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 871457448
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0410d2031d6d66039a219772af6611ad10bd041510320a05c3a517ffeed0884c
|
| 3 |
size 871457448
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 443280980
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64af5ace91296aa57e0190b71ab3906b2d7789e67eaaecf65816c91394d346b1
|
| 3 |
size 443280980
|
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 sha256:7613f69ce1c136cf737b5abb25940901c0be40445eb3bbb4c0bcc408dca61d16
|
| 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 sha256:705cabf5cbc3a6ab0feb67c77b9b453d59efcc939ce90d310af96e621810f990
|
| 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,
|
|
@@ -2521,6 +2521,364 @@
|
|
| 2521 |
"eval_samples_per_second": 7.051,
|
| 2522 |
"eval_steps_per_second": 1.764,
|
| 2523 |
"step": 350
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 2524 |
}
|
| 2525 |
],
|
| 2526 |
"logging_steps": 1,
|
|
@@ -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": 6.
|
| 2553 |
"train_batch_size": 8,
|
| 2554 |
"trial_name": null,
|
| 2555 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.2426377534866333,
|
| 3 |
+
"best_model_checkpoint": "miner_id_24/checkpoint-400",
|
| 4 |
+
"epoch": 0.3284746458632724,
|
| 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": 7.051,
|
| 2522 |
"eval_steps_per_second": 1.764,
|
| 2523 |
"step": 350
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 0.2882365017450216,
|
| 2527 |
+
"grad_norm": 0.24831348657608032,
|
| 2528 |
+
"learning_rate": 3.844650207332562e-06,
|
| 2529 |
+
"loss": 0.2173,
|
| 2530 |
+
"step": 351
|
| 2531 |
+
},
|
| 2532 |
+
{
|
| 2533 |
+
"epoch": 0.2890576883596797,
|
| 2534 |
+
"grad_norm": 0.29482340812683105,
|
| 2535 |
+
"learning_rate": 3.691267552111183e-06,
|
| 2536 |
+
"loss": 0.243,
|
| 2537 |
+
"step": 352
|
| 2538 |
+
},
|
| 2539 |
+
{
|
| 2540 |
+
"epoch": 0.2898788749743379,
|
| 2541 |
+
"grad_norm": 0.35965675115585327,
|
| 2542 |
+
"learning_rate": 3.54088980417534e-06,
|
| 2543 |
+
"loss": 0.2659,
|
| 2544 |
+
"step": 353
|
| 2545 |
+
},
|
| 2546 |
+
{
|
| 2547 |
+
"epoch": 0.2907000615889961,
|
| 2548 |
+
"grad_norm": 0.3628787100315094,
|
| 2549 |
+
"learning_rate": 3.393526721321616e-06,
|
| 2550 |
+
"loss": 0.2395,
|
| 2551 |
+
"step": 354
|
| 2552 |
+
},
|
| 2553 |
+
{
|
| 2554 |
+
"epoch": 0.29152124820365427,
|
| 2555 |
+
"grad_norm": 0.36598777770996094,
|
| 2556 |
+
"learning_rate": 3.249187865729264e-06,
|
| 2557 |
+
"loss": 0.2255,
|
| 2558 |
+
"step": 355
|
| 2559 |
+
},
|
| 2560 |
+
{
|
| 2561 |
+
"epoch": 0.29234243481831246,
|
| 2562 |
+
