Training in progress, step 100, 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 671149168
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:14d3c368e3744a87120fa02b36def8c35ae56a3e176e906cea85f5b81b3bbe08
|
| 3 |
size 671149168
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 341314196
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5406c8b7bb921e9147a6706c9b5e19b42cd291e65d4ce13820cc1b514341edd5
|
| 3 |
size 341314196
|
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:b0636ac1e1cd9b5ed3b02f674cf2400e6388a98470c99628f3f15decd2b55b27
|
| 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:a046f3bc9d619a7e62601f3cf33ff02f6ad189db5b564eab88c1bb00e13b059d
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "miner_id_24/checkpoint-
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 50,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -373,6 +373,364 @@
|
|
| 373 |
"eval_samples_per_second": 8.842,
|
| 374 |
"eval_steps_per_second": 2.211,
|
| 375 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 376 |
}
|
| 377 |
],
|
| 378 |
"logging_steps": 1,
|
|
@@ -401,7 +759,7 @@
|
|
| 401 |
"attributes": {}
|
| 402 |
}
|
| 403 |
},
|
| 404 |
-
"total_flos":
|
| 405 |
"train_batch_size": 4,
|
| 406 |
"trial_name": null,
|
| 407 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.4575375020503998,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.019609765663300322,
|
| 5 |
"eval_steps": 50,
|
| 6 |
+
"global_step": 100,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 373 |
"eval_samples_per_second": 8.842,
|
| 374 |
"eval_steps_per_second": 2.211,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.010000980488283165,
|
| 379 |
+
"grad_norm": 6.259135723114014,
|
| 380 |
+
"learning_rate": 7.944052631578947e-05,
|
| 381 |
+
"loss": 1.9433,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.010197078144916168,
|
| 386 |
+
"grad_norm": 3.87833833694458,
|
| 387 |
+
"learning_rate": 7.890736842105263e-05,
|
| 388 |
+
"loss": 0.925,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.010393175801549172,
|
| 393 |
+
"grad_norm": 3.702810764312744,
|
| 394 |
+
"learning_rate": 7.837421052631579e-05,
|
| 395 |
+
"loss": 0.8375,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.010589273458182174,
|
| 400 |
+
"grad_norm": 3.9069197177886963,
|
| 401 |
+
"learning_rate": 7.784105263157893e-05,
|
| 402 |
+
"loss": 0.7016,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.010785371114815178,
|
| 407 |
+
"grad_norm": 4.089141845703125,
|
| 408 |
+
"learning_rate": 7.730789473684211e-05,
|
| 409 |
+
"loss": 0.736,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.01098146877144818,
|
| 414 |
+
"grad_norm": 4.299583435058594,
|
| 415 |
+
"learning_rate": 7.677473684210526e-05,
|
| 416 |
+
"loss": 0.9623,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.011177566428081185,
|
| 421 |
+
"grad_norm": 4.404727458953857,
|
| 422 |
+
"learning_rate": 7.624157894736842e-05,
|
| 423 |
+
"loss": 0.9444,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.011373664084714187,
|
| 428 |
+
"grad_norm": 3.662179470062256,
|
| 429 |
+
"learning_rate": 7.570842105263158e-05,
|
| 430 |
+
"loss": 0.7267,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.011569761741347192,
|
| 435 |
+
"grad_norm": 5.034608364105225,
|
| 436 |
+
"learning_rate": 7.517526315789474e-05,
|
| 437 |
+
"loss": 0.8414,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.011765859397980194,
|
| 442 |
+
"grad_norm": 4.015024185180664,
|
| 443 |
+
"learning_rate": 7.464210526315789e-05,
|
| 444 |
+
"loss": 0.7682,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.011961957054613198,
|
| 449 |
+
"grad_norm": 3.8569846153259277,
|
| 450 |
+
"learning_rate": 7.410894736842106e-05,
|
| 451 |
+
"loss": 0.7419,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.0121580547112462,
|
| 456 |
+
"grad_norm": 5.50112247467041,
|
| 457 |
+
"learning_rate": 7.35757894736842e-05,
|
| 458 |
