Training in progress, step 75, 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 250422888
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0689a953157233bf208a20f418748fbfcc9e20057ae11752f3b293537a1d462d
|
| 3 |
size 250422888
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 501168482
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:783e1fa3ccd3430c0d96c0692eede506df7e1022e53fe61cabaae858838adae7
|
| 3 |
size 501168482
|
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 sha256:48dd86fc5540a24f298422a5c3bb5e0f44a9ac0b58f6b408b534b62ac73901ef
|
| 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:f23e2214bcafb439ebc7528dcc283ef6218d509a276c0baff0743503ecbe3d92
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 9,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -405,6 +405,205 @@
|
|
| 405 |
"learning_rate": 5.868240888334653e-05,
|
| 406 |
"loss": 2.0774,
|
| 407 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 408 |
}
|
| 409 |
],
|
| 410 |
"logging_steps": 1,
|
|
@@ -424,7 +623,7 @@
|
|
| 424 |
"attributes": {}
|
| 425 |
}
|
| 426 |
},
|
| 427 |
-
"total_flos": 1.
|
| 428 |
"train_batch_size": 8,
|
| 429 |
"trial_name": null,
|
| 430 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 0.45045045045045046,
|
| 5 |
"eval_steps": 9,
|
| 6 |
+
"global_step": 75,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 405 |
"learning_rate": 5.868240888334653e-05,
|
| 406 |
"loss": 2.0774,
|
| 407 |
"step": 50
|
| 408 |
+
},
|
| 409 |
+
{
|
| 410 |
+
"epoch": 0.3063063063063063,
|
| 411 |
+
"grad_norm": 0.8249204754829407,
|
| 412 |
+
"learning_rate": 5.695865504800327e-05,
|
| 413 |
+
"loss": 2.0988,
|
| 414 |
+
"step": 51
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 0.3123123123123123,
|
| 418 |
+
"grad_norm": 0.630953848361969,
|
| 419 |
+
"learning_rate": 5.522642316338268e-05,
|
| 420 |
+
"loss": 2.0808,
|
| 421 |
+
"step": 52
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.3183183183183183,
|
| 425 |
+
"grad_norm": 0.6519582867622375,
|
| 426 |
+
"learning_rate": 5.348782368720626e-05,
|
| 427 |
+
"loss": 2.0949,
|
| 428 |
+
"step": 53
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 0.32432432432432434,
|
| 432 |
+
"grad_norm": 0.6942300200462341,
|
| 433 |
+
"learning_rate": 5.174497483512506e-05,
|
| 434 |
+
"loss": 2.1692,
|
| 435 |
+
"step": 54
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 0.32432432432432434,
|
| 439 |
+
"eval_loss": 1.0634726285934448,
|
| 440 |
+
"eval_runtime": 20.9032,
|
| 441 |
+
"eval_samples_per_second": 6.698,
|
| 442 |
+
"eval_steps_per_second": 0.861,
|
| 443 |
+
"step": 54
|
| 444 |
+
},
|
| 445 |
+
{
|
| 446 |
+
"epoch": 0.3303303303303303,
|
| 447 |
+
"grad_norm": 0.6861055493354797,
|
| 448 |
+
"learning_rate": 5e-05,
|
| 449 |
+
"loss": 2.1522,
|
| 450 |
+
"step": 55
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 0.33633633633633636,
|
| 454 |
+
"grad_norm": 0.776831865310669,
|
| 455 |
+
"learning_rate": 4.825502516487497e-05,
|
| 456 |
+
"loss": 2.1213,
|
| 457 |
+
"step": 56
|
| 458 |
+
},
|
| 459 |
+
{
|
| 460 |
+
"epoch": 0.34234234234234234,
|
| 461 |
+
"grad_norm": 0.747948944568634,
|
| 462 |
+
"learning_rate": 4.6512176312793736e-05,
|
| 463 |
+
"loss": 2.3263,
|
| 464 |
+
"step": 57
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 0.3483483483483483,
|
| 468 |
+
"grad_norm": 0.7790858149528503,
|
| 469 |
+
"learning_rate": 4.477357683661734e-05,
|
| 470 |
+
"loss": 2.1892,
|
| 471 |
+
"step": 58
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 0.35435435435435436,
|
| 475 |
+
"grad_norm": 0.6770322918891907,
|
| 476 |
+
"learning_rate": 4.3041344951996746e-05,
|
| 477 |
+
"loss": 2.1512,
|
| 478 |
+
"step": 59
|
| 479 |
+
},
|
| 480 |
+
{
|
| 481 |
+
"epoch": 0.36036036036036034,
|
| 482 |
+
"grad_norm": 0.7639994621276855,
|
| 483 |
+
"learning_rate": 4.131759111665349e-05,
|
| 484 |
+
"loss": 2.1758,
|
| 485 |
+
"step": 60
|
| 486 |
+
},
|
| 487 |
+
{
|
| 488 |
+
"epoch": 0.3663663663663664,
|
| 489 |
+
