Training in progress, step 5000, checkpoint
Browse files
last-checkpoint/model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 891558696
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:11fbea9669742ba3ea39c635a607bbe423218198e460e6764bf73c6aab4c240d
|
| 3 |
size 891558696
|
last-checkpoint/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1783272762
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cbb7a8dea04c89ec3fc490bba9edeb6cf633b3c3f918dfcb1a7b5c8e0283a4a1
|
| 3 |
size 1783272762
|
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 sha256:5d740a2b255005c6e7a6893364a7dc3b77e12bd1c4d5968595e98dca1e18092e
|
| 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 sha256:4cc549119fdb555619567d1cb3e1f53a8d128bcc831c85f577b9c54b5021dbcc
|
| 3 |
size 1064
|
last-checkpoint/trainer_state.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 0.
|
| 3 |
-
"best_model_checkpoint": "./fine-tuned/checkpoint-
|
| 4 |
-
"epoch": 0.
|
| 5 |
"eval_steps": 500,
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
@@ -81,9 +81,9 @@
|
|
| 81 |
{
|
| 82 |
"epoch": 0.08,
|
| 83 |
"eval_loss": 0.09235642850399017,
|
| 84 |
-
"eval_runtime":
|
| 85 |
-
"eval_samples_per_second":
|
| 86 |
-
"eval_steps_per_second": 2.
|
| 87 |
"step": 500
|
| 88 |
},
|
| 89 |
{
|
|
@@ -159,9 +159,9 @@
|
|
| 159 |
{
|
| 160 |
"epoch": 0.16,
|
| 161 |
"eval_loss": 0.08949962258338928,
|
| 162 |
-
"eval_runtime":
|
| 163 |
-
"eval_samples_per_second":
|
| 164 |
-
"eval_steps_per_second": 2.
|
| 165 |
"step": 1000
|
| 166 |
},
|
| 167 |
{
|
|
@@ -237,9 +237,9 @@
|
|
| 237 |
{
|
| 238 |
"epoch": 0.24,
|
| 239 |
"eval_loss": 0.08808805048465729,
|
| 240 |
-
"eval_runtime":
|
| 241 |
-
"eval_samples_per_second":
|
| 242 |
-
"eval_steps_per_second": 2.
|
| 243 |
"step": 1500
|
| 244 |
},
|
| 245 |
{
|
|
@@ -315,9 +315,9 @@
|
|
| 315 |
{
|
| 316 |
"epoch": 0.32,
|
| 317 |
"eval_loss": 0.08704760670661926,
|
| 318 |
-
"eval_runtime":
|
| 319 |
-
"eval_samples_per_second":
|
| 320 |
-
"eval_steps_per_second": 2.
|
| 321 |
"step": 2000
|
| 322 |
},
|
| 323 |
{
|
|
@@ -393,9 +393,9 @@
|
|
| 393 |
{
|
| 394 |
"epoch": 0.4,
|
| 395 |
"eval_loss": 0.08615937829017639,
|
| 396 |
-
"eval_runtime":
|
| 397 |
-
"eval_samples_per_second":
|
| 398 |
-
"eval_steps_per_second": 2.
|
| 399 |
"step": 2500
|
| 400 |
},
|
| 401 |
{
|
|
@@ -471,9 +471,9 @@
|
|
| 471 |
{
|
| 472 |
"epoch": 0.48,
|
| 473 |
"eval_loss": 0.08551913499832153,
|
| 474 |
-
"eval_runtime":
|
| 475 |
-
"eval_samples_per_second":
|
| 476 |
-
"eval_steps_per_second": 2.
|
| 477 |
"step": 3000
|
| 478 |
},
|
| 479 |
{
|
|
@@ -549,9 +549,9 @@
|
|
| 549 |
{
|
| 550 |
"epoch": 0.56,
|
| 551 |
"eval_loss": 0.08540560305118561,
|
| 552 |
-
"eval_runtime":
|
| 553 |
-
"eval_samples_per_second":
|
| 554 |
-
"eval_steps_per_second": 2.
|
| 555 |
"step": 3500
|
| 556 |
},
|
| 557 |
{
|
|
@@ -627,9 +627,9 @@
|
|
| 627 |
{
|
| 628 |
"epoch": 0.64,
|
| 629 |
"eval_loss": 0.08466340601444244,
|
| 630 |
-
"eval_runtime":
|
| 631 |
-
"eval_samples_per_second":
|
| 632 |
-
"eval_steps_per_second": 2.