+
"loss": 0.789,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.012354152367879203,
|
| 463 |
+
"grad_norm": 4.346161842346191,
|
| 464 |
+
"learning_rate": 7.304263157894737e-05,
|
| 465 |
+
"loss": 0.7292,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.012550250024512207,
|
| 470 |
+
"grad_norm": 12.474294662475586,
|
| 471 |
+
"learning_rate": 7.250947368421053e-05,
|
| 472 |
+
"loss": 0.8405,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.01274634768114521,
|
| 477 |
+
"grad_norm": 6.171235084533691,
|
| 478 |
+
"learning_rate": 7.197631578947368e-05,
|
| 479 |
+
"loss": 0.9972,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.012942445337778214,
|
| 484 |
+
"grad_norm": 10.865174293518066,
|
| 485 |
+
"learning_rate": 7.144315789473684e-05,
|
| 486 |
+
"loss": 0.6531,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.013138542994411216,
|
| 491 |
+
"grad_norm": 5.450807094573975,
|
| 492 |
+
"learning_rate": 7.091e-05,
|
| 493 |
+
"loss": 0.9603,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.01333464065104422,
|
| 498 |
+
"grad_norm": 5.7336015701293945,
|
| 499 |
+
"learning_rate": 7.037684210526316e-05,
|
| 500 |
+
"loss": 0.9774,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.013530738307677223,
|
| 505 |
+
"grad_norm": 5.6365156173706055,
|
| 506 |
+
"learning_rate": 6.984368421052632e-05,
|
| 507 |
+
"loss": 0.7666,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.013726835964310227,
|
| 512 |
+
"grad_norm": 7.478610992431641,
|
| 513 |
+
"learning_rate": 6.931052631578947e-05,
|
| 514 |
+
"loss": 0.7726,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.01392293362094323,
|
| 519 |
+
"grad_norm": 5.047933578491211,
|
| 520 |
+
"learning_rate": 6.877736842105263e-05,
|
| 521 |
+
"loss": 0.5822,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.014119031277576233,
|
| 526 |
+
"grad_norm": 6.480734348297119,
|
| 527 |
+
"learning_rate": 6.824421052631579e-05,
|
| 528 |
+
"loss": 0.7629,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.014315128934209236,
|
| 533 |
+
"grad_norm": 7.191463470458984,
|
| 534 |
+
"learning_rate": 6.771105263157895e-05,
|
| 535 |
+
"loss": 0.6803,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.01451122659084224,
|
| 540 |
+
"grad_norm": 4.883853435516357,
|
| 541 |
+
"learning_rate": 6.71778947368421e-05,
|
| 542 |
+
"loss": 0.6785,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.014707324247475242,
|
| 547 |
+
"grad_norm": 6.941567420959473,
|
| 548 |
+
"learning_rate": 6.664473684210527e-05,
|
| 549 |
+
"loss": 0.8324,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.014903421904108247,
|
| 554 |
+
"grad_norm": 6.098438739776611,
|
| 555 |
+
"learning_rate": 6.611157894736842e-05,
|
| 556 |
+
"loss": 0.8325,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.015099519560741249,
|
| 561 |
+
"grad_norm": 8.49299144744873,
|
| 562 |
+
"learning_rate": 6.557842105263158e-05,
|
| 563 |
+
"loss": 1.1349,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.015295617217374253,
|
| 568 |
+
"grad_norm": 4.6161627769470215,
|
| 569 |
+
"learning_rate": 6.504526315789474e-05,
|
| 570 |
+
"loss": 0.3797,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.015491714874007256,
|
| 575 |
+
"grad_norm": 5.683040142059326,
|
| 576 |
+
"learning_rate": 6.451210526315789e-05,
|
| 577 |
+
"loss": 0.4784,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.01568781253064026,
|
| 582 |
+
"grad_norm": 7.138983249664307,
|
| 583 |
+
"learning_rate": 6.397894736842105e-05,
|
| 584 |
+
"loss": 0.6783,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.01588391018727326,
|
| 589 |
+
"grad_norm": 5.301764488220215,
|
| 590 |
+
"learning_rate": 6.344578947368421e-05,
|
| 591 |
+
"loss": 0.4013,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.016080007843906265,
|
| 596 |
+
"grad_norm": 5.394726753234863,
|
| 597 |
+
"learning_rate": 6.291263157894737e-05,
|
| 598 |
+
