Training in progress, step 400, 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 59933632
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:937fc5f94b084d3eb78ca648e5e282469bbf6dfb9116c44545ac208a5eee7095
|
3 |
size 59933632
|
last-checkpoint/optimizer.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 31823460
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a987323893943b5cb6c9038df21203d888c0501f022965597682cf818af9726f
|
3 |
size 31823460
|
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:c7f62f7a514254178aafeb62bbf10dca9fc4851e21b058bd5fd1775d5039612b
|
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 sha256:381144ff10563e73a0d559f4eadf3a4c93568229fcc444bd951eaeaa68432ea4
|
3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
@@ -1,9 +1,9 @@
|
|
1 |
{
|
2 |
"best_metric": 0.5701812505722046,
|
3 |
"best_model_checkpoint": "miner_id_24/checkpoint-250",
|
4 |
-
"epoch": 2.
|
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,
|
@@ -2521,6 +2521,364 @@
|
|
2521 |
"eval_samples_per_second": 7.441,
|
2522 |
"eval_steps_per_second": 7.441,
|
2523 |
"step": 350
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2524 |
}
|
2525 |
],
|
2526 |
"logging_steps": 1,
|
@@ -2535,7 +2893,7 @@
|
|
2535 |
"early_stopping_threshold": 0.0
|
2536 |
},
|
2537 |
"attributes": {
|
2538 |
-
"early_stopping_patience_counter":
|
2539 |
}
|
2540 |
},
|
2541 |
"TrainerControl": {
|
@@ -2544,12 +2902,12 @@
|
|
2544 |
"should_evaluate": false,
|
2545 |
"should_log": false,
|
2546 |
"should_save": true,
|
2547 |
-
"should_training_stop":
|
2548 |
},
|
2549 |
"attributes": {}
|
2550 |
}
|
2551 |
},
|
2552 |
-
"total_flos":
|
2553 |
"train_batch_size": 1,
|
2554 |
"trial_name": null,
|
2555 |
"trial_params": null
|
|
|
1 |
{
|
2 |
"best_metric": 0.5701812505722046,
|
3 |
"best_model_checkpoint": "miner_id_24/checkpoint-250",
|
4 |
+
"epoch": 2.9304029304029307,
|
5 |
"eval_steps": 50,
|
6 |
+
"global_step": 400,
|
7 |
"is_hyper_param_search": false,
|
8 |
"is_local_process_zero": true,
|
9 |
"is_world_process_zero": true,
|
|
|
2521 |
"eval_samples_per_second": 7.441,
|
2522 |
"eval_steps_per_second": 7.441,
|
2523 |
"step": 350
|
2524 |
+
},
|
2525 |
+
{
|
2526 |
+
"epoch": 2.571428571428571,
|
2527 |
+
"grad_norm": 0.5820057988166809,
|
2528 |
+
"learning_rate": 1.4928145131487267e-05,
|
2529 |
+
"loss": 0.4702,
|
2530 |
+
"step": 351
|
2531 |
+
},
|
2532 |
+
{
|
2533 |
+
"epoch": 2.578754578754579,
|
2534 |
+
"grad_norm": 0.5424510836601257,
|
2535 |
+
"learning_rate": 1.4417429926676482e-05,
|
2536 |
+
"loss": 0.4174,
|
2537 |
+
"step": 352
|
2538 |
+
},
|
2539 |
+
{
|
2540 |
+
"epoch": 2.586080586080586,
|
2541 |
+
"grad_norm": 0.6577489376068115,
|
2542 |
+
"learning_rate": 1.39151623581778e-05,