|
| 633 |
"step": 4000
|
| 634 |
},
|
| 635 |
{
|
|
@@ -705,10 +705,88 @@
|
|
| 705 |
{
|
| 706 |
"epoch": 0.72,
|
| 707 |
"eval_loss": 0.0842796117067337,
|
| 708 |
-
"eval_runtime":
|
| 709 |
-
"eval_samples_per_second":
|
| 710 |
-
"eval_steps_per_second": 2.
|
| 711 |
"step": 4500
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 712 |
}
|
| 713 |
],
|
| 714 |
"logging_steps": 50,
|
|
@@ -728,7 +806,7 @@
|
|
| 728 |
"attributes": {}
|
| 729 |
}
|
| 730 |
},
|
| 731 |
-
"total_flos": 2.
|
| 732 |
"train_batch_size": 8,
|
| 733 |
"trial_name": null,
|
| 734 |
"trial_params": null
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.08396206796169281,
|
| 3 |
+
"best_model_checkpoint": "./fine-tuned/checkpoint-5000",
|
| 4 |
+
"epoch": 0.8,
|
| 5 |
"eval_steps": 500,
|
| 6 |
+
"global_step": 5000,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
|
|
|
| 81 |
{
|
| 82 |
"epoch": 0.08,
|
| 83 |
"eval_loss": 0.09235642850399017,
|
| 84 |
+
"eval_runtime": 109.274,
|
| 85 |
+
"eval_samples_per_second": 18.303,
|
| 86 |
+
"eval_steps_per_second": 2.288,
|
| 87 |
"step": 500
|
| 88 |
},
|
| 89 |
{
|
|
|
|
| 159 |
{
|
| 160 |
"epoch": 0.16,
|
| 161 |
"eval_loss": 0.08949962258338928,
|
| 162 |
+
"eval_runtime": 109.2536,
|
| 163 |
+
"eval_samples_per_second": 18.306,
|
| 164 |
+
"eval_steps_per_second": 2.288,
|
| 165 |
"step": 1000
|
| 166 |
},
|
| 167 |
{
|
|
|
|
| 237 |
{
|
| 238 |
"epoch": 0.24,
|
| 239 |
"eval_loss": 0.08808805048465729,
|
| 240 |
+
"eval_runtime": 109.2355,
|
| 241 |
+
"eval_samples_per_second": 18.309,
|
| 242 |
+
"eval_steps_per_second": 2.289,
|
| 243 |
"step": 1500
|
| 244 |
},
|
| 245 |
{
|
|
|
|
| 315 |
{
|
| 316 |
"epoch": 0.32,
|
| 317 |
"eval_loss": 0.08704760670661926,
|
| 318 |
+
"eval_runtime": 109.4348,
|
| 319 |
+
"eval_samples_per_second": 18.276,
|
| 320 |
+
"eval_steps_per_second": 2.284,
|
| 321 |
"step": 2000
|
| 322 |
},
|
| 323 |
{
|
|
|
|
| 393 |
{
|
| 394 |
"epoch": 0.4,
|
| 395 |
"eval_loss": 0.08615937829017639,
|
| 396 |
+
"eval_runtime": 109.2621,
|
| 397 |
+
"eval_samples_per_second": 18.305,
|
| 398 |
+
"eval_steps_per_second": 2.288,
|
| 399 |
"step": 2500
|
| 400 |
},
|
| 401 |
{
|
|
|
|
| 471 |
{
|
| 472 |
"epoch": 0.48,
|
| 473 |
"eval_loss": 0.08551913499832153,
|
| 474 |
+
"eval_runtime": 109.2626,
|
| 475 |
+
"eval_samples_per_second": 18.305,
|
| 476 |
+
"eval_steps_per_second": 2.288,
|
| 477 |
"step": 3000
|
| 478 |
},
|
| 479 |
{
|
|
|
|
| 549 |
{
|
| 550 |
"epoch": 0.56,
|
| 551 |
"eval_loss": 0.08540560305118561,
|
| 552 |
+
"eval_runtime": 109.3641,
|
| 553 |
+
"eval_samples_per_second": 18.288,
|
| 554 |
+
"eval_steps_per_second": 2.286,
|
| 555 |
"step": 3500
|
| 556 |
},
|
| 557 |
{
|
|
|
|
| 627 |
{
|
| 628 |
"epoch": 0.64,
|
| 629 |
"eval_loss": 0.08466340601444244,
|
| 630 |
+
"eval_runtime": 109.2066,
|
| 631 |
+
