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 313820248
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:53e53df51313907f466b828f09176657d8e2807e500abbdcb2f10c4e4d654ca4
|
| 3 |
size 313820248
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 159641092
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a229360d138fd2cd0dfc6350ee6e1db18cf3ef021130b9b45d6f8fd30db7ade
|
| 3 |
size 159641092
|
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 sha256:8dd47b98c13b62d4af3c8c550bb01ae52e2436727b4a68098bbc83f8dad40d82
|
| 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 sha256:2b73d3ab03a9f3cb0edf1405ad22e2439bfc633b9abdf025e1224c6f0ad183c3
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 2.
|
| 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": 17.048,
|
| 374 |
"eval_steps_per_second": 4.263,
|
| 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": 2.1092565059661865,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.0027397635584049096,
|
| 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": 17.048,
|
| 374 |
"eval_steps_per_second": 4.263,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.001397279414786504,
|
| 379 |
+
"grad_norm": 9.39171314239502,
|
| 380 |
+
"learning_rate": 7.928368421052632e-05,
|
| 381 |
+
"loss": 2.5679,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.001424677050370553,
|
| 386 |
+
"grad_norm": 10.350808143615723,
|
| 387 |
+
"learning_rate": 7.875157894736842e-05,
|
| 388 |
+
"loss": 2.6965,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.0014520746859546022,
|
| 393 |
+
"grad_norm": 11.915090560913086,
|
| 394 |
+
"learning_rate": 7.821947368421053e-05,
|
| 395 |
+
"loss": 2.7901,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.0014794723215386513,
|
| 400 |
+
"grad_norm": 14.726212501525879,
|
| 401 |
+
"learning_rate": 7.768736842105263e-05,
|
| 402 |
+
"loss": 3.894,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.0015068699571227004,
|
| 407 |
+
"grad_norm": 14.440069198608398,
|
| 408 |
+
"learning_rate": 7.715526315789474e-05,
|
| 409 |
+
"loss": 3.8703,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.0015342675927067493,
|
| 414 |
+
"grad_norm": 16.271181106567383,
|
| 415 |
+
"learning_rate": 7.662315789473685e-05,
|
| 416 |
+
"loss": 3.6617,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.0015616652282907984,
|
| 421 |
+
"grad_norm": 13.526236534118652,
|
| 422 |
+
"learning_rate": 7.609105263157895e-05,
|
| 423 |
+
"loss": 2.7699,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.0015890628638748476,
|
| 428 |
+
"grad_norm": 9.286958694458008,
|
| 429 |
+
"learning_rate": 7.555894736842105e-05,
|
| 430 |
+
"loss": 2.8028,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.0016164604994588967,
|
| 435 |
+
"grad_norm": 14.175232887268066,
|
| 436 |
+
"learning_rate": 7.502684210526316e-05,
|
| 437 |
+
"loss": 3.3656,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.0016438581350429458,
|
| 442 |
+
"grad_norm": 9.617558479309082,
|
| 443 |
+
"learning_rate": 7.449473684210526e-05,
|
| 444 |
+
"loss": 1.9919,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.001671255770626995,
|
| 449 |
+
"grad_norm": 9.61012077331543,
|
| 450 |
+
"learning_rate": 7.396263157894738e-05,
|
| 451 |
+
"loss": 1.9658,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.001698653406211044,
|
| 456 |
+
"grad_norm": 10.791799545288086,
|
| 457 |
+
"learning_rate": 7.343052631578949e-05,
|
| 458 |
+
"loss": 2.7421,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.0017260510417950931,
|
| 463 |
+
"grad_norm": 11.175983428955078,
|
| 464 |
+
"learning_rate": 7.289842105263158e-05,
|
| 465 |
+
"loss": 1.7803,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.0017534486773791423,
|
| 470 |
+
"grad_norm": 21.124692916870117,
|
| 471 |