|
2543 |
+
"loss": 0.4169,
|
2544 |
+
"step": 353
|
2545 |
+
},
|
2546 |
+
{
|
2547 |
+
"epoch": 2.5934065934065935,
|
2548 |
+
"grad_norm": 0.5944687128067017,
|
2549 |
+
"learning_rate": 1.3421373720380669e-05,
|
2550 |
+
"loss": 0.4272,
|
2551 |
+
"step": 354
|
2552 |
+
},
|
2553 |
+
{
|
2554 |
+
"epoch": 2.600732600732601,
|
2555 |
+
"grad_norm": 0.7125936150550842,
|
2556 |
+
"learning_rate": 1.2936094779384486e-05,
|
2557 |
+
"loss": 0.4438,
|
2558 |
+
"step": 355
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 2.608058608058608,
|
2562 |
+
"grad_norm": 0.679352879524231,
|
2563 |
+
"learning_rate": 1.245935577108168e-05,
|
2564 |
+
"loss": 0.4949,
|
2565 |
+
"step": 356
|
2566 |
+
},
|
2567 |
+
{
|
2568 |
+
"epoch": 2.6153846153846154,
|
2569 |
+
"grad_norm": 1.0750776529312134,
|
2570 |
+
"learning_rate": 1.199118639927385e-05,
|
2571 |
+
"loss": 0.3986,
|
2572 |
+
"step": 357
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 2.6227106227106227,
|
2576 |
+
"grad_norm": 0.8349664211273193,
|
2577 |
+
"learning_rate": 1.1531615833820906e-05,
|
2578 |
+
"loss": 0.4152,
|
2579 |
+
"step": 358
|
2580 |
+
},
|
2581 |
+
{
|
2582 |
+
"epoch": 2.63003663003663,
|
2583 |
+
"grad_norm": 0.770355761051178,
|
2584 |
+
"learning_rate": 1.108067270882384e-05,
|
2585 |
+
"loss": 0.4878,
|
2586 |
+
"step": 359
|
2587 |
+
},
|
2588 |
+
{
|
2589 |
+
"epoch": 2.6373626373626373,
|
2590 |
+
"grad_norm": 0.7165803909301758,
|
2591 |
+
"learning_rate": 1.0638385120840414e-05,
|
2592 |
+
"loss": 0.3852,
|
2593 |
+
"step": 360
|
2594 |
+
},
|
2595 |
+
{
|
2596 |
+
"epoch": 2.6446886446886446,
|
2597 |
+
"grad_norm": 0.7379334568977356,
|
2598 |
+
"learning_rate": 1.0204780627134784e-05,
|
2599 |
+
"loss": 0.4758,
|
2600 |
+
"step": 361
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 2.652014652014652,
|
2604 |
+
"grad_norm": 0.6477860808372498,
|
2605 |
+
"learning_rate": 9.77988624396025e-06,
|
2606 |
+
"loss": 0.3718,
|
2607 |
+
"step": 362
|
2608 |
+
},
|
2609 |
+
{
|
2610 |
+
"epoch": 2.659340659340659,
|
2611 |
+
"grad_norm": 0.6215366721153259,
|
2612 |
+
"learning_rate": 9.363728444876239e-06,
|
2613 |
+
"loss": 0.3146,
|
2614 |
+
"step": 363
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 2.6666666666666665,
|
2618 |
+
"grad_norm": 0.7191038727760315,
|
2619 |
+
"learning_rate": 8.956333159098677e-06,
|
2620 |
+
"loss": 0.2567,
|
2621 |
+
"step": 364
|
2622 |
+
},
|
2623 |
+
{
|
2624 |
+
"epoch": 2.6739926739926743,
|
2625 |
+
"grad_norm": 0.6438663005828857,
|
2626 |
+
"learning_rate": 8.557725769884444e-06,
|
2627 |
+
"loss": 0.3366,
|
2628 |
+
"step": 365
|
2629 |
+
},
|
2630 |
+
{
|
2631 |
+
"epoch": 2.6813186813186816,
|
2632 |
+
"grad_norm": 0.7834159135818481,