"eval_samples_per_second": 18.314,
|
| 632 |
+
"eval_steps_per_second": 2.289,
|
| 633 |
"step": 4000
|
| 634 |
},
|
| 635 |
{
|
|
|
|
| 705 |
{
|
| 706 |
"epoch": 0.72,
|
| 707 |
"eval_loss": 0.0842796117067337,
|
| 708 |
+
"eval_runtime": 109.48,
|
| 709 |
+
"eval_samples_per_second": 18.268,
|
| 710 |
+
"eval_steps_per_second": 2.284,
|
| 711 |
"step": 4500
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 0.728,
|
| 715 |
+
"grad_norm": 7553.5556640625,
|
| 716 |
+
"learning_rate": 2.272e-05,
|
| 717 |
+
"loss": 0.063,
|
| 718 |
+
"step": 4550
|
| 719 |
+
},
|
| 720 |
+
{
|
| 721 |
+
"epoch": 0.736,
|
| 722 |
+
"grad_norm": 7194.16162109375,
|
| 723 |
+
"learning_rate": 2.2640000000000003e-05,
|
| 724 |
+
"loss": 0.0597,
|
| 725 |
+
"step": 4600
|
| 726 |
+
},
|
| 727 |
+
{
|
| 728 |
+
"epoch": 0.744,
|
| 729 |
+
"grad_norm": 7578.23583984375,
|
| 730 |
+
"learning_rate": 2.256e-05,
|
| 731 |
+
"loss": 0.0627,
|
| 732 |
+
"step": 4650
|
| 733 |
+
},
|
| 734 |
+
{
|
| 735 |
+
"epoch": 0.752,
|
| 736 |
+
"grad_norm": 7874.51904296875,
|
| 737 |
+
"learning_rate": 2.2479999999999998e-05,
|
| 738 |
+
"loss": 0.0628,
|
| 739 |
+
"step": 4700
|
| 740 |
+
},
|
| 741 |
+
{
|
| 742 |
+
"epoch": 0.76,
|
| 743 |
+
"grad_norm": 6014.06640625,
|
| 744 |
+
"learning_rate": 2.2400000000000002e-05,
|
| 745 |
+
"loss": 0.0651,
|
| 746 |
+
"step": 4750
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 0.768,
|
| 750 |
+
"grad_norm": 7170.10400390625,
|
| 751 |
+
"learning_rate": 2.232e-05,
|
| 752 |
+
"loss": 0.0656,
|
| 753 |
+
"step": 4800
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 0.776,
|
| 757 |
+
"grad_norm": 7596.84326171875,
|
| 758 |
+
"learning_rate": 2.224e-05,
|
| 759 |
+
"loss": 0.0598,
|
| 760 |
+
"step": 4850
|
| 761 |
+
},
|
| 762 |
+
{
|
| 763 |
+
"epoch": 0.784,
|
| 764 |
+
"grad_norm": 7802.14990234375,
|
| 765 |
+
"learning_rate": 2.216e-05,
|
| 766 |
+
"loss": 0.0605,
|
| 767 |
+
"step": 4900
|
| 768 |
+
},
|
| 769 |
+
{
|
| 770 |
+
"epoch": 0.792,
|
| 771 |
+
"grad_norm": 5468.1845703125,
|
| 772 |
+
"learning_rate": 2.208e-05,
|
| 773 |
+
"loss": 0.0594,
|
| 774 |
+
"step": 4950
|
| 775 |
+
},
|
| 776 |
+
{
|
| 777 |
+
"epoch": 0.8,
|
| 778 |
+
"grad_norm": 5185.58642578125,
|
| 779 |
+
"learning_rate": 2.2e-05,
|
| 780 |
+
"loss": 0.0586,
|
| 781 |
+
"step": 5000
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.8,
|
| 785 |
+
"eval_loss": 0.08396206796169281,
|
| 786 |
+
"eval_runtime": 109.1825,
|
| 787 |
+
"eval_samples_per_second": 18.318,
|
| 788 |
+
"eval_steps_per_second": 2.29,
|
| 789 |
+
"step": 5000
|
| 790 |
}
|
| 791 |
],
|
| 792 |
"logging_steps": 50,
|
|
|
|
| 806 |
"attributes": {}
|
| 807 |
}
|
| 808 |
},
|
| 809 |
+
"total_flos": 2.43583156224e+16,
|
| 810 |
"train_batch_size": 8,
|
| 811 |
"trial_name": null,
|
| 812 |
"trial_params": null
|