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 sha256:82d67cc171e7cef6437374d3890cd52fa82c29c2f8dc74627b09f129bb934dcb
|
| 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 sha256:04c5cbf95495eff51819f747c1308edcb572b9f9ca9dfc663ea03d9c1d86c57e
|
| 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:ddf2d95f55605664fc73443e4d56e2c5a5e0fe63fdd9ec66adb81e46fa7f6d80
|
| 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:ca7e3cdff407f71f983ac7ffef25e6d551bbdff8be7e11f26e01dcebe54f37b0
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.8274506330490112,
|
| 3 |
"best_model_checkpoint": "miner_id_24/checkpoint-50",
|
| 4 |
-
"epoch":
|
| 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": 13.39,
|
| 374 |
"eval_steps_per_second": 3.347,
|
| 375 |
"step": 50
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 376 |
}
|
| 377 |
],
|
| 378 |
"logging_steps": 1,
|
|
@@ -387,7 +745,7 @@
|
|
| 387 |
"early_stopping_threshold": 0.0
|
| 388 |
},
|
| 389 |
"attributes": {
|
| 390 |
-
"early_stopping_patience_counter":
|
| 391 |
}
|
| 392 |
},
|
| 393 |
"TrainerControl": {
|
|
@@ -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": 0.8274506330490112,
|
| 3 |
"best_model_checkpoint": "miner_id_24/checkpoint-50",
|
| 4 |
+
"epoch": 2.6315789473684212,
|
| 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": 13.39,
|
| 374 |
"eval_steps_per_second": 3.347,
|
| 375 |
"step": 50
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.3421052631578947,
|
| 379 |
+
"grad_norm": 9.546468734741211,
|
| 380 |
+
"learning_rate": 6.631013946104347e-05,
|
| 381 |
+
"loss": 1.7558,
|
| 382 |
+
"step": 51
|
| 383 |
+
},
|
| 384 |
+
{
|
| 385 |
+
"epoch": 1.368421052631579,
|
| 386 |
+
"grad_norm": 9.4080228805542,
|
| 387 |
+
"learning_rate": 6.487515269276016e-05,
|
| 388 |
+
"loss": 1.4641,
|
| 389 |
+
"step": 52
|
| 390 |
+
},
|
| 391 |
+
{
|
| 392 |
+
"epoch": 1.3947368421052633,
|
| 393 |
+
"grad_norm": 7.666134834289551,
|
| 394 |
+
"learning_rate": 6.342659337371885e-05,
|
| 395 |
+
"loss": 1.0689,
|
| 396 |
+
"step": 53
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.4210526315789473,
|
| 400 |
+
"grad_norm": 9.010215759277344,
|
| 401 |
+
"learning_rate": 6.19657832143779e-05,
|
| 402 |
+
"loss": 1.2617,
|
| 403 |
+
"step": 54
|
| 404 |
+
},
|
| 405 |
+
{
|
| 406 |
+
"epoch": 1.4473684210526316,
|
| 407 |
+
"grad_norm": 11.879247665405273,
|
| 408 |
+
"learning_rate": 6.049405510324238e-05,
|
| 409 |
+
"loss": 1.1061,
|
| 410 |
+
"step": 55
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 1.4736842105263157,
|
| 414 |
+
"grad_norm": 15.107841491699219,
|
| 415 |
+
"learning_rate": 5.90127518906953e-05,
|
| 416 |
+
"loss": 1.5306,
|
| 417 |
+
"step": 56
|
| 418 |
+
},
|
| 419 |
+
{
|
| 420 |
+
"epoch": 1.5,
|
| 421 |
+
"grad_norm": 9.882277488708496,
|
| 422 |
+
"learning_rate": 5.752322516373916e-05,
|
| 423 |
+
"loss": 2.4832,
|
| 424 |
+
"step": 57
|
| 425 |
+
},
|
| 426 |
+
{
|
| 427 |
+
"epoch": 1.526315789473684,
|
| 428 |
+
"grad_norm": 8.323047637939453,
|
| 429 |
+
"learning_rate": 5.602683401276615e-05,
|
| 430 |
+
"loss": 1.656,
|
| 431 |
+
"step": 58
|
| 432 |
+
},
|
| 433 |
+
{
|
| 434 |
+
"epoch": 1.5526315789473686,
|
| 435 |
+
"grad_norm": 9.123269081115723,
