"auto-commit"
Browse files- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/config.json +0 -0
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/optimizer.pt +1 -1
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/preprocessor_config.json +0 -0
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/pytorch_model.bin +1 -1
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/rng_state.pth +2 -2
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/scaler.pt +1 -1
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/scheduler.pt +1 -1
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/trainer_state.json +421 -4
- model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/training_args.bin +0 -0
- model-bin/finetune/base/log/1629607988.6993377/events.out.tfevents.1629607988.91f414e9573a.903.51 +3 -0
- model-bin/finetune/base/log/1629608643.4597359/events.out.tfevents.1629608643.91f414e9573a.903.53 +3 -0
- model-bin/finetune/base/log/1629609293.9553506/events.out.tfevents.1629609293.91f414e9573a.903.55 +3 -0
- model-bin/finetune/base/log/1629609945.867822/events.out.tfevents.1629609945.91f414e9573a.903.57 +3 -0
- model-bin/finetune/base/log/1629610613.6359005/events.out.tfevents.1629610613.91f414e9573a.903.59 +3 -0
- model-bin/finetune/base/log/events.out.tfevents.1629607988.91f414e9573a.903.50 +3 -0
- model-bin/finetune/base/log/events.out.tfevents.1629608643.91f414e9573a.903.52 +3 -0
- model-bin/finetune/base/log/events.out.tfevents.1629609293.91f414e9573a.903.54 +3 -0
- model-bin/finetune/base/log/events.out.tfevents.1629609945.91f414e9573a.903.56 +3 -0
- model-bin/finetune/base/log/events.out.tfevents.1629610613.91f414e9573a.903.58 +3 -0
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/config.json
RENAMED
|
File without changes
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/optimizer.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 722165009
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6eda1debc45af946ec5e9ee4b74157ef6d0b849f1e1676b439406061deabdf25
|
| 3 |
size 722165009
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/preprocessor_config.json
RENAMED
|
File without changes
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/pytorch_model.bin
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 377909911
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:13fcd4cdb9b3339e6e76d61bd11904e4398bafc29a9cea24e191dabcda994015
|
| 3 |
size 377909911
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/rng_state.pth
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b6e34d5e44a983922d85f12675b8b6fde43e98b02f5ba69012984547cde048ec
|
| 3 |
+
size 14503
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/scaler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 559
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:fcbebf584d95d5940548f6516feb8fd6cb40baa6100b67cbab5a1e566f16d2f1
|
| 3 |
size 559
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/scheduler.pt
RENAMED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 623
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c01489925cd1954beca2b07faedc76edaf0966fa7174d51aac23ed63e84dcabd
|
| 3 |
size 623
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/trainer_state.json
RENAMED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.2158154859967051,
|
| 3 |
"best_model_checkpoint": "./model-bin/finetune/base/checkpoint-25631",
|
| 4 |
-
"epoch":
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
@@ -139599,11 +139599,428 @@
|
|
| 139599 |
"eval_steps_per_second": 0.675,
|
| 139600 |
"eval_wer": 0.2235605170387779,
|
| 139601 |
"step": 25756
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 139602 |
}
|
| 139603 |
],
|
| 139604 |
-
"max_steps":
|
| 139605 |
"num_train_epochs": 5000,
|
| 139606 |
-
"total_flos": 7.
