"learning_rate": 8.287068558185225e-05,
|
| 288 |
"loss": 0.785,
|
| 289 |
"step": 195
|
| 290 |
},
|
| 291 |
{
|
| 292 |
"epoch": 0.62,
|
| 293 |
+
"grad_norm": 0.1721376274882642,
|
| 294 |
"learning_rate": 7.759808821241406e-05,
|
| 295 |
+
"loss": 0.747,
|
| 296 |
"step": 200
|
| 297 |
},
|
| 298 |
{
|
| 299 |
"epoch": 0.63,
|
| 300 |
+
"grad_norm": 0.16645909181505114,
|
| 301 |
"learning_rate": 7.239030269025311e-05,
|
| 302 |
+
"loss": 0.7436,
|
| 303 |
"step": 205
|
| 304 |
},
|
| 305 |
{
|
| 306 |
"epoch": 0.65,
|
| 307 |
+
"grad_norm": 0.17668278165163676,
|
| 308 |
"learning_rate": 6.726239586337408e-05,
|
| 309 |
"loss": 0.76,
|
| 310 |
"step": 210
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 0.66,
|
| 314 |
+
"grad_norm": 0.1592821063866204,
|
| 315 |
"learning_rate": 6.22292034796035e-05,
|
| 316 |
+
"loss": 0.7532,
|
| 317 |
"step": 215
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 0.68,
|
| 321 |
+
"grad_norm": 0.18211269157973645,
|
| 322 |
"learning_rate": 5.730528726470792e-05,
|
| 323 |
+
"loss": 0.7684,
|
| 324 |
"step": 220
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.69,
|
| 328 |
+
"grad_norm": 0.1611844005218168,
|
| 329 |
"learning_rate": 5.2504892793295e-05,
|
| 330 |
+
"loss": 0.7432,
|
| 331 |
"step": 225
|
| 332 |
},
|
| 333 |
{
|
| 334 |
"epoch": 0.71,
|
| 335 |
+
"grad_norm": 0.1770721524356504,
|
| 336 |
"learning_rate": 4.7841908274384616e-05,
|
| 337 |
+
"loss": 0.7719,
|
| 338 |
"step": 230
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 0.72,
|
| 342 |
+
"grad_norm": 0.17458138059176753,
|
| 343 |
"learning_rate": 4.332982437088825e-05,
|
| 344 |
+
"loss": 0.7153,
|
| 345 |
"step": 235
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"epoch": 0.74,
|
| 349 |
+
"grad_norm": 0.1764916869298734,
|
| 350 |
"learning_rate": 3.898169516924398e-05,
|
| 351 |
+
"loss": 0.7509,
|
| 352 |
"step": 240
|
| 353 |
},
|
| 354 |
{
|
| 355 |
"epoch": 0.75,
|
| 356 |
+
"grad_norm": 0.17474182112370204,
|
| 357 |
"learning_rate": 3.4810100412128747e-05,
|
| 358 |
+
"loss": 0.7562,
|
| 359 |
"step": 245
|
| 360 |
},
|
| 361 |
{
|
| 362 |
"epoch": 0.77,
|
| 363 |
+
"grad_norm": 0.1741562771880736,
|
| 364 |
"learning_rate": 3.0827109103512643e-05,
|
| 365 |
"loss": 0.7669,
|
| 366 |
"step": 250
|
| 367 |
},
|
| 368 |
{
|
| 369 |
"epoch": 0.78,
|
| 370 |
+
"grad_norm": 0.17549490206623847,
|
| 371 |
"learning_rate": 2.7044244591351232e-05,
|
| 372 |
+
"loss": 0.7592,
|
| 373 |
"step": 255
|
| 374 |
},
|
| 375 |
{
|
| 376 |
"epoch": 0.8,
|
| 377 |
+
"grad_norm": 0.16399003172635285,
|
| 378 |
"learning_rate": 2.3472451228937253e-05,
|
| 379 |
+
"loss": 0.7396,
|
| 380 |
"step": 260
|
| 381 |
},
|
| 382 |
{
|
| 383 |
"epoch": 0.82,
|
| 384 |
+
"grad_norm": 0.1713214529866966,
|
| 385 |
"learning_rate": 2.0122062711363532e-05,
|
| 386 |
+
"loss": 0.7766,
|
| 387 |
"step": 265
|
| 388 |
},
|
| 389 |
{
|
| 390 |
"epoch": 0.83,
|
| 391 |
+
"grad_norm": 0.17574824064745212,
|
| 392 |
"learning_rate": 1.7002772178705716e-05,
|
| 393 |
+
"loss": 0.7329,
|
| 394 |
"step": 270
|
| 395 |
},
|
| 396 |
{
|
| 397 |
"epoch": 0.85,