"grad_norm": 0.7350506782531738,
|
| 490 |
+
"learning_rate": 3.960441545911204e-05,
|
| 491 |
+
"loss": 2.2394,
|
| 492 |
+
"step": 61
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 0.37237237237237236,
|
| 496 |
+
"grad_norm": 0.7804369926452637,
|
| 497 |
+
"learning_rate": 3.790390522001662e-05,
|
| 498 |
+
"loss": 2.0869,
|
| 499 |
+
"step": 62
|
| 500 |
+
},
|
| 501 |
+
{
|
| 502 |
+
"epoch": 0.3783783783783784,
|
| 503 |
+
"grad_norm": 0.6832085847854614,
|
| 504 |
+
"learning_rate": 3.6218132209150045e-05,
|
| 505 |
+
"loss": 2.1623,
|
| 506 |
+
"step": 63
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 0.3783783783783784,
|
| 510 |
+
"eval_loss": 1.0578171014785767,
|
| 511 |
+
"eval_runtime": 20.8929,
|
| 512 |
+
"eval_samples_per_second": 6.701,
|
| 513 |
+
"eval_steps_per_second": 0.862,
|
| 514 |
+
"step": 63
|
| 515 |
+
},
|
| 516 |
+
{
|
| 517 |
+
"epoch": 0.3843843843843844,
|
| 518 |
+
"grad_norm": 0.6266286969184875,
|
| 519 |
+
"learning_rate": 3.4549150281252636e-05,
|
| 520 |
+
"loss": 1.9084,
|
| 521 |
+
"step": 64
|
| 522 |
+
},
|
| 523 |
+
{
|
| 524 |
+
"epoch": 0.39039039039039036,
|
| 525 |
+
"grad_norm": 0.7004335522651672,
|
| 526 |
+
"learning_rate": 3.289899283371657e-05,
|
| 527 |
+
"loss": 2.0813,
|
| 528 |
+
"step": 65
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 0.3963963963963964,
|
| 532 |
+
"grad_norm": 0.7086822390556335,
|
| 533 |
+
"learning_rate": 3.12696703292044e-05,
|
| 534 |
+
"loss": 2.0428,
|
| 535 |
+
"step": 66
|
| 536 |
+
},
|
| 537 |
+
{
|
| 538 |
+
"epoch": 0.4024024024024024,
|
| 539 |
+
"grad_norm": 0.6715360879898071,
|
| 540 |
+
"learning_rate": 2.9663167846209998e-05,
|
| 541 |
+
"loss": 2.237,
|
| 542 |
+
"step": 67
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 0.4084084084084084,
|
| 546 |
+
"grad_norm": 0.681358814239502,
|
| 547 |
+
"learning_rate": 2.8081442660546125e-05,
|
| 548 |
+
"loss": 2.2593,
|
| 549 |
+
"step": 68
|
| 550 |
+
},
|
| 551 |
+
{
|
| 552 |
+
"epoch": 0.4144144144144144,
|
| 553 |
+
"grad_norm": 0.9270521998405457,
|
| 554 |
+
"learning_rate": 2.6526421860705473e-05,
|
| 555 |
+
"loss": 2.0822,
|
| 556 |
+
"step": 69
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.42042042042042044,
|
| 560 |
+
"grad_norm": 0.6439203023910522,
|
| 561 |
+
"learning_rate": 2.500000000000001e-05,
|
| 562 |
+
"loss": 2.0663,
|
| 563 |
+
"step": 70
|
| 564 |
+
},
|
| 565 |
+
{
|
| 566 |
+
"epoch": 0.4264264264264264,
|
| 567 |
+
"grad_norm": 0.6978247761726379,
|
| 568 |
+
"learning_rate": 2.350403678833976e-05,
|
| 569 |
+
"loss": 2.1257,
|
| 570 |
+
"step": 71
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 0.43243243243243246,
|
| 574 |
+
"grad_norm": 0.7858160734176636,
|
| 575 |
+
"learning_rate": 2.2040354826462668e-05,
|
| 576 |
+
"loss": 2.1499,
|
| 577 |
+
"step": 72
|
| 578 |
+
},
|
| 579 |
+
{
|
| 580 |
+
"epoch": 0.43243243243243246,
|
| 581 |
+
"eval_loss": 1.0535194873809814,
|
| 582 |
+
"eval_runtime": 20.8455,
|
| 583 |
+
"eval_samples_per_second": 6.716,
|
| 584 |
+
"eval_steps_per_second": 0.863,
|
| 585 |
+
"step": 72
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.43843843843843844,
|
| 589 |
+
"grad_norm": 0.7479972839355469,
|
| 590 |
+
"learning_rate": 2.061073738537635e-05,
|
| 591 |
+
"loss": 2.1146,
|
| 592 |
+
"step": 73
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.4444444444444444,
|
| 596 |
+
"grad_norm": 0.6571378111839294,
|
| 597 |
+
"learning_rate": 1.9216926233717085e-05,
|
| 598 |
+
"loss": 2.1681,
|
| 599 |
+
"step": 74
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.45045045045045046,
|
| 603 |
+
"grad_norm": 0.771787166595459,
|
| 604 |
+
"learning_rate": 1.7860619515673033e-05,
|
| 605 |
+
"loss": 2.1283,
|
| 606 |
+
"step": 75
|
| 607 |
}
|
| 608 |
],
|
| 609 |
"logging_steps": 1,
|
|
|
|
| 623 |
"attributes": {}
|
| 624 |
}
|
| 625 |
},
|
| 626 |
+
"total_flos": 1.9043369091072e+17,
|
| 627 |
"train_batch_size": 8,
|
| 628 |
"trial_name": null,
|
| 629 |
"trial_params": null
|