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 sha256:515948f9892eb56522995af4e7447e14a1ce77ab48040cabb3e69bd864966d61
|
| 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:c353dec8a42af643633c760a6b4a39c29024ea6e35a17d7000c75db4efd93084
|
| 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:eabd323f96aa88f0a0c8cc7cb371e7b584d6f9b8cd6ddec15dc9da6604213a40
|
| 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 sha256:6b0f0591a54513981f9045153a7608f989005ce4fb6ed2c798b085bae23c1094
|
| 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": 12.5,
|
| 374 |
"eval_steps_per_second": 3.125,
|
| 375 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 376 |
}
|
| 377 |
],
|
| 378 |
"logging_steps": 1,
|
|
@@ -401,7 +759,7 @@
|
|
| 401 |
"attributes": {}
|
| 402 |
}
|
| 403 |
},
|
| 404 |
-
"total_flos":
|
| 405 |
"train_batch_size": 8,
|
| 406 |
"trial_name": null,
|
| 407 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.423828125,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-100",
|
| 4 |
+
"epoch": 0.0784313725490196,
|
| 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": 12.5,
|
| 374 |
"eval_steps_per_second": 3.125,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 0.04,
|
| 379 |
+
"grad_norm": 14.582710266113281,
|
| 380 |
+
"learning_rate": 8.004947754429507e-05,
|
| 381 |
+
"loss": 4.1472,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 0.0407843137254902,
|
| 386 |
+
"grad_norm": 6.1638922691345215,
|
| 387 |
+
"learning_rate": 7.957804998855866e-05,
|
| 388 |
+
"loss": 2.2978,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 0.04156862745098039,
|
| 393 |
+
"grad_norm": 3.731342077255249,
|
| 394 |
+
"learning_rate": 7.909716913921508e-05,
|
| 395 |
+
"loss": 1.9173,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 0.042352941176470586,
|
| 400 |
+
"grad_norm": 3.8371353149414062,
|
| 401 |
+
"learning_rate": 7.860696646428694e-05,
|
| 402 |
+
"loss": 1.4256,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 0.043137254901960784,
|
| 407 |
+
"grad_norm": 4.627960205078125,
|
| 408 |
+
"learning_rate": 7.810757598029093e-05,
|
| 409 |
+
"loss": 1.6277,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.04392156862745098,
|
| 414 |
+
"grad_norm": 4.3101043701171875,
|
| 415 |
+
"learning_rate": 7.759913421559902e-05,
|
| 416 |
+
"loss": 1.5975,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 0.04470588235294118,
|
| 421 |
+
"grad_norm": 2.9555671215057373,
|
| 422 |
+
"learning_rate": 7.708178017311287e-05,
|
| 423 |
+
"loss": 1.0289,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 0.04549019607843137,
|
| 428 |
+
"grad_norm": 3.413313865661621,
|
| 429 |
+
"learning_rate": 7.655565529226198e-05,
|
| 430 |
+
"loss": 1.3867,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 0.04627450980392157,
|
| 435 |
+
"grad_norm": 3.6849825382232666,
|
| 436 |
+
"learning_rate": 7.602090341033547e-05,
|
| 437 |
+
"loss": 1.2773,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 0.047058823529411764,
|
| 442 |
+
"grad_norm": 3.837523937225342,
|
| 443 |
+
"learning_rate": 7.547767072315837e-05,
|
| 444 |
+
"loss": 1.4187,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 0.04784313725490196,
|
| 449 |
+
"grad_norm": 3.476501226425171,
|
| 450 |
+
"learning_rate": 7.492610574512317e-05,
|
| 451 |
+
"loss": 1.2678,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 0.04862745098039216,
|
| 456 |
+
"grad_norm": 3.9961957931518555,
|
| 457 |
+
"learning_rate": 7.436635926858759e-05,
|
| 458 |
+
"loss": 1.4783,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 0.04941176470588235,
|
| 463 |
+
"grad_norm": 4.245054244995117,
|
| 464 |
+
"learning_rate": 7.379858432264925e-05,
|
| 465 |
+
"loss": 1.5066,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.05019607843137255,
|
| 470 |
+