|
| 398 |
+
"grad_norm": 0.16897840325162736,
|
| 399 |
"learning_rate": 1.4123604172419713e-05,
|
| 400 |
+
"loss": 0.7723,
|
| 401 |
"step": 275
|
| 402 |
},
|
| 403 |
{
|
| 404 |
"epoch": 0.86,
|
| 405 |
+
"grad_norm": 0.18239238197655358,
|
| 406 |
"learning_rate": 1.149288852608743e-05,
|
| 407 |
"loss": 0.7558,
|
| 408 |
"step": 280
|
| 409 |
},
|
| 410 |
{
|
| 411 |
"epoch": 0.88,
|
| 412 |
+
"grad_norm": 0.16446806582557563,
|
| 413 |
"learning_rate": 9.118236266049707e-06,
|
| 414 |
+
"loss": 0.731,
|
| 415 |
"step": 285
|
| 416 |
},
|
| 417 |
{
|
| 418 |
"epoch": 0.89,
|
| 419 |
+
"grad_norm": 0.17024389183471494,
|
| 420 |
"learning_rate": 7.0065175916482095e-06,
|
| 421 |
+
"loss": 0.7599,
|
| 422 |
"step": 290
|
| 423 |
},
|
| 424 |
{
|
| 425 |
"epoch": 0.91,
|
| 426 |
+
"grad_norm": 0.15264356146830035,
|
| 427 |
"learning_rate": 5.163841998782837e-06,
|
| 428 |
+
"loss": 0.7644,
|
| 429 |
"step": 295
|
| 430 |
},
|
| 431 |
{
|
| 432 |
"epoch": 0.92,
|
| 433 |
+
"grad_norm": 0.16324609453084554,
|
| 434 |
"learning_rate": 3.595540604290437e-06,
|
| 435 |
+
"loss": 0.7581,
|
| 436 |
"step": 300
|
| 437 |
},
|
| 438 |
{
|
| 439 |
"epoch": 0.94,
|
| 440 |
+
"grad_norm": 0.1710138375738759,
|
| 441 |
"learning_rate": 2.30615072228183e-06,
|
| 442 |
+
"loss": 0.7332,
|
| 443 |
"step": 305
|
| 444 |
},
|
| 445 |
{
|
| 446 |
"epoch": 0.95,
|
| 447 |
+
"grad_norm": 0.1611044475082952,
|
| 448 |
"learning_rate": 1.2994027370611173e-06,
|
| 449 |
+
"loss": 0.7627,
|
| 450 |
"step": 310
|
| 451 |
},
|
| 452 |
{
|
| 453 |
"epoch": 0.97,
|
| 454 |
+
"grad_norm": 0.1514646487097857,
|
| 455 |
"learning_rate": 5.782093106048159e-07,
|
| 456 |
"loss": 0.7366,
|
| 457 |
"step": 315
|
| 458 |
},
|
| 459 |
{
|
| 460 |
"epoch": 0.98,
|
| 461 |
+
"grad_norm": 0.17261842858442877,
|
| 462 |
"learning_rate": 1.446569558255395e-07,
|
| 463 |
+
"loss": 0.7436,
|
| 464 |
"step": 320
|
| 465 |
},
|
| 466 |
{
|
| 467 |
"epoch": 1.0,
|
| 468 |
+
"grad_norm": 0.16882560969081586,
|
| 469 |
"learning_rate": 0.0,
|
| 470 |
+
"loss": 0.7491,
|
| 471 |
"step": 325
|
| 472 |
},
|
| 473 |
{
|
| 474 |
"epoch": 1.0,
|
| 475 |
+
"eval_loss": 0.7773829698562622,
|
| 476 |
+
"eval_runtime": 46.5077,
|
| 477 |
+
"eval_samples_per_second": 4.967,
|
| 478 |
+
"eval_steps_per_second": 0.172,
|
| 479 |
"step": 325
|
| 480 |
},
|
| 481 |
{
|
| 482 |
"epoch": 1.0,
|
| 483 |
"step": 325,
|
| 484 |
+
"total_flos": 4962652747988992.0,
|
| 485 |
+
"train_loss": 0.7601131853690514,
|
| 486 |
+
"train_runtime": 11993.6222,
|
| 487 |
+
"train_samples_per_second": 1.733,
|
| 488 |
+
"train_steps_per_second": 0.027
|
| 489 |
}
|
| 490 |
],
|
| 491 |
"logging_steps": 5,
|
|
|
|
| 493 |
"num_input_tokens_seen": 0,
|
| 494 |
"num_train_epochs": 1,
|
| 495 |
"save_steps": 100,
|
| 496 |
+
"total_flos": 4962652747988992.0,
|
| 497 |
"train_batch_size": 8,
|
| 498 |
"trial_name": null,
|
| 499 |
"trial_params": null
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6072
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:971a709049ccad23c89c4e6cee01ec3eb6463ee0f5a631966b03929525be0f01
|
| 3 |
size 6072
|