"grad_norm": 0.4101616144180298,
|
| 2563 |
+
"learning_rate": 3.1078826033397843e-06,
|
| 2564 |
+
"loss": 0.2461,
|
| 2565 |
+
"step": 356
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 0.29316362143297064,
|
| 2569 |
+
"grad_norm": 0.3846442699432373,
|
| 2570 |
+
"learning_rate": 2.9696201032491434e-06,
|
| 2571 |
+
"loss": 0.2377,
|
| 2572 |
+
"step": 357
|
| 2573 |
+
},
|
| 2574 |
+
{
|
| 2575 |
+
"epoch": 0.29398480804762883,
|
| 2576 |
+
"grad_norm": 0.3726769983768463,
|
| 2577 |
+
"learning_rate": 2.8344093371128424e-06,
|
| 2578 |
+
"loss": 0.241,
|
| 2579 |
+
"step": 358
|
| 2580 |
+
},
|
| 2581 |
+
{
|
| 2582 |
+
"epoch": 0.294805994662287,
|
| 2583 |
+
"grad_norm": 0.4052610695362091,
|
| 2584 |
+
"learning_rate": 2.70225907856374e-06,
|
| 2585 |
+
"loss": 0.2495,
|
| 2586 |
+
"step": 359
|
| 2587 |
+
},
|
| 2588 |
+
{
|
| 2589 |
+
"epoch": 0.2956271812769452,
|
| 2590 |
+
"grad_norm": 0.4084397554397583,
|
| 2591 |
+
"learning_rate": 2.573177902642726e-06,
|
| 2592 |
+
"loss": 0.2458,
|
| 2593 |
+
"step": 360
|
| 2594 |
+
},
|
| 2595 |
+
{
|
| 2596 |
+
"epoch": 0.2964483678916034,
|
| 2597 |
+
"grad_norm": 0.42254287004470825,
|
| 2598 |
+
"learning_rate": 2.4471741852423237e-06,
|
| 2599 |
+
"loss": 0.2568,
|
| 2600 |
+
"step": 361
|
| 2601 |
+
},
|
| 2602 |
+
{
|
| 2603 |
+
"epoch": 0.2972695545062615,
|
| 2604 |
+
"grad_norm": 0.3660500943660736,
|
| 2605 |
+
"learning_rate": 2.324256102563188e-06,
|
| 2606 |
+
"loss": 0.2142,
|
| 2607 |
+
"step": 362
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 0.2980907411209197,
|
| 2611 |
+
"grad_norm": 0.3869646191596985,
|
| 2612 |
+
"learning_rate": 2.204431630583548e-06,
|
| 2613 |
+
"loss": 0.2636,
|
| 2614 |
+
"step": 363
|
| 2615 |
+
},
|
| 2616 |
+
{
|
| 2617 |
+
"epoch": 0.2989119277355779,
|
| 2618 |
+
"grad_norm": 0.34974104166030884,
|
| 2619 |
+
"learning_rate": 2.087708544541689e-06,
|
| 2620 |
+
"loss": 0.1984,
|
| 2621 |
+
"step": 364
|
| 2622 |
+
},
|
| 2623 |
+
{
|
| 2624 |
+
"epoch": 0.2997331143502361,
|
| 2625 |
+
"grad_norm": 0.39927589893341064,
|
| 2626 |
+
"learning_rate": 1.974094418431388e-06,
|
| 2627 |
+
"loss": 0.275,
|
| 2628 |
+
"step": 365
|
| 2629 |
+
},
|
| 2630 |
+
{
|
| 2631 |
+
"epoch": 0.30055430096489427,
|
| 2632 |
+
"grad_norm": 0.37916234135627747,
|
| 2633 |
+
"learning_rate": 1.8635966245104664e-06,
|
| 2634 |
+
"loss": 0.2321,
|
| 2635 |
+
"step": 366
|
| 2636 |
+
},
|
| 2637 |
+
{
|
| 2638 |
+
"epoch": 0.30137548757955246,
|
| 2639 |
+
"grad_norm": 0.3782179355621338,
|
| 2640 |
+
"learning_rate": 1.7562223328224325e-06,
|
| 2641 |
+
"loss": 0.2227,
|
| 2642 |
+
"step": 367
|
| 2643 |
+
},
|
| 2644 |
+