|
| 436 |
+
"learning_rate": 5.45249437914819e-05,
|
| 437 |
+
"loss": 1.592,
|
| 438 |
+
"step": 59
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 1.5789473684210527,
|
| 442 |
+
"grad_norm": 10.40864086151123,
|
| 443 |
+
"learning_rate": 5.3018924871114305e-05,
|
| 444 |
+
"loss": 1.4905,
|
| 445 |
+
"step": 60
|
| 446 |
+
},
|
| 447 |
+
{
|
| 448 |
+
"epoch": 1.6052631578947367,
|
| 449 |
+
"grad_norm": 9.093459129333496,
|
| 450 |
+
"learning_rate": 5.151015139004445e-05,
|
| 451 |
+
"loss": 1.2591,
|
| 452 |
+
"step": 61
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.631578947368421,
|
| 456 |
+
"grad_norm": 10.694282531738281,
|
| 457 |
+
"learning_rate": 5e-05,
|
| 458 |
+
"loss": 1.351,
|
| 459 |
+
"step": 62
|
| 460 |
+
},
|
| 461 |
+
{
|
| 462 |
+
"epoch": 1.6578947368421053,
|
| 463 |
+
"grad_norm": 12.236539840698242,
|
| 464 |
+
"learning_rate": 4.848984860995557e-05,
|
| 465 |
+
"loss": 1.1828,
|
| 466 |
+
"step": 63
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 1.6842105263157894,
|
| 470 |
+
"grad_norm": 10.095430374145508,
|
| 471 |
+
"learning_rate": 4.6981075128885693e-05,
|
| 472 |
+
"loss": 1.1513,
|
| 473 |
+
"step": 64
|
| 474 |
+
},
|
| 475 |
+
{
|
| 476 |
+
"epoch": 1.7105263157894737,
|
| 477 |
+
"grad_norm": 12.897542953491211,
|
| 478 |
+
"learning_rate": 4.547505620851811e-05,
|
| 479 |
+
"loss": 1.0376,
|
| 480 |
+
"step": 65
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.736842105263158,
|
| 484 |
+
"grad_norm": 10.298996925354004,
|
| 485 |
+
"learning_rate": 4.397316598723385e-05,
|
| 486 |
+
"loss": 2.2939,
|
| 487 |
+
"step": 66
|
| 488 |
+
},
|
| 489 |
+
{
|
| 490 |
+
"epoch": 1.763157894736842,
|
| 491 |
+
"grad_norm": 8.406174659729004,
|
| 492 |
+
"learning_rate": 4.2476774836260845e-05,
|
| 493 |
+
"loss": 1.4841,
|
| 494 |
+
"step": 67
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.7894736842105263,
|
| 498 |
+
"grad_norm": 8.802860260009766,
|
| 499 |
+
"learning_rate": 4.0987248109304714e-05,
|
| 500 |
+
"loss": 1.567,
|
| 501 |
+
"step": 68
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.8157894736842106,
|
| 505 |
+
"grad_norm": 10.089945793151855,
|
| 506 |
+
"learning_rate": 3.950594489675763e-05,
|
| 507 |
+
"loss": 1.2052,
|
| 508 |
+
"step": 69
|
| 509 |
+
},
|
| 510 |
+
{
|
| 511 |
+
"epoch": 1.8421052631578947,
|
| 512 |
+
"grad_norm": 11.97966194152832,
|
| 513 |
+
"learning_rate": 3.803421678562213e-05,
|
| 514 |
+
"loss": 1.4612,
|
| 515 |
+
"step": 70
|
| 516 |
+
},
|
| 517 |
+
{
|
| 518 |
+
"epoch": 1.868421052631579,
|
| 519 |
+
"grad_norm": 11.531331062316895,
|
| 520 |
+
"learning_rate": 3.657340662628116e-05,
|
| 521 |
+
"loss": 1.2934,
|
| 522 |
+
"step": 71
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 1.8947368421052633,
|
| 526 |
+
"grad_norm": 8.967305183410645,
|
| 527 |
+
"learning_rate": 3.512484730723986e-05,
|
| 528 |
+
"loss": 1.1132,
|
| 529 |
+
"step": 72
|
| 530 |
+
},
|
| 531 |
+
{
|
| 532 |
+
"epoch": 1.9210526315789473,
|
| 533 |
+
"grad_norm": 22.837160110473633,
|
| 534 |
+
"learning_rate": 3.368986053895655e-05,
|
| 535 |
+
"loss": 1.2606,
|
| 536 |
+
"step": 73
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 1.9473684210526314,
|
| 540 |
+
"grad_norm": 14.750879287719727,