|
2633 |
+
"learning_rate": 8.167931112949955e-06,
|
2634 |
+
"loss": 0.2802,
|
2635 |
+
"step": 366
|
2636 |
+
},
|
2637 |
+
{
|
2638 |
+
"epoch": 2.688644688644689,
|
2639 |
+
"grad_norm": 0.687300443649292,
|
2640 |
+
"learning_rate": 7.786973474923569e-06,
|
2641 |
+
"loss": 0.3275,
|
2642 |
+
"step": 367
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 2.695970695970696,
|
2646 |
+
"grad_norm": 0.633350133895874,
|
2647 |
+
"learning_rate": 7.41487659183258e-06,
|
2648 |
+
"loss": 0.2462,
|
2649 |
+
"step": 368
|
2650 |
+
},
|
2651 |
+
{
|
2652 |
+
"epoch": 2.7032967032967035,
|
2653 |
+
"grad_norm": 0.8299592137336731,
|
2654 |
+
"learning_rate": 7.051663647624117e-06,
|
2655 |
+
"loss": 0.2847,
|
2656 |
+
"step": 369
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 2.7106227106227108,
|
2660 |
+
"grad_norm": 0.6400296688079834,
|
2661 |
+
"learning_rate": 6.697357272720782e-06,
|
2662 |
+
"loss": 0.239,
|
2663 |
+
"step": 370
|
2664 |
+
},
|
2665 |
+
{
|
2666 |
+
"epoch": 2.717948717948718,
|
2667 |
+
"grad_norm": 0.620663583278656,
|
2668 |
+
"learning_rate": 6.35197954261058e-06,
|
2669 |
+
"loss": 0.183,
|
2670 |
+
"step": 371
|
2671 |
+
},
|
2672 |
+
{
|
2673 |
+
"epoch": 2.7252747252747254,
|
2674 |
+
"grad_norm": 0.7446674108505249,
|
2675 |
+
"learning_rate": 6.015551976471433e-06,
|
2676 |
+
"loss": 0.2334,
|
2677 |
+
"step": 372
|
2678 |
+
},
|
2679 |
+
{
|
2680 |
+
"epoch": 2.7326007326007327,
|
2681 |
+
"grad_norm": 0.8476528525352478,
|
2682 |
+
"learning_rate": 5.688095535830573e-06,
|
2683 |
+
"loss": 0.1747,
|
2684 |
+
"step": 373
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 2.73992673992674,
|
2688 |
+
"grad_norm": 0.8313474655151367,
|
2689 |
+
"learning_rate": 5.369630623258248e-06,
|
2690 |
+
"loss": 0.189,
|
2691 |
+
"step": 374
|
2692 |
+
},
|
2693 |
+
{
|
2694 |
+
"epoch": 2.7472527472527473,
|
2695 |
+
"grad_norm": 0.9323949217796326,
|
2696 |
+
"learning_rate": 5.060177081096728e-06,
|
2697 |
+
"loss": 0.0911,
|
2698 |
+
"step": 375
|
2699 |
+
},
|
2700 |
+
{
|
2701 |
+
"epoch": 2.7545787545787546,
|
2702 |
+
"grad_norm": 0.33731380105018616,
|
2703 |
+
"learning_rate": 4.759754190223925e-06,
|
2704 |
+
"loss": 0.4471,
|
2705 |
+
"step": 376
|
2706 |
+
},
|
2707 |
+
{
|
2708 |
+
"epoch": 2.761904761904762,
|
2709 |
+
"grad_norm": 0.37849536538124084,
|
2710 |
+
"learning_rate": 4.468380668852068e-06,
|
2711 |
+
"loss": 0.6115,
|
2712 |
+
"step": 377
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 2.769230769230769,
|
2716 |
+
"grad_norm": 0.4009314775466919,
|
2717 |
+
"learning_rate": 4.186074671361456e-06,
|
2718 |
+
"loss": 0.575,
|
2719 |
+
"step": 378
|
2720 |
+
},
|
2721 |
+
{
|
2722 |
+
"epoch": 2.7765567765567765,
|