{
|
| 2645 |
+
"epoch": 0.30219667419421065,
|
| 2646 |
+
"grad_norm": 0.37233802676200867,
|
| 2647 |
+
"learning_rate": 1.6519785107311891e-06,
|
| 2648 |
+
"loss": 0.2032,
|
| 2649 |
+
"step": 368
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 0.30301786080886883,
|
| 2653 |
+
"grad_norm": 0.3644430935382843,
|
| 2654 |
+
"learning_rate": 1.5508719224689717e-06,
|
| 2655 |
+
"loss": 0.2159,
|
| 2656 |
+
"step": 369
|
| 2657 |
+
},
|
| 2658 |
+
{
|
| 2659 |
+
"epoch": 0.303839047423527,
|
| 2660 |
+
"grad_norm": 0.3714001476764679,
|
| 2661 |
+
"learning_rate": 1.4529091286973995e-06,
|
| 2662 |
+
"loss": 0.2397,
|
| 2663 |
+
"step": 370
|
| 2664 |
+
},
|
| 2665 |
+
{
|
| 2666 |
+
"epoch": 0.30466023403818515,
|
| 2667 |
+
"grad_norm": 0.36238205432891846,
|
| 2668 |
+
"learning_rate": 1.358096486081778e-06,
|
| 2669 |
+
"loss": 0.2204,
|
| 2670 |
+
"step": 371
|
| 2671 |
+
},
|
| 2672 |
+
{
|
| 2673 |
+
"epoch": 0.30548142065284334,
|
| 2674 |
+
"grad_norm": 0.36938953399658203,
|
| 2675 |
+
"learning_rate": 1.2664401468786114e-06,
|
| 2676 |
+
"loss": 0.2478,
|
| 2677 |
+
"step": 372
|
| 2678 |
+
},
|
| 2679 |
+
{
|
| 2680 |
+
"epoch": 0.3063026072675015,
|
| 2681 |
+
"grad_norm": 0.39639028906822205,
|
| 2682 |
+
"learning_rate": 1.1779460585363944e-06,
|
| 2683 |
+
"loss": 0.263,
|
| 2684 |
+
"step": 373
|
| 2685 |
+
},
|
| 2686 |
+
{
|
| 2687 |
+
"epoch": 0.3071237938821597,
|
| 2688 |
+
"grad_norm": 0.3775864541530609,
|
| 2689 |
+
"learning_rate": 1.0926199633097157e-06,
|
| 2690 |
+
"loss": 0.2503,
|
| 2691 |
+
"step": 374
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 0.3079449804968179,
|
| 2695 |
+
"grad_norm": 0.36484062671661377,
|
| 2696 |
+
"learning_rate": 1.0104673978866164e-06,
|
| 2697 |
+
"loss": 0.2593,
|
| 2698 |
+
"step": 375
|
| 2699 |
+
},
|
| 2700 |
+
{
|
| 2701 |
+
"epoch": 0.3087661671114761,
|
| 2702 |
+
"grad_norm": 0.3943125307559967,
|
| 2703 |
+
"learning_rate": 9.314936930293283e-07,
|
| 2704 |
+
"loss": 0.2753,
|
| 2705 |
+
"step": 376
|
| 2706 |
+
},
|
| 2707 |
+
{
|
| 2708 |
+
"epoch": 0.3095873537261343,
|
| 2709 |
+
"grad_norm": 0.41774439811706543,
|
| 2710 |
+
"learning_rate": 8.557039732283944e-07,
|
| 2711 |
+
"loss": 0.2385,
|
| 2712 |
+
"step": 377
|
| 2713 |
+
},
|
| 2714 |
+
{
|
| 2715 |
+
"epoch": 0.31040854034079246,
|
| 2716 |
+
"grad_norm": 0.3497304916381836,
|
| 2717 |
+
"learning_rate": 7.83103156370113e-07,
|
| 2718 |
+
"loss": 0.2494,
|
| 2719 |
+
"step": 378
|
| 2720 |
+
},
|
| 2721 |
+
{
|
| 2722 |
+
"epoch": 0.31122972695545065,
|
| 2723 |
+
"grad_norm": 0.35694608092308044,
|
| 2724 |
+
"learning_rate": 7.136959534174592e-07,
|
| 2725 |
