Instructions to use dimasik2987/4bdd484a-3e63-4ba5-b86a-5dca922ef9e2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dimasik2987/4bdd484a-3e63-4ba5-b86a-5dca922ef9e2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Hermes-2-Pro-Llama-3-8B") model = PeftModel.from_pretrained(base_model, "dimasik2987/4bdd484a-3e63-4ba5-b86a-5dca922ef9e2") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, checkpoint
Browse files
last-checkpoint/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 167832240
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53b2d1a8e9ca4c511cdc1e6fee9b93ac287908b72c782ba2512d94a16d0bef87
|
| 3 |
size 167832240
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 335922386
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7a8a35651c1e0f486544d82912d9abd79f21b1d8e3e3a31b0a54ca9430b9f8a9
|
| 3 |
size 335922386
|
last-checkpoint/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d1aefd6b5cb7ab5293be3b57c5a81d7e2a62b44d9e7b6cc213897ed1dd28dec5
|
| 3 |
size 14244
|
last-checkpoint/scheduler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1064
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e69e2b49ea642509f0c688c16fb190b7cf27dac0a18903a5e2d1467d0343d8b8
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -182,6 +182,181 @@
|
|
| 182 |
"learning_rate": 0.00010654031292301432,
|
| 183 |
"loss": 1.6203,
|
| 184 |
"step": 25
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
}
|
| 186 |
],
|
| 187 |
"logging_steps": 1,
|
|
@@ -196,12 +371,12 @@
|
|
| 196 |
"should_evaluate": false,
|
| 197 |
"should_log": false,
|
| 198 |
"should_save": true,
|
| 199 |
-
"should_training_stop":
|
| 200 |
},
|
| 201 |
"attributes": {}
|
| 202 |
}
|
| 203 |
},
|
| 204 |
-
"total_flos":
|
| 205 |
"train_batch_size": 2,
|
| 206 |
"trial_name": null,
|
| 207 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.004239219135835179,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 50,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 182 |
"learning_rate": 0.00010654031292301432,
|
| 183 |
"loss": 1.6203,
|
| 184 |
"step": 25
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"epoch": 0.0022043939506342933,
|
| 188 |
+
"grad_norm": 5.318032264709473,
|
| 189 |
+
"learning_rate": 0.0001,
|
| 190 |
+
"loss": 1.2805,
|
| 191 |
+
"step": 26
|
| 192 |
+
},
|
| 193 |
+
{
|
| 194 |
+
"epoch": 0.0022891783333509968,
|
| 195 |
+
"grad_norm": 6.56615686416626,
|
| 196 |
+
"learning_rate": 9.345968707698569e-05,
|
| 197 |
+
"loss": 0.7687,
|
| 198 |
+
"step": 27
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"epoch": 0.0023739627160677002,
|
| 202 |
+
"grad_norm": 6.601612091064453,
|
| 203 |
+
"learning_rate": 8.694738077799488e-05,
|
| 204 |
+
"loss": 0.9514,
|
| 205 |
+
"step": 28
|
| 206 |
+
},
|
| 207 |
+
{
|
| 208 |
+
"epoch": 0.002458747098784404,
|
| 209 |
+
"grad_norm": 8.648096084594727,
|
| 210 |
+
"learning_rate": 8.049096779838719e-05,
|
| 211 |
+
"loss": 1.7966,
|
| 212 |
+
"step": 29
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.0025435314815011076,
|
| 216 |
+
"grad_norm": 9.545267105102539,
|
| 217 |
+
"learning_rate": 7.411809548974792e-05,
|
| 218 |
+
"loss": 1.7292,
|
| 219 |
+
"step": 30
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.002628315864217811,
|
| 223 |
+
"grad_norm": 7.909492015838623,
|
| 224 |
+
"learning_rate": 6.785605346968386e-05,
|
| 225 |
+
"loss": 1.9538,
|
| 226 |
+
"step": 31
|
| 227 |
+
},
|
| 228 |
+
{
|
| 229 |
+
"epoch": 0.0027131002469345145,
|
| 230 |
+
"grad_norm": 6.8322367668151855,
|
| 231 |
+
"learning_rate": 6.173165676349103e-05,
|
| 232 |
+
"loss": 1.1442,
|
| 233 |
+
"step": 32
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"epoch": 0.0027978846296512184,
|
| 237 |
+
"grad_norm": 6.240336894989014,
|
| 238 |
+
"learning_rate": 5.577113097809989e-05,
|
| 239 |
+
"loss": 0.9339,
|
| 240 |
+
"step": 33
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.002882669012367922,
|
| 244 |
+
"grad_norm": 8.01297378540039,
|
| 245 |
+
"learning_rate": 5.000000000000002e-05,