2723 |
+
"grad_norm": 0.3839149475097656,
|
2724 |
+
"learning_rate": 3.912853787169345e-06,
|
2725 |
+
"loss": 0.5056,
|
2726 |
+
"step": 379
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 2.7838827838827838,
|
2730 |
+
"grad_norm": 0.40725114941596985,
|
2731 |
+
"learning_rate": 3.6487350396339597e-06,
|
2732 |
+
"loss": 0.4408,
|
2733 |
+
"step": 380
|
2734 |
+
},
|
2735 |
+
{
|
2736 |
+
"epoch": 2.791208791208791,
|
2737 |
+
"grad_norm": 0.4696556329727173,
|
2738 |
+
"learning_rate": 3.3937348849939204e-06,
|
2739 |
+
"loss": 0.5321,
|
2740 |
+
"step": 381
|
2741 |
+
},
|
2742 |
+
{
|
2743 |
+
"epoch": 2.7985347985347984,
|
2744 |
+
"grad_norm": 0.43771475553512573,
|
2745 |
+
"learning_rate": 3.147869211342818e-06,
|
2746 |
+
"loss": 0.4356,
|
2747 |
+
"step": 382
|
2748 |
+
},
|
2749 |
+
{
|
2750 |
+
"epoch": 2.8058608058608057,
|
2751 |
+
"grad_norm": 0.5101984739303589,
|
2752 |
+
"learning_rate": 2.911153337639388e-06,
|
2753 |
+
"loss": 0.4499,
|
2754 |
+
"step": 383
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 2.813186813186813,
|
2758 |
+
"grad_norm": 0.5081220865249634,
|
2759 |
+
"learning_rate": 2.683602012752939e-06,
|
2760 |
+
"loss": 0.4756,
|
2761 |
+
"step": 384
|
2762 |
+
},
|
2763 |
+
{
|
2764 |
+
"epoch": 2.8205128205128203,
|
2765 |
+
"grad_norm": 0.5413169264793396,
|
2766 |
+
"learning_rate": 2.4652294145445226e-06,
|
2767 |
+
"loss": 0.4866,
|
2768 |
+
"step": 385
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 2.8278388278388276,
|
2772 |
+
"grad_norm": 0.5008475184440613,
|
2773 |
+
"learning_rate": 2.256049148983441e-06,
|
2774 |
+
"loss": 0.4641,
|
2775 |
+
"step": 386
|
2776 |
+
},
|
2777 |
+
{
|
2778 |
+
"epoch": 2.8351648351648353,
|
2779 |
+
"grad_norm": 0.5848665833473206,
|
2780 |
+
"learning_rate": 2.0560742492995885e-06,
|
2781 |
+
"loss": 0.4572,
|
2782 |
+
"step": 387
|
2783 |
+
},
|
2784 |
+
{
|
2785 |
+
"epoch": 2.8424908424908426,
|
2786 |
+
"grad_norm": 0.6183776259422302,
|
2787 |
+
"learning_rate": 1.8653171751714379e-06,
|
2788 |
+
"loss": 0.5198,
|
2789 |
+
"step": 388
|
2790 |
+
},
|
2791 |
+
{
|
2792 |
+
"epoch": 2.84981684981685,
|
2793 |
+
"grad_norm": 0.5888795852661133,
|
2794 |
+
"learning_rate": 1.6837898119496263e-06,
|
2795 |
+
"loss": 0.451,
|
2796 |
+
"step": 389
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 2.857142857142857,
|
2800 |
+
"grad_norm": 0.5763834118843079,
|
2801 |
+
"learning_rate": 1.5115034699164308e-06,
|
2802 |
+
"loss": 0.4926,
|
2803 |
+
"step": 390
|
2804 |
+
},
|
2805 |
+
{
|
2806 |
+
"epoch": 2.8644688644688645,
|
2807 |
+
"grad_norm": 0.6053770184516907,
|
2808 |
+
"learning_rate": 1.348468883581183e-06,
|
2809 |
+
"loss": 0.443,
|
2810 |
+
"step": 391
