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 1157746040
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81828e3e61b4387228ad3c68a9ba9231d8672c73c1b05769197c2d6000a5a10c
|
| 3 |
size 1157746040
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 588699796
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5303af86a139a579e4e2c61f6de3133b66ded50e50fd29e4c9abf77182aacbe0
|
| 3 |
size 588699796
|
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:d914f88fd473c9ee149cb520f3e290d828f1c3cc7e21304f6d037422c1b59399
|
| 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:ac9085a964616f2d2af1a309022ca2f10b583138a852293c2266e9df64914089
|
| 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": 8.843,
|
| 374 |
"eval_steps_per_second": 2.221,
|
| 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": 0.635071337223053,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.10085728693898134,
|
| 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": 8.843,
|
| 374 |
"eval_steps_per_second": 2.221,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.05143721633888049,
|
| 379 |
+
"grad_norm": 0.8349344730377197,
|
| 380 |
+
"learning_rate": 7.856221052631579e-05,
|
| 381 |
+
"loss": 0.4587,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.052445789208270296,
|
| 386 |
+
"grad_norm": 0.6953268647193909,
|
| 387 |
+
"learning_rate": 7.803494736842106e-05,
|
| 388 |
+
"loss": 0.666,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.05345436207766011,
|
| 393 |
+
"grad_norm": 0.7224613428115845,
|
| 394 |
+
"learning_rate": 7.750768421052632e-05,
|
| 395 |
+
"loss": 0.7536,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.05446293494704992,
|
| 400 |
+
"grad_norm": 0.6757810115814209,
|
| 401 |
+
"learning_rate": 7.698042105263157e-05,
|
| 402 |
+
"loss": 0.6169,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.05547150781643974,
|
| 407 |
+
"grad_norm": 0.7635074257850647,
|
| 408 |
+
"learning_rate": 7.645315789473686e-05,
|
| 409 |
+
"loss": 0.6307,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.05648008068582955,
|
| 414 |
+
"grad_norm": 0.6975710988044739,
|
| 415 |
+
"learning_rate": 7.592589473684211e-05,
|
| 416 |
+
"loss": 0.6233,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.057488653555219364,
|
| 421 |
+
"grad_norm": 0.9252186417579651,
|
| 422 |
+
"learning_rate": 7.539863157894737e-05,
|
| 423 |
+
"loss": 0.6551,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.05849722642460918,
|
| 428 |
+
"grad_norm": 0.8248884677886963,
|
| 429 |
+
"learning_rate": 7.487136842105264e-05,
|
| 430 |
+
"loss": 0.5789,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.05950579929399899,
|
| 435 |
+
"grad_norm": 0.6074532866477966,
|
| 436 |
+
"learning_rate": 7.43441052631579e-05,
|
| 437 |
+
"loss": 0.5004,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.060514372163388806,
|
| 442 |
+
"grad_norm": 0.6752936244010925,
|
| 443 |
+
"learning_rate": 7.381684210526315e-05,
|
| 444 |
+
"loss": 0.4884,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.061522945032778616,
|
| 449 |
+
"grad_norm": 0.7720556259155273,
|
| 450 |
+
"learning_rate": 7.328957894736844e-05,
|
| 451 |
+
"loss": 0.7758,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.06253151790216843,
|
| 456 |
+
"grad_norm": 0.699116051197052,
|
| 457 |
+
"learning_rate": 7.276231578947369e-05,
|
| 458 |
+
"loss": 0.5716,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.06354009077155824,
|
| 463 |
+
"grad_norm": 0.7762227058410645,
|
| 464 |
+
"learning_rate": 7.223505263157895e-05,
|
| 465 |
+
"loss": 0.6935,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.06454866364094806,
|
| 470 |
+
"grad_norm": 0.6913344264030457,
|
| 471 |
+
"learning_rate": 7.170778947368422e-05,