|
| 139607 |
"trial_name": null,
|
| 139608 |
"trial_params": null
|
| 139609 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"best_metric": 0.2158154859967051,
|
| 3 |
"best_model_checkpoint": "./model-bin/finetune/base/checkpoint-25631",
|
| 4 |
+
"epoch": 212.0,
|
| 5 |
+
"global_step": 26377,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
|
|
|
| 139599 |
"eval_steps_per_second": 0.675,
|
| 139600 |
"eval_wer": 0.2235605170387779,
|
| 139601 |
"step": 25756
|
| 139602 |
+
},
|
| 139603 |
+
{
|
| 139604 |
+
"epoch": 207.03,
|
| 139605 |
+
"learning_rate": 9.60016155088853e-06,
|
| 139606 |
+
"loss": 0.5275,
|
| 139607 |
+
"step": 25760
|
| 139608 |
+
},
|
| 139609 |
+
{
|
| 139610 |
+
"epoch": 207.11,
|
| 139611 |
+
"learning_rate": 9.600000000000001e-06,
|
| 139612 |
+
"loss": 0.4298,
|
| 139613 |
+
"step": 25770
|
| 139614 |
+
},
|
| 139615 |
+
{
|
| 139616 |
+
"epoch": 207.19,
|
| 139617 |
+
"learning_rate": 9.599838449111471e-06,
|
| 139618 |
+
"loss": 0.8148,
|
| 139619 |
+
"step": 25780
|
| 139620 |
+
},
|
| 139621 |
+
{
|
| 139622 |
+
"epoch": 207.27,
|
| 139623 |
+
"learning_rate": 9.599676898222941e-06,
|
| 139624 |
+
"loss": 0.7539,
|
| 139625 |
+
"step": 25790
|
| 139626 |
+
},
|
| 139627 |
+
{
|
| 139628 |
+
"epoch": 207.35,
|
| 139629 |
+
"learning_rate": 9.599515347334411e-06,
|
| 139630 |
+
"loss": 0.5106,
|
| 139631 |
+
"step": 25800
|
| 139632 |
+
},
|
| 139633 |
+
{
|
| 139634 |
+
"epoch": 207.43,
|
| 139635 |
+
"learning_rate": 9.599353796445881e-06,
|
| 139636 |
+
"loss": 1.0507,
|
| 139637 |
+
"step": 25810
|
| 139638 |
+
},
|
| 139639 |
+
{
|
| 139640 |
+
"epoch": 207.51,
|
| 139641 |
+
"learning_rate": 9.599192245557351e-06,
|
| 139642 |
+
"loss": 0.4666,
|
| 139643 |
+
"step": 25820
|
| 139644 |
+
},
|
| 139645 |
+
{
|
| 139646 |
+
"epoch": 207.59,
|
| 139647 |
+
"learning_rate": 9.599030694668821e-06,
|
| 139648 |
+
"loss": 0.8264,
|
| 139649 |
+
"step": 25830
|
| 139650 |
+
},
|
| 139651 |
+
{
|
| 139652 |
+
"epoch": 207.67,
|
| 139653 |
+
"learning_rate": 9.598869143780291e-06,
|
| 139654 |
+
"loss": 0.607,
|
| 139655 |
+
"step": 25840
|
| 139656 |
+
},
|
| 139657 |
+
{
|
| 139658 |
+
"epoch": 207.76,
|
| 139659 |
+
"learning_rate": 9.598707592891761e-06,
|
| 139660 |
+
"loss": 0.5408,
|
| 139661 |
+
"step": 25850
|
| 139662 |
+
},
|
| 139663 |
+
{
|
| 139664 |
+
"epoch": 207.84,
|
| 139665 |
+
"learning_rate": 9.598546042003231e-06,
|
| 139666 |
+
"loss": 1.0059,
|
| 139667 |
+
"step": 25860
|
| 139668 |
+
},
|
| 139669 |
+
{
|
| 139670 |
+
"epoch": 207.92,
|
| 139671 |
+
"learning_rate": 9.598384491114701e-06,
|
| 139672 |
+
"loss": 0.443,
|
| 139673 |
+
"step": 25870
|
| 139674 |
+
},
|
| 139675 |
+
{
|
| 139676 |
+
"epoch": 208.0,
|
| 139677 |
+
"learning_rate": 9.598222940226171e-06,
|
| 139678 |
+
"loss": 0.8718,
|
| 139679 |
+
"step": 25880
|
| 139680 |
+
},
|
| 139681 |
+
{
|
| 139682 |
+
"epoch": 208.0,
|
| 139683 |
+
"eval_loss": 0.5250621438026428,
|
| 139684 |
+
"eval_runtime": 41.5071,
|
| 139685 |
+
"eval_samples_per_second": 20.358,
|
| 139686 |
+
"eval_steps_per_second": 0.65,
|
| 139687 |
+
"eval_wer": 0.23479398299542184,