+
"loss": 0.2479,
|
| 2726 |
+
"step": 379
|
| 2727 |
+
},
|
| 2728 |
+
{
|
| 2729 |
+
"epoch": 0.31205091357010883,
|
| 2730 |
+
"grad_norm": 0.3703640103340149,
|
| 2731 |
+
"learning_rate": 6.474868681043578e-07,
|
| 2732 |
+
"loss": 0.2361,
|
| 2733 |
+
"step": 380
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 0.31287210018476697,
|
| 2737 |
+
"grad_norm": 0.3687499463558197,
|
| 2738 |
+
"learning_rate": 5.844801966434832e-07,
|
| 2739 |
+
"loss": 0.2544,
|
| 2740 |
+
"step": 381
|
| 2741 |
+
},
|
| 2742 |
+
{
|
| 2743 |
+
"epoch": 0.31369328679942515,
|
| 2744 |
+
"grad_norm": 0.3702276945114136,
|
| 2745 |
+
"learning_rate": 5.246800274474439e-07,
|
| 2746 |
+
"loss": 0.2288,
|
| 2747 |
+
"step": 382
|
| 2748 |
+
},
|
| 2749 |
+
{
|
| 2750 |
+
"epoch": 0.31451447341408334,
|
| 2751 |
+
"grad_norm": 0.35617271065711975,
|
| 2752 |
+
"learning_rate": 4.680902408635335e-07,
|
| 2753 |
+
"loss": 0.2311,
|
| 2754 |
+
"step": 383
|
| 2755 |
+
},
|
| 2756 |
+
{
|
| 2757 |
+
"epoch": 0.3153356600287415,
|
| 2758 |
+
"grad_norm": 0.3268205225467682,
|
| 2759 |
+
"learning_rate": 4.1471450892189846e-07,
|
| 2760 |
+
"loss": 0.202,
|
| 2761 |
+
"step": 384
|
| 2762 |
+
},
|
| 2763 |
+
{
|
| 2764 |
+
"epoch": 0.3161568466433997,
|
| 2765 |
+
"grad_norm": 0.3945155441761017,
|
| 2766 |
+
"learning_rate": 3.6455629509730136e-07,
|
| 2767 |
+
"loss": 0.2682,
|
| 2768 |
+
"step": 385
|
| 2769 |
+
},
|
| 2770 |
+
{
|
| 2771 |
+
"epoch": 0.3169780332580579,
|
| 2772 |
+
"grad_norm": 0.40699857473373413,
|
| 2773 |
+
"learning_rate": 3.1761885408435054e-07,
|
| 2774 |
+
"loss": 0.2526,
|
| 2775 |
+
"step": 386
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 0.3177992198727161,
|
| 2779 |
+
"grad_norm": 0.4202795624732971,
|
| 2780 |
+
"learning_rate": 2.7390523158633554e-07,
|
| 2781 |
+
"loss": 0.2616,
|
| 2782 |
+
"step": 387
|
| 2783 |
+
},
|
| 2784 |
+
{
|
| 2785 |
+
"epoch": 0.3186204064873743,
|
| 2786 |
+
"grad_norm": 0.4231754243373871,
|
| 2787 |
+
"learning_rate": 2.334182641175686e-07,
|
| 2788 |
+
"loss": 0.2372,
|
| 2789 |
+
"step": 388
|
| 2790 |
+
},
|
| 2791 |
+
{
|
| 2792 |
+
"epoch": 0.31944159310203246,
|
| 2793 |
+
"grad_norm": 0.44029873609542847,
|
| 2794 |
+
"learning_rate": 1.9616057881935436e-07,
|
| 2795 |
+
"loss": 0.2181,
|
| 2796 |
+
"step": 389
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 0.3202627797166906,
|
| 2800 |
+
"grad_norm": 0.4859876334667206,
|
| 2801 |
+
"learning_rate": 1.6213459328950352e-07,
|
| 2802 |
+
"loss": 0.2382,
|
| 2803 |
+
"step": 390
|
| 2804 |
+
},
|
| 2805 |
+
{
|
| 2806 |
+
"epoch": 0.3210839663313488,
|
| 2807 |
+
"grad_norm": 0.49845609068870544,