|
| 541 |
+
"learning_rate": 3.226975564787322e-05,
|
| 542 |
+
"loss": 1.2884,
|
| 543 |
+
"step": 74
|
| 544 |
+
},
|
| 545 |
+
{
|
| 546 |
+
"epoch": 1.973684210526316,
|
| 547 |
+
"grad_norm": 10.757916450500488,
|
| 548 |
+
"learning_rate": 3.086582838174551e-05,
|
| 549 |
+
"loss": 1.8587,
|
| 550 |
+
"step": 75
|
| 551 |
+
},
|
| 552 |
+
{
|
| 553 |
+
"epoch": 2.0,
|
| 554 |
+
"grad_norm": 15.325807571411133,
|
| 555 |
+
"learning_rate": 2.9479359727362173e-05,
|
| 556 |
+
"loss": 1.2197,
|
| 557 |
+
"step": 76
|
| 558 |
+
},
|
| 559 |
+
{
|
| 560 |
+
"epoch": 2.026315789473684,
|
| 561 |
+
"grad_norm": 5.313655853271484,
|
| 562 |
+
"learning_rate": 2.811161474173297e-05,
|
| 563 |
+
"loss": 1.1478,
|
| 564 |
+
"step": 77
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 2.0526315789473686,
|
| 568 |
+
"grad_norm": 5.582791328430176,
|
| 569 |
+
"learning_rate": 2.6763841397811573e-05,
|
| 570 |
+
"loss": 0.6872,
|
| 571 |
+
"step": 78
|
| 572 |
+
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 2.0789473684210527,
|
| 575 |
+
"grad_norm": 4.926303863525391,
|
| 576 |
+
"learning_rate": 2.5437269445806145e-05,
|
| 577 |
+
"loss": 0.5424,
|
| 578 |
+
"step": 79
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.1052631578947367,
|
| 582 |
+
"grad_norm": 7.606872081756592,
|
| 583 |
+
"learning_rate": 2.4133109291117156e-05,
|
| 584 |
+
"loss": 0.5015,
|
| 585 |
+
"step": 80
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 2.1315789473684212,
|
| 589 |
+
"grad_norm": 5.713882923126221,
|
| 590 |
+
"learning_rate": 2.2852550889926067e-05,
|
| 591 |
+
"loss": 0.4867,
|
| 592 |
+
"step": 81
|
| 593 |
+
},
|
| 594 |
+
{
|
| 595 |
+
"epoch": 2.1578947368421053,
|
| 596 |
+
"grad_norm": 8.591730117797852,
|
| 597 |
+
"learning_rate": 2.1596762663442218e-05,
|
| 598 |
+
"loss": 0.4267,
|
| 599 |
+
"step": 82
|
| 600 |
+
},
|
| 601 |
+
{
|
| 602 |
+
"epoch": 2.1842105263157894,
|
| 603 |
+
"grad_norm": 12.103515625,
|
| 604 |
+
"learning_rate": 2.0366890431799167e-05,
|
| 605 |
+
"loss": 0.2807,
|
| 606 |
+
"step": 83
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 2.2105263157894735,
|
| 610 |
+
"grad_norm": 8.517769813537598,
|
| 611 |
+
"learning_rate": 1.9164056368572846e-05,
|
| 612 |
+
"loss": 0.3038,
|
| 613 |
+
"step": 84
|
| 614 |
+
},
|
| 615 |
+
{
|
| 616 |
+
"epoch": 2.236842105263158,
|
| 617 |
+
"grad_norm": 6.122335433959961,
|
| 618 |
+
"learning_rate": 1.7989357976875603e-05,
|
| 619 |
+
"loss": 0.3068,
|
| 620 |
+
"step": 85
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.263157894736842,
|
| 624 |
+
"grad_norm": 9.968849182128906,
|
| 625 |
+
"learning_rate": 1.684386708796025e-05,
|
| 626 |
+
"loss": 1.396,
|
| 627 |
+
"step": 86
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.2894736842105265,
|
| 631 |
+
"grad_norm": 10.96872615814209,
|
| 632 |
+
"learning_rate": 1.5728628883248007e-05,
|
| 633 |
+
"loss": 0.5336,
|
| 634 |
+
"step": 87
|
| 635 |
+
},
|
| 636 |
+
{
|
| 637 |
+
"epoch": 2.3157894736842106,
|
| 638 |
+
"grad_norm": 7.527137279510498,
|
| 639 |
+
"learning_rate": 1.4644660940672627e-05,
|
| 640 |
+
"loss": 0.5198,
|
| 641 |
+
"step": 88
|
| 642 |
+
},
|
| 643 |
+
{
|
| 644 |
+
"epoch": 2.3421052631578947,
|
