Instructions to use adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "adammandic87/4e083127-f89f-4cd5-8955-22c2c6da80f8") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 50, checkpoint
Browse files
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 41119636
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a096f930017b2cc6ca9f4453405747a76258ade452c58dcd9be9992e9b0e8145
|
| 3 |
size 41119636
|
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:d08feb0b8dea6185f68f1482010f68eaf6c0392818bbf986a4c66ef478d1e367
|
| 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 sha256:439e51f57871ee9c2bc8b35458a0c03f9b948af7a0d15ffe5e1cf9789955c6c8
|
| 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": 13,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -312,6 +312,83 @@
|
|
| 312 |
"eval_samples_per_second": 33.5,
|
| 313 |
"eval_steps_per_second": 16.75,
|
| 314 |
"step": 39
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 315 |
}
|
| 316 |
],
|
| 317 |
"logging_steps": 1,
|
|
@@ -326,12 +403,12 @@
|
|
| 326 |
"should_evaluate": false,
|
| 327 |
"should_log": false,
|
| 328 |
"should_save": true,
|
| 329 |
-
"should_training_stop":
|
| 330 |
},
|
| 331 |
"attributes": {}
|
| 332 |
}
|
| 333 |
},
|
| 334 |
-
"total_flos":
|
| 335 |
"train_batch_size": 2,
|
| 336 |
"trial_name": null,
|
| 337 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.1392757660167131,
|
| 5 |
"eval_steps": 13,
|
| 6 |
+
"global_step": 50,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 312 |
"eval_samples_per_second": 33.5,
|
| 313 |
"eval_steps_per_second": 16.75,
|
| 314 |
"step": 39
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.11142061281337047,
|
| 318 |
+
"grad_norm": NaN,
|
| 319 |
+
"learning_rate": 7.3223304703363135e-06,
|
| 320 |
+
"loss": 0.0,
|
| 321 |
+
"step": 40
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.11420612813370473,
|
| 325 |
+
"grad_norm": NaN,
|
| 326 |
+
"learning_rate": 5.989850859999227e-06,
|
| 327 |
+
"loss": 0.0,
|
| 328 |
+
"step": 41
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 0.116991643454039,
|
| 332 |
+
"grad_norm": NaN,
|
| 333 |
+
"learning_rate": 4.7745751406263165e-06,
|
| 334 |
+
"loss": 0.0,
|
| 335 |
+
"step": 42
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"epoch": 0.11977715877437325,
|
| 339 |
+
"grad_norm": NaN,
|
| 340 |
+
"learning_rate": 3.6839958911476957e-06,
|
| 341 |
+
"loss": 0.0,
|
| 342 |
+
"step": 43
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 0.12256267409470752,
|
| 346 |
+
"grad_norm": NaN,
|
| 347 |
+
"learning_rate": 2.7248368952908053e-06,
|
| 348 |
+
"loss": 0.0,
|
| 349 |
+
"step": 44
|
| 350 |
+
},
|
| 351 |
+
{
|
| 352 |
+
"epoch": 0.12534818941504178,
|
| 353 |
+
"grad_norm": NaN,
|
| 354 |
+
"learning_rate": 1.9030116872178316e-06,
|
| 355 |
+
"loss": 0.0,
|
| 356 |
+
"step": 45
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.12813370473537605,
|
| 360 |
+
"grad_norm": NaN,
|
| 361 |
+
"learning_rate": 1.2235870926211619e-06,
|
| 362 |
+
"loss": 0.0,
|
| 363 |
+
"step": 46
|
| 364 |
+
},
|
| 365 |
+
{
|
| 366 |
+
"epoch": 0.1309192200557103,
|
| 367 |
+
"grad_norm": NaN,
|
| 368 |
+
"learning_rate": 6.907519900580861e-07,
|
| 369 |
+
"loss": 0.0,
|
| 370 |
+
"step": 47
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"epoch": 0.13370473537604458,
|
| 374 |
+
"grad_norm": NaN,
|
| 375 |
+
"learning_rate": 3.077914851215585e-07,
|
| 376 |
+
"loss": 0.0,
|
| 377 |
+
"step": 48
|
| 378 |
+
},
|
| 379 |
+
{
|
| 380 |
+
"epoch": 0.13649025069637882,
|
| 381 |
+
"grad_norm": NaN,
|
| 382 |
+
"learning_rate": 7.706665667180091e-08,
|
| 383 |
+
"loss": 0.0,
|
| 384 |
+
"step": 49
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 0.1392757660167131,
|
| 388 |
+
"grad_norm": NaN,
|
| 389 |
+
"learning_rate": 0.0,
|
| 390 |
+
"loss": 0.0,
|
| 391 |
+
"step": 50
|
| 392 |
}
|
| 393 |
],
|
| 394 |
"logging_steps": 1,
|
|
|
|
| 403 |
"should_evaluate": false,
|
| 404 |
"should_log": false,
|
| 405 |
"should_save": true,
|
| 406 |
+
"should_training_stop": true
|
| 407 |
},
|
| 408 |
"attributes": {}
|
| 409 |
}
|
| 410 |
},
|
| 411 |
+
"total_flos": 8143670712729600.0,
|
| 412 |
"train_batch_size": 2,
|
| 413 |
"trial_name": null,
|
| 414 |
"trial_params": null
|