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:cb610103a64f11ffddf59071f6e7b48e73e9f4f7b6076bbceb75adebad3bf54c
|
| 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 sha256:31aad0dbac4224bd9e0e5c6a62650086ee40fe2677dd32d46948ef63ec1d3a70
|
| 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 sha256:045b75fd050c10a4fe14a1c98e12907f7f4ce5a7257e00e93adf6da74be770bb
|
| 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 sha256:4fe6f0a2f7a14e66c6816df9a38574183cedfa2cc544d1c8e8e8cea1139c2f76
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 1.
|
| 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": 7.895,
|
| 374 |
"eval_steps_per_second": 1.989,
|
| 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": 1.4105467796325684,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.1119194180190263,
|
| 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": 7.895,
|
| 374 |
"eval_steps_per_second": 1.989,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.05707890318970341,
|
| 379 |
+
"grad_norm": 0.8516172170639038,
|
| 380 |
+
"learning_rate": 7.889157894736843e-05,
|
| 381 |
+
"loss": 1.9615,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.058198097369893675,
|
| 386 |
+
"grad_norm": 0.7036626935005188,
|
| 387 |
+
"learning_rate": 7.83621052631579e-05,
|
| 388 |
+
"loss": 2.1477,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.05931729155008394,
|
| 393 |
+
"grad_norm": 0.7194252014160156,
|
| 394 |
+
"learning_rate": 7.783263157894737e-05,
|
| 395 |
+
"loss": 2.3045,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.0604364857302742,
|
| 400 |
+
"grad_norm": 0.7690565586090088,
|
| 401 |
+
"learning_rate": 7.730315789473684e-05,
|
| 402 |
+
"loss": 2.2782,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.06155567991046446,
|
| 407 |
+
"grad_norm": 0.6265071630477905,
|
| 408 |
+
"learning_rate": 7.677368421052632e-05,
|
| 409 |
+
"loss": 1.7766,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.06267487409065473,
|
| 414 |
+
"grad_norm": 0.6072700619697571,
|
| 415 |
+
"learning_rate": 7.624421052631579e-05,
|
| 416 |
+
"loss": 1.8207,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.063794068270845,
|
| 421 |
+
"grad_norm": 0.5296346545219421,
|
| 422 |
+
"learning_rate": 7.571473684210526e-05,
|
| 423 |
+
"loss": 1.2979,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.06491326245103525,
|
| 428 |
+
"grad_norm": 0.6143375635147095,
|
| 429 |
+
"learning_rate": 7.518526315789475e-05,
|
| 430 |
+
"loss": 1.7014,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.06603245663122552,
|
| 435 |
+
"grad_norm": 0.5131465196609497,
|
| 436 |
+
"learning_rate": 7.465578947368422e-05,
|
| 437 |
+
"loss": 1.1046,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.06715165081141578,
|
| 442 |
+
"grad_norm": 0.5977643728256226,
|
| 443 |
+
"learning_rate": 7.412631578947369e-05,
|
| 444 |
+
"loss": 1.6154,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.06827084499160604,
|
| 449 |
+
"grad_norm": 0.5476318001747131,
|
| 450 |
+
"learning_rate": 7.359684210526317e-05,
|
| 451 |
+
"loss": 1.3177,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.0693900391717963,
|
| 456 |
+
"grad_norm": 0.6704787611961365,
|
| 457 |
+
"learning_rate": 7.306736842105264e-05,
|
| 458 |
+
"loss": 1.7062,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.07050923335198657,
|
| 463 |
+
"grad_norm": 0.6229788064956665,
|
| 464 |
+
"learning_rate": 7.253789473684211e-05,
|
| 465 |
+
"loss": 1.4367,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.07162842753217684,
|
| 470 |
+
"grad_norm": 0.6314613819122314,
|
| 471 |
+
"learning_rate": 7.200842105263158e-05,
|
| 472 |
+
