Instructions to use Kudod/roberta-mlm-model-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kudod/roberta-mlm-model-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Kudod/roberta-mlm-model-v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Kudod/roberta-mlm-model-v1") model = AutoModelForMaskedLM.from_pretrained("Kudod/roberta-mlm-model-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 40000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 641630264
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c55549ffb5230326e84fdfa6241f0ddb469bb20dd272bd9b2106b1eca6646fde
|
| 3 |
size 641630264
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1283324282
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c0e1da9a673e80e984ea3ad3da1f22102f406d5f65e29af84ba25840dfad38ab
|
| 3 |
size 1283324282
|
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 sha256:30062d054cd8f10917e3362fb81968d198e989a8d8f5cf9834b4735f11025dbb
|
| 3 |
size 14244
|
last-checkpoint/scaler.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 988
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:48ec3b25a48ffdccce52dc6d32ace0b24a39b364bc280dcb7caf619a4463915f
|
| 3 |
size 988
|
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:dad8d7bb7d9da51dc65baece0abc070e82a5f833c2b15381f699042e4af78f88
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -2,9 +2,9 @@
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
-
"epoch": 0.
|
| 6 |
"eval_steps": 5000,
|
| 7 |
-
"global_step":
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
@@ -476,6 +476,162 @@
|
|
| 476 |
"eval_samples_per_second": 308.364,
|
| 477 |
"eval_steps_per_second": 9.636,
|
| 478 |
"step": 30000
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 479 |
}
|
| 480 |
],
|
| 481 |
"logging_steps": 500,
|
|
@@ -495,7 +651,7 @@
|
|
| 495 |
"attributes": {}
|
| 496 |
}
|
| 497 |
},
|
| 498 |
-
"total_flos": 1.
|
| 499 |
"train_batch_size": 32,
|
| 500 |
"trial_name": null,
|
| 501 |
"trial_params": null
|
|
|
|
| 2 |
"best_global_step": null,
|
| 3 |
"best_metric": null,
|
| 4 |
"best_model_checkpoint": null,
|
| 5 |
+
"epoch": 0.9932459276916965,
|
| 6 |
"eval_steps": 5000,
|
| 7 |
+
"global_step": 40000,
|
| 8 |
"is_hyper_param_search": false,
|
| 9 |
"is_local_process_zero": true,
|
| 10 |
"is_world_process_zero": true,
|
|
|
|
| 476 |
"eval_samples_per_second": 308.364,
|
| 477 |
"eval_steps_per_second": 9.636,
|
| 478 |
"step": 30000
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.7573500198649186,
|
| 482 |
+
"grad_norm": 3.0172479152679443,
|
| 483 |
+
"learning_rate": 0.0004264099620682771,
|
| 484 |
+
"loss": 2.4733,
|
| 485 |
+
"step": 30500
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.7697655939610648,
|
| 489 |
+
"grad_norm": 2.6325442790985107,
|
| 490 |
+
"learning_rate": 0.000425162208025554,
|
| 491 |
+
"loss": 2.4721,
|
| 492 |
+
"step": 31000
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.7821811680572109,
|
| 496 |
+
"grad_norm": 2.826345682144165,
|
| 497 |
+
"learning_rate": 0.0004239144539828309,
|
| 498 |
+
"loss": 2.4692,
|
| 499 |
+
"step": 31500
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.7945967421533572,
|
| 503 |
+
"grad_norm": 2.456289291381836,
|
| 504 |
+
"learning_rate": 0.00042266919544819325,
|
| 505 |
+
"loss": 2.4385,
|
| 506 |
+
"step": 32000
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.8070123162495034,
|
| 510 |
+
"grad_norm": 2.4803292751312256,
|
| 511 |
+
"learning_rate": 0.0004214214414054702,
|
| 512 |
+
"loss": 2.439,
|
| 513 |
+
"step": 32500
|
| 514 |
+
},
|
| 515 |
+
{
|
| 516 |
+
"epoch": 0.8194278903456496,
|
| 517 |
+
"grad_norm": 2.6469247341156006,
|
| 518 |
+
"learning_rate": 0.00042017618287083254,
|
| 519 |
+
"loss": 2.4729,
|
| 520 |
+
"step": 33000
|
| 521 |
+
},
|
| 522 |
+
{
|
| 523 |
+
"epoch": 0.8318434644417958,
