Instructions to use baby-dev/test-09-01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/test-09-01 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("peft-internal-testing/tiny-dummy-qwen2") model = PeftModel.from_pretrained(base_model, "baby-dev/test-09-01") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 2400, 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 48552
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7b81ed46ebdb73fd60c8215b609715c54bcfe893e61ff2be90363782866d9e6c
|
| 3 |
size 48552
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 107046
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6de2015aa68212071f7c3b91dcfb7b66def0e2afa315439b5c6b549df235e69d
|
| 3 |
size 107046
|
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 sha256:89aa5d01ec6e12a5fc14cff311e1bf214e0afce816e4ca5554bee6c16bbad85d
|
| 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 sha256:3dee3877c8ca490cbca3fe12b55636d1fec9ddfd94e751ac0ae51b2d185b582e
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 11.
|
| 3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
| 4 |
-
"epoch":
|
| 5 |
"eval_steps": 150,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -450,6 +450,35 @@
|
|
| 450 |
"eval_samples_per_second": 225.183,
|
| 451 |
"eval_steps_per_second": 57.4,
|
| 452 |
"step": 2250
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 453 |
}
|
| 454 |
],
|
| 455 |
"logging_steps": 50,
|
|
@@ -478,7 +507,7 @@
|
|
| 478 |
"attributes": {}
|
| 479 |
}
|
| 480 |
},
|
| 481 |
-
"total_flos":
|
| 482 |
"train_batch_size": 4,
|
| 483 |
"trial_name": null,
|
| 484 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 11.899084091186523,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-2400",
|
| 4 |
+
"epoch": 19.95841995841996,
|
| 5 |
"eval_steps": 150,
|
| 6 |
+
"global_step": 2400,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 450 |
"eval_samples_per_second": 225.183,
|
| 451 |
"eval_steps_per_second": 57.4,
|
| 452 |
"step": 2250
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 19.126819126819125,
|
| 456 |
+
"grad_norm": 0.056740619242191315,
|
| 457 |
+
"learning_rate": 6.222931005539701e-05,
|
| 458 |
+
"loss": 12.0697,
|
| 459 |
+
"step": 2300
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 19.542619542619544,
|
| 463 |
+
"grad_norm": 0.04759081080555916,
|
| 464 |
+
"learning_rate": 6.138996138996139e-05,
|
| 465 |
+
"loss": 11.8947,
|
| 466 |
+
"step": 2350
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 19.95841995841996,
|
| 470 |
+
"grad_norm": 0.07817522436380386,
|
| 471 |
+
"learning_rate": 6.055061272452577e-05,
|
| 472 |
+
"loss": 11.9002,
|
| 473 |
+
"step": 2400
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 19.95841995841996,
|
| 477 |
+
"eval_loss": 11.899084091186523,
|
| 478 |
+
"eval_runtime": 0.4537,
|
| 479 |
+
"eval_samples_per_second": 224.815,
|
| 480 |
+
"eval_steps_per_second": 57.306,
|
| 481 |
+
"step": 2400
|
| 482 |
}
|
| 483 |
],
|
| 484 |
"logging_steps": 50,
|
|
|
|
| 507 |
"attributes": {}
|
| 508 |
}
|
| 509 |
},
|
| 510 |
+
"total_flos": 3124387872768.0,
|
| 511 |
"train_batch_size": 4,
|
| 512 |
"trial_name": null,
|
| 513 |
"trial_params": null
|