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 2.871794871794872,
|
2814 |
+
"grad_norm": 0.5707501769065857,
|
2815 |
+
"learning_rate": 1.19469621101132e-06,
|
2816 |
+
"loss": 0.4184,
|
2817 |
+
"step": 392
|
2818 |
+
},
|
2819 |
+
{
|
2820 |
+
"epoch": 2.879120879120879,
|
2821 |
+
"grad_norm": 0.5886608958244324,
|
2822 |
+
"learning_rate": 1.0501950331995578e-06,
|
2823 |
+
"loss": 0.4002,
|
2824 |
+
"step": 393
|
2825 |
+
},
|
2826 |
+
{
|
2827 |
+
"epoch": 2.8864468864468864,
|
2828 |
+
"grad_norm": 0.5797408223152161,
|
2829 |
+
"learning_rate": 9.149743534668353e-07,
|
2830 |
+
"loss": 0.4117,
|
2831 |
+
"step": 394
|
2832 |
+
},
|
2833 |
+
{
|
2834 |
+
"epoch": 2.8937728937728937,
|
2835 |
+
"grad_norm": 0.7185364961624146,
|
2836 |
+
"learning_rate": 7.890425969014625e-07,
|
2837 |
+
"loss": 0.4059,
|
2838 |
+
"step": 395
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 2.901098901098901,
|
2842 |
+
"grad_norm": 0.7297194004058838,
|
2843 |
+
"learning_rate": 6.724076098341247e-07,
|
2844 |
+
"loss": 0.3407,
|
2845 |
+
"step": 396
|
2846 |
+
},
|
2847 |
+
{
|
2848 |
+
"epoch": 2.9084249084249083,
|
2849 |
+
"grad_norm": 0.6948420405387878,
|
2850 |
+
"learning_rate": 5.650766593489897e-07,
|
2851 |
+
"loss": 0.3564,
|
2852 |
+
"step": 397
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 2.9157509157509156,
|
2856 |
+
"grad_norm": 0.6854040026664734,
|
2857 |
+
"learning_rate": 4.6705643283102003e-07,
|
2858 |
+
"loss": 0.4018,
|
2859 |
+
"step": 398
|
2860 |
+
},
|
2861 |
+
{
|
2862 |
+
"epoch": 2.9230769230769234,
|
2863 |
+
"grad_norm": 0.7185117602348328,
|
2864 |
+
"learning_rate": 3.7835303754918943e-07,
|
2865 |
+
"loss": 0.3607,
|
2866 |
+
"step": 399
|
2867 |
+
},
|
2868 |
+
{
|
2869 |
+
"epoch": 2.9304029304029307,
|
2870 |
+
"grad_norm": 0.6749255061149597,
|
2871 |
+
"learning_rate": 2.9897200027598767e-07,
|
2872 |
+
"loss": 0.276,
|
2873 |
+
"step": 400
|
2874 |
+
},
|
2875 |
+
{
|
2876 |
+
"epoch": 2.9304029304029307,
|
2877 |
+
"eval_loss": 0.60358726978302,
|
2878 |
+
"eval_runtime": 73.527,
|
2879 |
+
"eval_samples_per_second": 7.439,
|
2880 |
+
"eval_steps_per_second": 7.439,
|
2881 |
+
"step": 400
|
2882 |
}
|
2883 |
],
|
2884 |
"logging_steps": 1,
|
|
|
2893 |
"early_stopping_threshold": 0.0
|
2894 |
},
|
2895 |
"attributes": {
|
2896 |
+
"early_stopping_patience_counter": 3
|
2897 |
}
|
2898 |
},
|
2899 |
"TrainerControl": {
|
|
|
2902 |
"should_evaluate": false,
|
2903 |
"should_log": false,
|
2904 |
"should_save": true,
|
2905 |
+
"should_training_stop": true
|
2906 |
},
|
2907 |
"attributes": {}
|
2908 |
}
|
2909 |
},
|
2910 |
+
"total_flos": 5.659682780951347e+16,
|
2911 |
"train_batch_size": 1,
|
2912 |
"trial_name": null,
|
2913 |
"trial_params": null
|