"loss": 0.472,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.01627610550053927,
|
| 603 |
+
"grad_norm": 7.571673393249512,
|
| 604 |
+
"learning_rate": 6.237947368421053e-05,
|
| 605 |
+
"loss": 0.6222,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.016472203157172273,
|
| 610 |
+
"grad_norm": 13.990236282348633,
|
| 611 |
+
"learning_rate": 6.184631578947368e-05,
|
| 612 |
+
"loss": 1.5111,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.016668300813805274,
|
| 617 |
+
"grad_norm": 9.939437866210938,
|
| 618 |
+
"learning_rate": 6.131315789473684e-05,
|
| 619 |
+
"loss": 1.2702,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.016864398470438278,
|
| 624 |
+
"grad_norm": 11.926310539245605,
|
| 625 |
+
"learning_rate": 6.078e-05,
|
| 626 |
+
"loss": 0.997,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.017060496127071282,
|
| 631 |
+
"grad_norm": 7.9521379470825195,
|
| 632 |
+
"learning_rate": 6.024684210526315e-05,
|
| 633 |
+
"loss": 0.8637,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.017256593783704286,
|
| 638 |
+
"grad_norm": 11.58044147491455,
|
| 639 |
+
"learning_rate": 5.9713684210526305e-05,
|
| 640 |
+
"loss": 1.3852,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.017452691440337287,
|
| 645 |
+
"grad_norm": 9.782970428466797,
|
| 646 |
+
"learning_rate": 5.918052631578947e-05,
|
| 647 |
+
"loss": 0.8799,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.01764878909697029,
|
| 652 |
+
"grad_norm": 10.114582061767578,
|
| 653 |
+
"learning_rate": 5.8647368421052634e-05,
|
| 654 |
+
"loss": 1.1961,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.017844886753603295,
|
| 659 |
+
"grad_norm": 12.574527740478516,
|
| 660 |
+
"learning_rate": 5.811421052631579e-05,
|
| 661 |
+
"loss": 1.0894,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.0180409844102363,
|
| 666 |
+
"grad_norm": 14.899230003356934,
|
| 667 |
+
"learning_rate": 5.758105263157894e-05,
|
| 668 |
+
"loss": 1.2862,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.0182370820668693,
|
| 673 |
+
"grad_norm": 8.636293411254883,
|
| 674 |
+
"learning_rate": 5.70478947368421e-05,
|
| 675 |
+
"loss": 0.854,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.018433179723502304,
|
| 680 |
+
"grad_norm": 11.84518814086914,
|
| 681 |
+
"learning_rate": 5.6514736842105256e-05,
|
| 682 |
+
"loss": 0.6895,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.01862927738013531,
|
| 687 |
+
"grad_norm": 28.145517349243164,
|
| 688 |
+
"learning_rate": 5.5981578947368424e-05,
|
| 689 |
+
"loss": 1.5005,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.01882537503676831,
|
| 694 |
+
"grad_norm": 13.958025932312012,
|
| 695 |
+
"learning_rate": 5.544842105263158e-05,
|
| 696 |
+
"loss": 0.4707,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.019021472693401313,
|
| 701 |
+
"grad_norm": 14.421865463256836,
|
| 702 |
+
"learning_rate": 5.491526315789474e-05,
|
| 703 |
+
"loss": 1.3302,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.019217570350034317,
|
| 708 |
+
"grad_norm": 19.330612182617188,
|
| 709 |
+
"learning_rate": 5.438210526315789e-05,
|
| 710 |
+
"loss": 1.0502,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.01941366800666732,
|
| 715 |
+
"grad_norm": 16.62639045715332,
|
| 716 |
+
"learning_rate": 5.384894736842105e-05,
|
| 717 |
+
"loss": 1.2102,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.019609765663300322,
|
| 722 |
+
"grad_norm": 26.352754592895508,
|
| 723 |
+
"learning_rate": 5.331578947368421e-05,
|
| 724 |
+
"loss": 1.9532,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.019609765663300322,
|
| 729 |
+
"eval_loss": 0.4575375020503998,
|
| 730 |
+
"eval_runtime": 243.2626,
|
| 731 |
+
"eval_samples_per_second": 8.83,
|
| 732 |
+
"eval_steps_per_second": 2.207,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 3.774261496696013e+16,
|
| 763 |
"train_batch_size": 4,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|