"grad_norm": 5.134169578552246,
|
| 471 |
+
"learning_rate": 7.322293613130917e-05,
|
| 472 |
+
"loss": 1.4297,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 0.050980392156862744,
|
| 477 |
+
"grad_norm": 4.725772380828857,
|
| 478 |
+
"learning_rate": 7.263957207103507e-05,
|
| 479 |
+
"loss": 1.6951,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 0.05176470588235294,
|
| 484 |
+
"grad_norm": 4.962766647338867,
|
| 485 |
+
"learning_rate": 7.204865162773613e-05,
|
| 486 |
+
"loss": 1.5281,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 0.05254901960784314,
|
| 491 |
+
"grad_norm": 4.3428192138671875,
|
| 492 |
+
"learning_rate": 7.14503363531613e-05,
|
| 493 |
+
"loss": 1.4586,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 0.05333333333333334,
|
| 498 |
+
"grad_norm": 5.0155029296875,
|
| 499 |
+
"learning_rate": 7.084478982073247e-05,
|
| 500 |
+
"loss": 1.5896,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 0.05411764705882353,
|
| 505 |
+
"grad_norm": 4.897243976593018,
|
| 506 |
+
"learning_rate": 7.023217758082528e-05,
|
| 507 |
+
"loss": 1.1711,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 0.054901960784313725,
|
| 512 |
+
"grad_norm": 5.0609612464904785,
|
| 513 |
+
"learning_rate": 6.961266711550922e-05,
|
| 514 |
+
"loss": 1.4897,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 0.05568627450980392,
|
| 519 |
+
"grad_norm": 4.689002990722656,
|
| 520 |
+
"learning_rate": 6.898642779275972e-05,
|
| 521 |
+
"loss": 0.9881,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 0.05647058823529412,
|
| 526 |
+
"grad_norm": 6.720233917236328,
|
| 527 |
+
"learning_rate": 6.835363082015469e-05,
|
| 528 |
+
"loss": 1.5692,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 0.05725490196078432,
|
| 533 |
+
"grad_norm": 5.96003532409668,
|
| 534 |
+
"learning_rate": 6.771444919806798e-05,
|
| 535 |
+
"loss": 1.3238,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 0.05803921568627451,
|
| 540 |
+
"grad_norm": 6.871821880340576,
|
| 541 |
+
"learning_rate": 6.706905767237288e-05,
|
| 542 |
+
"loss": 1.4878,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 0.058823529411764705,
|
| 547 |
+
"grad_norm": 6.003084182739258,
|
| 548 |
+
"learning_rate": 6.641763268666833e-05,
|
| 549 |
+
"loss": 1.5651,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 0.0596078431372549,
|
| 554 |
+
"grad_norm": 6.855623245239258,
|
| 555 |
+
"learning_rate": 6.576035233404096e-05,
|
| 556 |
+
"loss": 1.5011,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 0.0603921568627451,
|
| 561 |
+
"grad_norm": 6.763059616088867,
|
| 562 |
+
"learning_rate": 6.509739630837631e-05,
|
| 563 |
+
"loss": 1.6047,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 0.0611764705882353,
|
| 568 |
+
"grad_norm": 6.753271579742432,
|
| 569 |
+
"learning_rate": 6.442894585523218e-05,
|
| 570 |
+
"loss": 1.5268,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.06196078431372549,
|
| 575 |
+
"grad_norm": 5.556756973266602,
|
| 576 |
+
"learning_rate": 6.375518372228808e-05,
|
| 577 |
+
"loss": 1.0404,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 0.06274509803921569,
|
| 582 |
+
"grad_norm": 6.503464221954346,
|
| 583 |
+
"learning_rate": 6.307629410938363e-05,
|
| 584 |
+
"loss": 1.0106,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 0.06352941176470588,
|
| 589 |
+
"grad_norm": 4.450430870056152,
|
| 590 |
+
"learning_rate": 6.239246261816035e-05,
|
| 591 |
+
"loss": 0.6093,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 0.06431372549019608,
|
| 596 |
+
"grad_norm": 6.413719177246094,
|
| 597 |
+
"learning_rate": 6.170387620131993e-05,
|
| 598 |
+
"loss": 1.238,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 0.06509803921568627,
|
| 603 |
+
"grad_norm": 5.047544956207275,
|
| 604 |
+