+
"learning_rate": 7.236631578947369e-05,
|
| 472 |
+
"loss": 1.9238,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.0017808463129631914,
|
| 477 |
+
"grad_norm": 11.414015769958496,
|
| 478 |
+
"learning_rate": 7.183421052631579e-05,
|
| 479 |
+
"loss": 1.9238,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.0018082439485472403,
|
| 484 |
+
"grad_norm": 9.583854675292969,
|
| 485 |
+
"learning_rate": 7.13021052631579e-05,
|
| 486 |
+
"loss": 2.2229,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.0018356415841312894,
|
| 491 |
+
"grad_norm": 11.926726341247559,
|
| 492 |
+
"learning_rate": 7.077e-05,
|
| 493 |
+
"loss": 1.9964,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.0018630392197153385,
|
| 498 |
+
"grad_norm": 13.71705436706543,
|
| 499 |
+
"learning_rate": 7.023789473684211e-05,
|
| 500 |
+
"loss": 2.9112,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.0018904368552993876,
|
| 505 |
+
"grad_norm": 9.148221969604492,
|
| 506 |
+
"learning_rate": 6.970578947368422e-05,
|
| 507 |
+
"loss": 2.0433,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.0019178344908834368,
|
| 512 |
+
"grad_norm": 11.769927024841309,
|
| 513 |
+
"learning_rate": 6.917368421052633e-05,
|
| 514 |
+
"loss": 1.9223,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.0019452321264674859,
|
| 519 |
+
"grad_norm": 12.037910461425781,
|
| 520 |
+
"learning_rate": 6.864157894736842e-05,
|
| 521 |
+
"loss": 1.8342,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.0019726297620515348,
|
| 526 |
+
"grad_norm": 9.010817527770996,
|
| 527 |
+
"learning_rate": 6.810947368421053e-05,
|
| 528 |
+
"loss": 1.9317,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.002000027397635584,
|
| 533 |
+
"grad_norm": 12.990135192871094,
|
| 534 |
+
"learning_rate": 6.757736842105264e-05,
|
| 535 |
+
"loss": 2.7586,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.002027425033219633,
|
| 540 |
+
"grad_norm": 9.70896053314209,
|
| 541 |
+
"learning_rate": 6.704526315789473e-05,
|
| 542 |
+
"loss": 1.9642,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.002054822668803682,
|
| 547 |
+
"grad_norm": 10.410635948181152,
|
| 548 |
+
"learning_rate": 6.651315789473685e-05,
|
| 549 |
+
"loss": 1.9407,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.0020822203043877312,
|
| 554 |
+
"grad_norm": 11.185718536376953,
|
| 555 |
+
"learning_rate": 6.598105263157895e-05,
|
| 556 |
+
"loss": 1.7685,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.0021096179399717804,
|
| 561 |
+
"grad_norm": 12.08330249786377,
|
| 562 |
+
"learning_rate": 6.544894736842106e-05,
|
| 563 |
+
"loss": 2.5273,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.0021370155755558295,
|
| 568 |
+
"grad_norm": 10.257572174072266,
|
| 569 |
+
"learning_rate": 6.491684210526317e-05,
|
| 570 |
+
"loss": 1.6406,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.0021644132111398786,
|
| 575 |
+
"grad_norm": 8.938873291015625,
|
| 576 |
+
"learning_rate": 6.438473684210526e-05,
|
| 577 |
+
"loss": 1.4209,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.0021918108467239277,
|
| 582 |
+
"grad_norm": 12.932609558105469,
|
| 583 |
+
"learning_rate": 6.385263157894737e-05,
|
| 584 |
+
"loss": 2.4091,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.002219208482307977,
|
| 589 |
+
"grad_norm": 13.582636833190918,
|
| 590 |
+
"learning_rate": 6.332052631578948e-05,
|
| 591 |
+
"loss": 2.4494,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.002246606117892026,
|
| 596 |
+
"grad_norm": 10.341235160827637,
|
| 597 |
+
"learning_rate": 6.278842105263159e-05,
|
| 598 |
+
"loss": 1.9182,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.002274003753476075,
|
| 603 |
+
"grad_norm": 9.691158294677734,
|
| 604 |
+
"learning_rate": 6.22563157894737e-05,
|