|
| 524 |
+
"grad_norm": 2.7024786472320557,
|
| 525 |
+
"learning_rate": 0.0004189284288281094,
|
| 526 |
+
"loss": 2.4244,
|
| 527 |
+
"step": 33500
|
| 528 |
+
},
|
| 529 |
+
{
|
| 530 |
+
"epoch": 0.844259038537942,
|
| 531 |
+
"grad_norm": 2.847285270690918,
|
| 532 |
+
"learning_rate": 0.0004176806747853863,
|
| 533 |
+
"loss": 2.4636,
|
| 534 |
+
"step": 34000
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 0.8566746126340882,
|
| 538 |
+
"grad_norm": 2.453200340270996,
|
| 539 |
+
"learning_rate": 0.0004164329207426632,
|
| 540 |
+
"loss": 2.4524,
|
| 541 |
+
"step": 34500
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.8690901867302344,
|
| 545 |
+
"grad_norm": 2.49642276763916,
|
| 546 |
+
"learning_rate": 0.0004151876622080256,
|
| 547 |
+
"loss": 2.4457,
|
| 548 |
+
"step": 35000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 0.8690901867302344,
|
| 552 |
+
"eval_loss": 1.4776599407196045,
|
| 553 |
+
"eval_runtime": 4154.52,
|
| 554 |
+
"eval_samples_per_second": 310.19,
|
| 555 |
+
"eval_steps_per_second": 9.694,
|
| 556 |
+
"step": 35000
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.8815057608263807,
|
| 560 |
+
"grad_norm": 2.576984405517578,
|
| 561 |
+
"learning_rate": 0.00041393990816530245,
|
| 562 |
+
"loss": 2.4149,
|
| 563 |
+
"step": 35500
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.8939213349225268,
|
| 567 |
+
"grad_norm": 3.0729165077209473,
|
| 568 |
+
"learning_rate": 0.0004126921541225794,
|
| 569 |
+
"loss": 2.4067,
|
| 570 |
+
"step": 36000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.906336909018673,
|
| 574 |
+
"grad_norm": 2.7619829177856445,
|
| 575 |
+
"learning_rate": 0.0004114444000798563,
|
| 576 |
+
"loss": 2.4121,
|
| 577 |
+
"step": 36500
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.9187524831148193,
|
| 581 |
+
"grad_norm": 3.5316452980041504,
|
| 582 |
+
"learning_rate": 0.0004101991415452186,
|
| 583 |
+
"loss": 2.3781,
|
| 584 |
+
"step": 37000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 0.9311680572109654,
|
| 588 |
+
"grad_norm": 2.7174599170684814,
|
| 589 |
+
"learning_rate": 0.0004089538830105809,
|
| 590 |
+
"loss": 2.4013,
|
| 591 |
+
"step": 37500
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 0.9435836313071116,
|
| 595 |
+
"grad_norm": 13.372625350952148,
|
| 596 |
+
"learning_rate": 0.00040771611100019967,
|
| 597 |
+
"loss": 2.5449,
|
| 598 |
+
"step": 38000
|
| 599 |
+
},
|
| 600 |
+
{
|
| 601 |
+
"epoch": 0.9559992054032579,
|
| 602 |
+
"grad_norm": 11.173745155334473,
|
| 603 |
+
"learning_rate": 0.0004064883210221601,
|
| 604 |
+
"loss": 6.7867,
|
| 605 |
+
"step": 38500
|
| 606 |
+
},
|
| 607 |
+
{
|
| 608 |
+
"epoch": 0.968414779499404,
|
| 609 |
+
"grad_norm": 0.9608703255653381,
|
| 610 |
+
"learning_rate": 0.000405240566979437,
|
| 611 |
+
"loss": 7.7097,
|
| 612 |
+
"step": 39000
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 0.9808303535955503,
|
| 616 |
+
"grad_norm": 8286.201171875,
|
| 617 |
+
"learning_rate": 0.0004039928129367139,
|
| 618 |
+
"loss": 7.7291,
|
| 619 |
+
"step": 39500
|
| 620 |
+
},
|
| 621 |
+
{
|
| 622 |
+
"epoch": 0.9932459276916965,
|
| 623 |
+
"grad_norm": 2.1965973377227783,
|
| 624 |
+
"learning_rate": 0.00040274505889399085,
|
| 625 |
+
"loss": 7.7205,
|
| 626 |
+
"step": 40000
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 0.9932459276916965,
|
| 630 |
+
"eval_loss": 7.322892665863037,
|
| 631 |
+
"eval_runtime": 4170.5156,
|
| 632 |
+
"eval_samples_per_second": 309.0,
|
| 633 |
+
"eval_steps_per_second": 9.656,
|
| 634 |
+
"step": 40000
|
| 635 |
}
|
| 636 |
],
|
| 637 |
"logging_steps": 500,
|
|
|
|
| 651 |
"attributes": {}
|
| 652 |
}
|
| 653 |
},
|
| 654 |
+
"total_flos": 1.6807169819837645e+17,
|
| 655 |
"train_batch_size": 32,
|
| 656 |
"trial_name": null,
|
| 657 |
"trial_params": null
|