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
|