| 605 |
+
"loss": 1.6645,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.002301401389060124,
|
| 610 |
+
"grad_norm": 9.134404182434082,
|
| 611 |
+
"learning_rate": 6.172421052631579e-05,
|
| 612 |
+
"loss": 1.5419,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.0023287990246441733,
|
| 617 |
+
"grad_norm": 13.0061674118042,
|
| 618 |
+
"learning_rate": 6.11921052631579e-05,
|
| 619 |
+
"loss": 2.0695,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.0023561966602282224,
|
| 624 |
+
"grad_norm": 11.673482894897461,
|
| 625 |
+
"learning_rate": 6.066e-05,
|
| 626 |
+
"loss": 1.6456,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.0023835942958122715,
|
| 631 |
+
"grad_norm": 12.235639572143555,
|
| 632 |
+
"learning_rate": 6.012789473684211e-05,
|
| 633 |
+
"loss": 2.0552,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.0024109919313963207,
|
| 638 |
+
"grad_norm": 12.531293869018555,
|
| 639 |
+
"learning_rate": 5.959578947368421e-05,
|
| 640 |
+
"loss": 1.7928,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.0024383895669803698,
|
| 645 |
+
"grad_norm": 11.760167121887207,
|
| 646 |
+
"learning_rate": 5.9063684210526324e-05,
|
| 647 |
+
"loss": 1.9041,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.002465787202564419,
|
| 652 |
+
"grad_norm": 11.60911750793457,
|
| 653 |
+
"learning_rate": 5.8531578947368425e-05,
|
| 654 |
+
"loss": 1.7488,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.0024931848381484676,
|
| 659 |
+
"grad_norm": 12.436223983764648,
|
| 660 |
+
"learning_rate": 5.7999473684210527e-05,
|
| 661 |
+
"loss": 1.8447,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.0025205824737325167,
|
| 666 |
+
"grad_norm": 10.578962326049805,
|
| 667 |
+
"learning_rate": 5.7467368421052635e-05,
|
| 668 |
+
"loss": 1.7382,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.002547980109316566,
|
| 673 |
+
"grad_norm": 11.361544609069824,
|
| 674 |
+
"learning_rate": 5.6935263157894736e-05,
|
| 675 |
+
"loss": 1.8159,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.002575377744900615,
|
| 680 |
+
"grad_norm": 12.437856674194336,
|
| 681 |
+
"learning_rate": 5.640315789473684e-05,
|
| 682 |
+
"loss": 1.9681,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.002602775380484664,
|
| 687 |
+
"grad_norm": 8.324384689331055,
|
| 688 |
+
"learning_rate": 5.587105263157895e-05,
|
| 689 |
+
"loss": 1.3098,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.002630173016068713,
|
| 694 |
+
"grad_norm": 10.963112831115723,
|
| 695 |
+
"learning_rate": 5.533894736842106e-05,
|
| 696 |
+
"loss": 1.3977,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.0026575706516527623,
|
| 701 |
+
"grad_norm": 11.730253219604492,
|
| 702 |
+
"learning_rate": 5.480684210526316e-05,
|
| 703 |
+
"loss": 2.0322,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.0026849682872368114,
|
| 708 |
+
"grad_norm": 10.242620468139648,
|
| 709 |
+
"learning_rate": 5.4274736842105264e-05,
|
| 710 |
+
"loss": 1.5608,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.0027123659228208605,
|
| 715 |
+
"grad_norm": 8.740520477294922,
|
| 716 |
+
"learning_rate": 5.374263157894737e-05,
|
| 717 |
+
"loss": 1.5199,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.0027397635584049096,
|
| 722 |
+
"grad_norm": 11.723816871643066,
|
| 723 |
+
"learning_rate": 5.3210526315789474e-05,
|
| 724 |
+
"loss": 2.1569,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.0027397635584049096,
|
| 729 |
+
"eval_loss": 2.1092565059661865,
|
| 730 |
+
"eval_runtime": 908.8001,
|
| 731 |
+
"eval_samples_per_second": 16.911,
|
| 732 |
+
"eval_steps_per_second": 4.229,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 1.1494075731542016e+16,
|
| 763 |
"train_batch_size": 4,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|