|
| 246 |
+
"loss": 1.525,
|
| 247 |
+
"step": 34
|
| 248 |
+
},
|
| 249 |
+
{
|
| 250 |
+
"epoch": 0.0029674533950846253,
|
| 251 |
+
"grad_norm": 8.416840553283691,
|
| 252 |
+
"learning_rate": 4.444297669803981e-05,
|
| 253 |
+
"loss": 1.7266,
|
| 254 |
+
"step": 35
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.003052237777801329,
|
| 258 |
+
"grad_norm": 6.560504913330078,
|
| 259 |
+
"learning_rate": 3.9123857099127936e-05,
|
| 260 |
+
"loss": 0.9834,
|
| 261 |
+
"step": 36
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.0031370221605180326,
|
| 265 |
+
"grad_norm": 6.503190994262695,
|
| 266 |
+
"learning_rate": 3.406541848999312e-05,
|
| 267 |
+
"loss": 1.364,
|
| 268 |
+
"step": 37
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"epoch": 0.003221806543234736,
|
| 272 |
+
"grad_norm": 8.527243614196777,
|
| 273 |
+
"learning_rate": 2.9289321881345254e-05,
|
| 274 |
+
"loss": 1.5102,
|
| 275 |
+
"step": 38
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"epoch": 0.0033065909259514395,
|
| 279 |
+
"grad_norm": 8.381340026855469,
|
| 280 |
+
"learning_rate": 2.4816019252102273e-05,
|
| 281 |
+
"loss": 1.4996,
|
| 282 |
+
"step": 39
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"epoch": 0.0033913753086681434,
|
| 286 |
+
"grad_norm": 10.311125755310059,
|
| 287 |
+
"learning_rate": 2.0664665970876496e-05,
|
| 288 |
+
"loss": 1.665,
|
| 289 |
+
"step": 40
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"epoch": 0.003476159691384847,
|
| 293 |
+
"grad_norm": 7.071728229522705,
|
| 294 |
+
"learning_rate": 1.6853038769745467e-05,
|
| 295 |
+
"loss": 1.5634,
|
| 296 |
+
"step": 41
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.0035609440741015503,
|
| 300 |
+
"grad_norm": 6.2012248039245605,
|
| 301 |
+
"learning_rate": 1.339745962155613e-05,
|
| 302 |
+
"loss": 1.1765,
|
| 303 |
+
"step": 42
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 0.0036457284568182542,
|
| 307 |
+
"grad_norm": 6.488067150115967,
|
| 308 |
+
"learning_rate": 1.0312725846731175e-05,
|
| 309 |
+
"loss": 1.1878,
|
| 310 |
+
"step": 43
|
| 311 |
+
},
|
| 312 |
+
{
|
| 313 |
+
"epoch": 0.0037305128395349577,
|
| 314 |
+
"grad_norm": 6.788881778717041,
|
| 315 |
+
"learning_rate": 7.612046748871327e-06,
|
| 316 |
+
"loss": 1.7673,
|
| 317 |
+
"step": 44
|
| 318 |
+
},
|
| 319 |
+
{
|
| 320 |
+
"epoch": 0.003815297222251661,
|
| 321 |
+
"grad_norm": 8.740360260009766,
|
| 322 |
+
"learning_rate": 5.306987050489442e-06,
|
| 323 |
+
"loss": 1.7525,
|
| 324 |
+
"step": 45
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 0.003900081604968365,
|
| 328 |
+
"grad_norm": 6.092394828796387,
|
| 329 |
+
"learning_rate": 3.40741737109318e-06,
|
| 330 |
+
"loss": 1.408,
|
| 331 |
+
"step": 46
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.003984865987685068,
|
| 335 |
+
"grad_norm": 6.857183456420898,
|
| 336 |
+
"learning_rate": 1.921471959676957e-06,
|
| 337 |
+
"loss": 0.9187,
|
| 338 |
+
"step": 47
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.004069650370401772,
|
| 342 |
+
"grad_norm": 6.588223457336426,
|
| 343 |
+
"learning_rate": 8.555138626189618e-07,
|
| 344 |
+
"loss": 1.0684,
|
| 345 |
+
"step": 48
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.004154434753118476,
|
| 349 |
+
"grad_norm": 6.943943977355957,
|
| 350 |
+
"learning_rate": 2.141076761396521e-07,
|
| 351 |
+
"loss": 1.6099,
|
| 352 |
+
"step": 49
|
| 353 |
+
},
|
| 354 |
+
{
|
| 355 |
+
"epoch": 0.004239219135835179,
|
| 356 |
+
"grad_norm": 8.967212677001953,
|
| 357 |
+
"learning_rate": 0.0,
|
| 358 |
+
"loss": 1.7563,
|
| 359 |
+
"step": 50
|
| 360 |
}
|
| 361 |
],
|
| 362 |
"logging_steps": 1,
|
|
|
|
| 371 |
"should_evaluate": false,
|
| 372 |
"should_log": false,
|
| 373 |
"should_save": true,
|
| 374 |
+
"should_training_stop": true
|
| 375 |
},
|
| 376 |
"attributes": {}
|
| 377 |
}
|
| 378 |
},
|
| 379 |
+
"total_flos": 7.41900168462336e+16,
|
| 380 |
"train_batch_size": 2,
|
| 381 |
"trial_name": null,
|
| 382 |
"trial_params": null
|