|
| 472 |
+
"loss": 0.6068,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.06555723651033787,
|
| 477 |
+
"grad_norm": 0.7144531011581421,
|
| 478 |
+
"learning_rate": 7.118052631578947e-05,
|
| 479 |
+
"loss": 0.6431,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.06656580937972768,
|
| 484 |
+
"grad_norm": 0.6667282581329346,
|
| 485 |
+
"learning_rate": 7.065326315789474e-05,
|
| 486 |
+
"loss": 0.5421,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.06757438224911749,
|
| 491 |
+
"grad_norm": 0.6969847083091736,
|
| 492 |
+
"learning_rate": 7.0126e-05,
|
| 493 |
+
"loss": 0.6785,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.06858295511850732,
|
| 498 |
+
"grad_norm": 0.6973515748977661,
|
| 499 |
+
"learning_rate": 6.959873684210527e-05,
|
| 500 |
+
"loss": 0.5455,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.06959152798789713,
|
| 505 |
+
"grad_norm": 0.7713499069213867,
|
| 506 |
+
"learning_rate": 6.907147368421054e-05,
|
| 507 |
+
"loss": 0.7372,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.07060010085728693,
|
| 512 |
+
"grad_norm": 0.5957585573196411,
|
| 513 |
+
"learning_rate": 6.85442105263158e-05,
|
| 514 |
+
"loss": 0.4954,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.07160867372667676,
|
| 519 |
+
"grad_norm": 0.7025538086891174,
|
| 520 |
+
"learning_rate": 6.801694736842105e-05,
|
| 521 |
+
"loss": 0.5496,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.07261724659606657,
|
| 526 |
+
"grad_norm": 0.7217448353767395,
|
| 527 |
+
"learning_rate": 6.748968421052632e-05,
|
| 528 |
+
"loss": 0.5567,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.07362581946545638,
|
| 533 |
+
"grad_norm": 0.7021524906158447,
|
| 534 |
+
"learning_rate": 6.696242105263158e-05,
|
| 535 |
+
"loss": 0.5291,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.07463439233484619,
|
| 540 |
+
"grad_norm": 0.7426285743713379,
|
| 541 |
+
"learning_rate": 6.643515789473685e-05,
|
| 542 |
+
"loss": 0.6815,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.07564296520423601,
|
| 547 |
+
"grad_norm": 0.7391223311424255,
|
| 548 |
+
"learning_rate": 6.590789473684212e-05,
|
| 549 |
+
"loss": 0.6689,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.07665153807362582,
|
| 554 |
+
"grad_norm": 0.6848605871200562,
|
| 555 |
+
"learning_rate": 6.538063157894737e-05,
|
| 556 |
+
"loss": 0.5782,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.07766011094301563,
|
| 561 |
+
"grad_norm": 0.711951732635498,
|
| 562 |
+
"learning_rate": 6.485336842105264e-05,
|
| 563 |
+
"loss": 0.5801,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.07866868381240545,
|
| 568 |
+
"grad_norm": 0.5852221846580505,
|
| 569 |
+
"learning_rate": 6.43261052631579e-05,
|
| 570 |
+
"loss": 0.4995,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.07967725668179526,
|
| 575 |
+
"grad_norm": 0.9040377736091614,
|
| 576 |
+
"learning_rate": 6.379884210526315e-05,
|
| 577 |
+
"loss": 0.5318,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.08068582955118507,
|
| 582 |
+
"grad_norm": 0.756641149520874,
|
| 583 |
+
"learning_rate": 6.327157894736842e-05,
|
| 584 |
+
"loss": 0.6616,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.08169440242057488,
|
| 589 |
+
"grad_norm": 0.7158970832824707,
|
| 590 |
+
"learning_rate": 6.274431578947368e-05,
|
| 591 |
+
"loss": 0.6113,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.0827029752899647,
|
| 596 |
+
"grad_norm": 0.6931173205375671,
|
| 597 |
+
"learning_rate": 6.221705263157895e-05,
|
| 598 |
+
"loss": 0.5882,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.08371154815935451,
|
| 603 |
+
"grad_norm": 0.7512569427490234,
|
| 604 |
+
"learning_rate": 6.168978947368422e-05,
|
| 605 |
+