"loss": 1.5649,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.0727476217123671,
|
| 477 |
+
"grad_norm": 0.6403206586837769,
|
| 478 |
+
"learning_rate": 7.147894736842105e-05,
|
| 479 |
+
"loss": 1.8579,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.07386681589255736,
|
| 484 |
+
"grad_norm": 0.5655908584594727,
|
| 485 |
+
"learning_rate": 7.094947368421052e-05,
|
| 486 |
+
"loss": 1.119,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.07498601007274762,
|
| 491 |
+
"grad_norm": 0.502298891544342,
|
| 492 |
+
"learning_rate": 7.042e-05,
|
| 493 |
+
"loss": 0.8837,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.07610520425293789,
|
| 498 |
+
"grad_norm": 0.5558024048805237,
|
| 499 |
+
"learning_rate": 6.989052631578948e-05,
|
| 500 |
+
"loss": 1.1857,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.07722439843312814,
|
| 505 |
+
"grad_norm": 0.5176172852516174,
|
| 506 |
+
"learning_rate": 6.936105263157896e-05,
|
| 507 |
+
"loss": 0.9946,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.07834359261331841,
|
| 512 |
+
"grad_norm": 0.576248824596405,
|
| 513 |
+
"learning_rate": 6.883157894736843e-05,
|
| 514 |
+
"loss": 0.9529,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.07946278679350867,
|
| 519 |
+
"grad_norm": 0.5664923787117004,
|
| 520 |
+
"learning_rate": 6.83021052631579e-05,
|
| 521 |
+
"loss": 1.1525,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.08058198097369894,
|
| 526 |
+
"grad_norm": 0.6141046285629272,
|
| 527 |
+
"learning_rate": 6.777263157894737e-05,
|
| 528 |
+
"loss": 1.2382,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.0817011751538892,
|
| 533 |
+
"grad_norm": 0.5944051146507263,
|
| 534 |
+
"learning_rate": 6.724315789473684e-05,
|
| 535 |
+
"loss": 1.1227,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.08282036933407946,
|
| 540 |
+
"grad_norm": 0.6328909397125244,
|
| 541 |
+
"learning_rate": 6.671368421052631e-05,
|
| 542 |
+
"loss": 1.1311,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.08393956351426973,
|
| 547 |
+
"grad_norm": 0.5099555850028992,
|
| 548 |
+
"learning_rate": 6.61842105263158e-05,
|
| 549 |
+
"loss": 1.0304,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.08505875769445999,
|
| 554 |
+
"grad_norm": 0.6328510642051697,
|
| 555 |
+
"learning_rate": 6.565473684210527e-05,
|
| 556 |
+
"loss": 0.997,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.08617795187465026,
|
| 561 |
+
"grad_norm": 0.5725546479225159,
|
| 562 |
+
"learning_rate": 6.512526315789474e-05,
|
| 563 |
+
"loss": 0.9623,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.08729714605484051,
|
| 568 |
+
"grad_norm": 0.6395103931427002,
|
| 569 |
+
"learning_rate": 6.459578947368421e-05,
|
| 570 |
+
"loss": 1.5526,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.08841634023503078,
|
| 575 |
+
"grad_norm": 0.6277320981025696,
|
| 576 |
+
"learning_rate": 6.406631578947369e-05,
|
| 577 |
+
"loss": 1.1281,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.08953553441522104,
|
| 582 |
+
"grad_norm": 0.589504063129425,
|
| 583 |
+
"learning_rate": 6.353684210526316e-05,
|
| 584 |
+
"loss": 1.0345,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.09065472859541131,
|
| 589 |
+
"grad_norm": 0.6192626357078552,
|
| 590 |
+
"learning_rate": 6.300736842105263e-05,
|
| 591 |
+
"loss": 0.9688,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.09177392277560156,
|
| 596 |
+
"grad_norm": 0.6085880994796753,
|
| 597 |
+
"learning_rate": 6.247789473684212e-05,
|
| 598 |
+
"loss": 0.8814,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.09289311695579183,
|
| 603 |
+
"grad_norm": 0.6605837345123291,
|
| 604 |
+
"learning_rate": 6.194842105263159e-05,
|
| 605 |
+