|
| 2808 |
+
"learning_rate": 1.3134251542544774e-07,
|
| 2809 |
+
"loss": 0.2548,
|
| 2810 |
+
"step": 391
|
| 2811 |
+
},
|
| 2812 |
+
{
|
| 2813 |
+
"epoch": 0.32190515294600697,
|
| 2814 |
+
"grad_norm": 0.5106012225151062,
|
| 2815 |
+
"learning_rate": 1.0378634328099269e-07,
|
| 2816 |
+
"loss": 0.2547,
|
| 2817 |
+
"step": 392
|
| 2818 |
+
},
|
| 2819 |
+
{
|
| 2820 |
+
"epoch": 0.32272633956066515,
|
| 2821 |
+
"grad_norm": 0.48110705614089966,
|
| 2822 |
+
"learning_rate": 7.946786493666647e-08,
|
| 2823 |
+
"loss": 0.2322,
|
| 2824 |
+
"step": 393
|
| 2825 |
+
},
|
| 2826 |
+
{
|
| 2827 |
+
"epoch": 0.32354752617532334,
|
| 2828 |
+
"grad_norm": 0.5826103687286377,
|
| 2829 |
+
"learning_rate": 5.838865838366792e-08,
|
| 2830 |
+
"loss": 0.3049,
|
| 2831 |
+
"step": 394
|
| 2832 |
+
},
|
| 2833 |
+
{
|
| 2834 |
+
"epoch": 0.32436871278998153,
|
| 2835 |
+
"grad_norm": 0.6699414253234863,
|
| 2836 |
+
"learning_rate": 4.055009142152067e-08,
|
| 2837 |
+
"loss": 0.264,
|
| 2838 |
+
"step": 395
|
| 2839 |
+
},
|
| 2840 |
+
{
|
| 2841 |
+
"epoch": 0.3251898994046397,
|
| 2842 |
+
"grad_norm": 0.6277973651885986,
|
| 2843 |
+
"learning_rate": 2.595332156925534e-08,
|
| 2844 |
+
"loss": 0.2696,
|
| 2845 |
+
"step": 396
|
| 2846 |
+
},
|
| 2847 |
+
{
|
| 2848 |
+
"epoch": 0.3260110860192979,
|
| 2849 |
+
"grad_norm": 0.6204254627227783,
|
| 2850 |
+
"learning_rate": 1.4599295990352924e-08,
|
| 2851 |
+
"loss": 0.3054,
|
| 2852 |
+
"step": 397
|
| 2853 |
+
},
|
| 2854 |
+
{
|
| 2855 |
+
"epoch": 0.3268322726339561,
|
| 2856 |
+
"grad_norm": 0.6760455965995789,
|
| 2857 |
+
"learning_rate": 6.488751431266149e-09,
|
| 2858 |
+
"loss": 0.2705,
|
| 2859 |
+
"step": 398
|
| 2860 |
+
},
|
| 2861 |
+
{
|
| 2862 |
+
"epoch": 0.3276534592486142,
|
| 2863 |
+
"grad_norm": 0.8175690770149231,
|
| 2864 |
+
"learning_rate": 1.622214173602199e-09,
|
| 2865 |
+
"loss": 0.2644,
|
| 2866 |
+
"step": 399
|
| 2867 |
+
},
|
| 2868 |
+
{
|
| 2869 |
+
"epoch": 0.3284746458632724,
|
| 2870 |
+
"grad_norm": 1.2129104137420654,
|
| 2871 |
+
"learning_rate": 0.0,
|
| 2872 |
+
"loss": 0.329,
|
| 2873 |
+
"step": 400
|
| 2874 |
+
},
|
| 2875 |
+
{
|
| 2876 |
+
"epoch": 0.3284746458632724,
|
| 2877 |
+
"eval_loss": 0.2426377534866333,
|
| 2878 |
+
"eval_runtime": 290.7324,
|
| 2879 |
+
"eval_samples_per_second": 7.055,
|
| 2880 |
+
"eval_steps_per_second": 1.765,
|
| 2881 |
+
"step": 400
|
| 2882 |
}
|
| 2883 |
],
|
| 2884 |
"logging_steps": 1,
|
|
|
|
| 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": 6.947750106397409e+17,
|
| 2911 |
"train_batch_size": 8,
|
| 2912 |
"trial_name": null,
|
| 2913 |
"trial_params": null
|