"learning_rate": 6.101072311151325e-05,
|
| 605 |
+
"loss": 0.8442,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 0.06588235294117648,
|
| 610 |
+
"grad_norm": 7.372629165649414,
|
| 611 |
+
"learning_rate": 6.0313192849873945e-05,
|
| 612 |
+
"loss": 1.4398,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 0.06666666666666667,
|
| 617 |
+
"grad_norm": 9.576523780822754,
|
| 618 |
+
"learning_rate": 5.961147611421077e-05,
|
| 619 |
+
"loss": 1.4834,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 0.06745098039215686,
|
| 624 |
+
"grad_norm": 6.8355207443237305,
|
| 625 |
+
"learning_rate": 5.890576474687264e-05,
|
| 626 |
+
"loss": 1.6157,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 0.06823529411764706,
|
| 631 |
+
"grad_norm": 7.017658233642578,
|
| 632 |
+
"learning_rate": 5.8196251682300926e-05,
|
| 633 |
+
"loss": 1.6794,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 0.06901960784313725,
|
| 638 |
+
"grad_norm": 8.371786117553711,
|
| 639 |
+
"learning_rate": 5.748313089428301e-05,
|
| 640 |
+
"loss": 1.5957,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 0.06980392156862746,
|
| 645 |
+
"grad_norm": 10.280915260314941,
|
| 646 |
+
"learning_rate": 5.676659734292189e-05,
|
| 647 |
+
"loss": 2.2618,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 0.07058823529411765,
|
| 652 |
+
"grad_norm": 8.091904640197754,
|
| 653 |
+
"learning_rate": 5.604684692133597e-05,
|
| 654 |
+
"loss": 1.3325,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 0.07137254901960784,
|
| 659 |
+
"grad_norm": 8.49736499786377,
|
| 660 |
+
"learning_rate": 5.532407640210383e-05,
|
| 661 |
+
"loss": 1.4017,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 0.07215686274509804,
|
| 666 |
+
"grad_norm": 7.801628112792969,
|
| 667 |
+
"learning_rate": 5.4598483383468616e-05,
|
| 668 |
+
"loss": 1.3546,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 0.07294117647058823,
|
| 673 |
+
"grad_norm": 9.922377586364746,
|
| 674 |
+
"learning_rate": 5.3870266235316614e-05,
|
| 675 |
+
"loss": 1.8899,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 0.07372549019607844,
|
| 680 |
+
"grad_norm": 12.533098220825195,
|
| 681 |
+
"learning_rate": 5.313962404494496e-05,
|
| 682 |
+
"loss": 1.8032,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 0.07450980392156863,
|
| 687 |
+
"grad_norm": 13.20348072052002,
|
| 688 |
+
"learning_rate": 5.240675656263303e-05,
|
| 689 |
+
"loss": 1.8548,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 0.07529411764705882,
|
| 694 |
+
"grad_norm": 22.03706932067871,
|
| 695 |
+
"learning_rate": 5.167186414703289e-05,
|
| 696 |
+
"loss": 2.4985,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 0.07607843137254902,
|
| 701 |
+
"grad_norm": 18.293331146240234,
|
| 702 |
+
"learning_rate": 5.093514771039311e-05,
|
| 703 |
+
"loss": 1.9427,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 0.07686274509803921,
|
| 708 |
+
"grad_norm": 19.484935760498047,
|
| 709 |
+
"learning_rate": 5.019680866363139e-05,
|
| 710 |
+
"loss": 2.3599,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.07764705882352942,
|
| 715 |
+
"grad_norm": 19.723976135253906,
|
| 716 |
+
"learning_rate": 4.9457048861270835e-05,
|
| 717 |
+
"loss": 2.401,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.0784313725490196,
|
| 722 |
+
"grad_norm": 19.807950973510742,
|
| 723 |
+
"learning_rate": 4.871607054625497e-05,
|
| 724 |
+
"loss": 1.9219,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.0784313725490196,
|
| 729 |
+
"eval_loss": 0.423828125,
|
| 730 |
+
"eval_runtime": 172.1475,
|
| 731 |
+
"eval_samples_per_second": 12.478,
|
| 732 |
+
"eval_steps_per_second": 3.119,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 1.513282097727406e+17,
|
| 763 |
"train_batch_size": 8,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|