"loss": 1.4382,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.09401231113598209,
|
| 610 |
+
"grad_norm": 0.6139897108078003,
|
| 611 |
+
"learning_rate": 6.141894736842106e-05,
|
| 612 |
+
"loss": 1.091,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.09513150531617236,
|
| 617 |
+
"grad_norm": 0.6851410269737244,
|
| 618 |
+
"learning_rate": 6.088947368421053e-05,
|
| 619 |
+
"loss": 1.1183,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.09625069949636261,
|
| 624 |
+
"grad_norm": 0.6170366406440735,
|
| 625 |
+
"learning_rate": 6.036e-05,
|
| 626 |
+
"loss": 1.105,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.09736989367655288,
|
| 631 |
+
"grad_norm": 0.84287029504776,
|
| 632 |
+
"learning_rate": 5.9830526315789475e-05,
|
| 633 |
+
"loss": 1.0071,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.09848908785674315,
|
| 638 |
+
"grad_norm": 0.6654536128044128,
|
| 639 |
+
"learning_rate": 5.9301052631578946e-05,
|
| 640 |
+
"loss": 1.1307,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.09960828203693341,
|
| 645 |
+
"grad_norm": 0.6223897933959961,
|
| 646 |
+
"learning_rate": 5.877157894736843e-05,
|
| 647 |
+
"loss": 0.885,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.10072747621712368,
|
| 652 |
+
"grad_norm": 0.7293018102645874,
|
| 653 |
+
"learning_rate": 5.82421052631579e-05,
|
| 654 |
+
"loss": 1.1569,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.10184667039731393,
|
| 659 |
+
"grad_norm": 0.654303789138794,
|
| 660 |
+
"learning_rate": 5.771263157894737e-05,
|
| 661 |
+
"loss": 0.9901,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.1029658645775042,
|
| 666 |
+
"grad_norm": 0.7520757913589478,
|
| 667 |
+
"learning_rate": 5.718315789473685e-05,
|
| 668 |
+
"loss": 1.4022,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.10408505875769446,
|
| 673 |
+
"grad_norm": 0.7011393904685974,
|
| 674 |
+
"learning_rate": 5.665368421052632e-05,
|
| 675 |
+
"loss": 1.18,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.10520425293788473,
|
| 680 |
+
"grad_norm": 0.7474265098571777,
|
| 681 |
+
"learning_rate": 5.612421052631579e-05,
|
| 682 |
+
"loss": 1.3109,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.10632344711807498,
|
| 687 |
+
"grad_norm": 0.8840892910957336,
|
| 688 |
+
"learning_rate": 5.559473684210527e-05,
|
| 689 |
+
"loss": 1.4722,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.10744264129826525,
|
| 694 |
+
"grad_norm": 0.831760048866272,
|
| 695 |
+
"learning_rate": 5.506526315789474e-05,
|
| 696 |
+
"loss": 1.3972,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.1085618354784555,
|
| 701 |
+
"grad_norm": 1.0217140913009644,
|
| 702 |
+
"learning_rate": 5.453578947368421e-05,
|
| 703 |
+
"loss": 1.6376,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.10968102965864578,
|
| 708 |
+
"grad_norm": 2.1897904872894287,
|
| 709 |
+
"learning_rate": 5.400631578947369e-05,
|
| 710 |
+
"loss": 1.3989,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.11080022383883603,
|
| 715 |
+
"grad_norm": 1.0960580110549927,
|
| 716 |
+
"learning_rate": 5.347684210526316e-05,
|
| 717 |
+
"loss": 1.8274,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.1119194180190263,
|
| 722 |
+
"grad_norm": 1.469871163368225,
|
| 723 |
+
"learning_rate": 5.294736842105263e-05,
|
| 724 |
+
"loss": 2.0208,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.1119194180190263,
|
| 729 |
+
"eval_loss": 1.4105467796325684,
|
| 730 |
+
"eval_runtime": 48.5917,
|
| 731 |
+
"eval_samples_per_second": 7.759,
|
| 732 |
+
"eval_steps_per_second": 1.955,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 4.167268761285427e+16,
|
| 763 |
"train_batch_size": 4,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|