| 645 |
+
"grad_norm": 6.584356784820557,
|
| 646 |
+
"learning_rate": 1.3592952306210588e-05,
|
| 647 |
+
"loss": 0.3041,
|
| 648 |
+
"step": 89
|
| 649 |
+
},
|
| 650 |
+
{
|
| 651 |
+
"epoch": 2.3684210526315788,
|
| 652 |
+
"grad_norm": 7.736539363861084,
|
| 653 |
+
"learning_rate": 1.257446259144494e-05,
|
| 654 |
+
"loss": 0.4027,
|
| 655 |
+
"step": 90
|
| 656 |
+
},
|
| 657 |
+
{
|
| 658 |
+
"epoch": 2.3947368421052633,
|
| 659 |
+
"grad_norm": 5.754791259765625,
|
| 660 |
+
"learning_rate": 1.159012109798598e-05,
|
| 661 |
+
"loss": 0.2305,
|
| 662 |
+
"step": 91
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.4210526315789473,
|
| 666 |
+
"grad_norm": 6.632175922393799,
|
| 667 |
+
"learning_rate": 1.0640825969547496e-05,
|
| 668 |
+
"loss": 0.2377,
|
| 669 |
+
"step": 92
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.4473684210526314,
|
| 673 |
+
"grad_norm": 12.447802543640137,
|
| 674 |
+
"learning_rate": 9.7274433724527e-06,
|
| 675 |
+
"loss": 0.3519,
|
| 676 |
+
"step": 93
|
| 677 |
+
},
|
| 678 |
+
{
|
| 679 |
+
"epoch": 2.473684210526316,
|
| 680 |
+
"grad_norm": 7.3365702629089355,
|
| 681 |
+
"learning_rate": 8.850806705317183e-06,
|
| 682 |
+
"loss": 0.2841,
|
| 683 |
+
"step": 94
|
| 684 |
+
},
|
| 685 |
+
{
|
| 686 |
+
"epoch": 2.5,
|
| 687 |
+
"grad_norm": 8.352860450744629,
|
| 688 |
+
"learning_rate": 8.011715838630107e-06,
|
| 689 |
+
"loss": 0.9615,
|
| 690 |
+
"step": 95
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 2.526315789473684,
|
| 694 |
+
"grad_norm": 7.111477851867676,
|
| 695 |
+
"learning_rate": 7.21093638492763e-06,
|
| 696 |
+
"loss": 0.4884,
|
| 697 |
+
"step": 96
|
| 698 |
+
},
|
| 699 |
+
{
|
| 700 |
+
"epoch": 2.5526315789473686,
|
| 701 |
+
"grad_norm": 7.582794189453125,
|
| 702 |
+
"learning_rate": 6.449199000224221e-06,
|
| 703 |
+
"loss": 0.5061,
|
| 704 |
+
"step": 97
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.5789473684210527,
|
| 708 |
+
"grad_norm": 8.334342002868652,
|
| 709 |
+
"learning_rate": 5.727198717339511e-06,
|
| 710 |
+
"loss": 0.5218,
|
| 711 |
+
"step": 98
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.6052631578947367,
|
| 715 |
+
"grad_norm": 15.341864585876465,
|
| 716 |
+
"learning_rate": 5.045594311728707e-06,
|
| 717 |
+
"loss": 0.3552,
|
| 718 |
+
"step": 99
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 2.6315789473684212,
|
| 722 |
+
"grad_norm": 8.251885414123535,
|
| 723 |
+
"learning_rate": 4.405007700395497e-06,
|
| 724 |
+
"loss": 0.3264,
|
| 725 |
+
"step": 100
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 2.6315789473684212,
|
| 729 |
+
"eval_loss": 0.9560651779174805,
|
| 730 |
+
"eval_runtime": 4.7813,
|
| 731 |
+
"eval_samples_per_second": 13.385,
|
| 732 |
+
"eval_steps_per_second": 3.346,
|
| 733 |
+
"step": 100
|
| 734 |
}
|
| 735 |
],
|
| 736 |
"logging_steps": 1,
|
|
|
|
| 745 |
"early_stopping_threshold": 0.0
|
| 746 |
},
|
| 747 |
"attributes": {
|
| 748 |
+
"early_stopping_patience_counter": 1
|
| 749 |
}
|
| 750 |
},
|
| 751 |
"TrainerControl": {
|
|
|
|
| 759 |
"attributes": {}
|
| 760 |
}
|
| 761 |
},
|
| 762 |
+
"total_flos": 1.4247389962646323e+17,
|
| 763 |
"train_batch_size": 8,
|
| 764 |
"trial_name": null,
|
| 765 |
"trial_params": null
|