"loss": 0.6451,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.08472012102874432,
|
| 610 |
+
"grad_norm": 0.7793223261833191,
|
| 611 |
+
"learning_rate": 6.116252631578948e-05,
|
| 612 |
+
"loss": 0.6186,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.08572869389813415,
|
| 617 |
+
"grad_norm": 0.7280353307723999,
|
| 618 |
+
"learning_rate": 6.063526315789474e-05,
|
| 619 |
+
"loss": 0.6657,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.08673726676752395,
|
| 624 |
+
"grad_norm": 0.7213184833526611,
|
| 625 |
+
"learning_rate": 6.0108e-05,
|
| 626 |
+
"loss": 0.6312,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.08774583963691376,
|
| 631 |
+
"grad_norm": 0.7809893488883972,
|
| 632 |
+
"learning_rate": 5.9580736842105264e-05,
|
| 633 |
+
"loss": 0.6928,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.08875441250630359,
|
| 638 |
+
"grad_norm": 0.8184586763381958,
|
| 639 |
+
"learning_rate": 5.905347368421053e-05,
|
| 640 |
+
"loss": 0.6551,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.0897629853756934,
|
| 645 |
+
"grad_norm": 0.8529835939407349,
|
| 646 |
+
"learning_rate": 5.85262105263158e-05,
|
| 647 |
+
"loss": 0.7481,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.0907715582450832,
|
| 652 |
+
"grad_norm": 0.8931265473365784,
|
| 653 |
+
"learning_rate": 5.799894736842106e-05,
|
| 654 |
+
"loss": 0.7928,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.09178013111447302,
|
| 659 |
+
"grad_norm": 0.7958138585090637,
|
| 660 |
+
"learning_rate": 5.747168421052632e-05,
|
| 661 |
+
"loss": 0.6151,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.09278870398386284,
|
| 666 |
+
"grad_norm": 0.7931579351425171,
|
| 667 |
+
"learning_rate": 5.694442105263158e-05,
|
| 668 |
+
"loss": 0.7141,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.09379727685325265,
|
| 673 |
+
"grad_norm": 0.8281200528144836,
|
| 674 |
+
"learning_rate": 5.641715789473684e-05,
|
| 675 |
+
"loss": 0.6538,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.09480584972264246,
|
| 680 |
+
"grad_norm": 0.8042008280754089,
|
| 681 |
+
"learning_rate": 5.5889894736842104e-05,
|
| 682 |
+
"loss": 0.6661,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.09581442259203228,
|
| 687 |
+
"grad_norm": 0.8040047287940979,
|
| 688 |
+
"learning_rate": 5.5362631578947374e-05,
|
| 689 |
+
"loss": 0.5659,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.09682299546142209,
|
| 694 |
+
"grad_norm": 1.044537901878357,
|
| 695 |
+
"learning_rate": 5.483536842105264e-05,
|
| 696 |
+
"loss": 0.835,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.0978315683308119,
|
| 701 |
+
"grad_norm": 0.9413779377937317,
|
| 702 |
+
"learning_rate": 5.43081052631579e-05,
|
| 703 |
+
"loss": 0.7605,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.09884014120020171,
|
| 708 |
+
"grad_norm": 0.9656868577003479,
|
| 709 |
+
"learning_rate": 5.378084210526316e-05,
|
| 710 |
+
"loss": 0.7144,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.09984871406959153,
|
| 715 |
+
"grad_norm": 1.0694280862808228,
|
| 716 |
+
"learning_rate": 5.3253578947368426e-05,
|
| 717 |
+
"loss": 0.8615,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.10085728693898134,
|
| 722 |
+
"grad_norm": 1.2606571912765503,
|
| 723 |
+
"learning_rate": 5.272631578947368e-05,
|
| 724 |
+
"loss": 0.8549,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.10085728693898134,
|
| 729 |
+
"eval_loss": 0.635071337223053,
|
| 730 |
+
"eval_runtime": 47.0624,
|
| 731 |
+
"eval_samples_per_second": 8.882,
|
| 732 |
+
"eval_steps_per_second": 2.231,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 8.648580773235917e+16,
|
| 763 |
"train_batch_size": 4,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|