|
| 139688 |
+
"step": 25880
|
| 139689 |
+
},
|
| 139690 |
+
{
|
| 139691 |
+
"epoch": 208.08,
|
| 139692 |
+
"learning_rate": 9.598061389337641e-06,
|
| 139693 |
+
"loss": 0.4159,
|
| 139694 |
+
"step": 25890
|
| 139695 |
+
},
|
| 139696 |
+
{
|
| 139697 |
+
"epoch": 208.16,
|
| 139698 |
+
"learning_rate": 9.597899838449111e-06,
|
| 139699 |
+
"loss": 0.497,
|
| 139700 |
+
"step": 25900
|
| 139701 |
+
},
|
| 139702 |
+
{
|
| 139703 |
+
"epoch": 208.24,
|
| 139704 |
+
"learning_rate": 9.597738287560583e-06,
|
| 139705 |
+
"loss": 0.9983,
|
| 139706 |
+
"step": 25910
|
| 139707 |
+
},
|
| 139708 |
+
{
|
| 139709 |
+
"epoch": 208.32,
|
| 139710 |
+
"learning_rate": 9.597576736672053e-06,
|
| 139711 |
+
"loss": 0.4968,
|
| 139712 |
+
"step": 25920
|
| 139713 |
+
},
|
| 139714 |
+
{
|
| 139715 |
+
"epoch": 208.4,
|
| 139716 |
+
"learning_rate": 9.597415185783523e-06,
|
| 139717 |
+
"loss": 1.1259,
|
| 139718 |
+
"step": 25930
|
| 139719 |
+
},
|
| 139720 |
+
{
|
| 139721 |
+
"epoch": 208.48,
|
| 139722 |
+
"learning_rate": 9.597253634894993e-06,
|
| 139723 |
+
"loss": 0.5139,
|
| 139724 |
+
"step": 25940
|
| 139725 |
+
},
|
| 139726 |
+
{
|
| 139727 |
+
"epoch": 208.56,
|
| 139728 |
+
"learning_rate": 9.597092084006463e-06,
|
| 139729 |
+
"loss": 0.5208,
|
| 139730 |
+
"step": 25950
|
| 139731 |
+
},
|
| 139732 |
+
{
|
| 139733 |
+
"epoch": 208.64,
|
| 139734 |
+
"learning_rate": 9.596930533117932e-06,
|
| 139735 |
+
"loss": 0.8287,
|
| 139736 |
+
"step": 25960
|
| 139737 |
+
},
|
| 139738 |
+
{
|
| 139739 |
+
"epoch": 208.72,
|
| 139740 |
+
"learning_rate": 9.596768982229402e-06,
|
| 139741 |
+
"loss": 0.4621,
|
| 139742 |
+
"step": 25970
|
| 139743 |
+
},
|
| 139744 |
+
{
|
| 139745 |
+
"epoch": 208.8,
|
| 139746 |
+
"learning_rate": 9.596607431340872e-06,
|
| 139747 |
+
"loss": 1.0634,
|
| 139748 |
+
"step": 25980
|
| 139749 |
+
},
|
| 139750 |
+
{
|
| 139751 |
+
"epoch": 208.88,
|
| 139752 |
+
"learning_rate": 9.596445880452342e-06,
|
| 139753 |
+
"loss": 0.4046,
|
| 139754 |
+
"step": 25990
|
| 139755 |
+
},
|
| 139756 |
+
{
|
| 139757 |
+
"epoch": 208.96,
|
| 139758 |
+
"learning_rate": 9.596284329563812e-06,
|
| 139759 |
+
"loss": 0.5539,
|
| 139760 |
+
"step": 26000
|
| 139761 |
+
},
|
| 139762 |
+
{
|
| 139763 |
+
"epoch": 209.0,
|
| 139764 |
+
"eval_loss": 0.5330120921134949,
|
| 139765 |
+
"eval_runtime": 40.0992,
|
| 139766 |
+
"eval_samples_per_second": 21.048,
|
| 139767 |
+
"eval_steps_per_second": 0.673,
|
| 139768 |
+
"eval_wer": 0.22785853439232728,
|
| 139769 |
+
"step": 26004
|
| 139770 |
+
},
|
| 139771 |
+
{
|
| 139772 |
+
"epoch": 209.05,
|
| 139773 |
+
"learning_rate": 9.596122778675282e-06,
|
| 139774 |
+
"loss": 0.4952,
|
| 139775 |
+
"step": 26010
|
| 139776 |
+
},
|
| 139777 |
+
{
|
| 139778 |
+
"epoch": 209.13,
|
| 139779 |
+
"learning_rate": 9.595961227786752e-06,
|
| 139780 |
+
"loss": 0.4415,
|
| 139781 |
+
"step": 26020
|
| 139782 |
+
},
|
| 139783 |
+
{
|
| 139784 |
+
"epoch": 209.21,
|
| 139785 |
+
"learning_rate": 9.595799676898224e-06,
|
| 139786 |
+
"loss": 1.1345,
|
| 139787 |
+
"step": 26030
|
| 139788 |
+
},
|
| 139789 |
+
{
|
| 139790 |
+
"epoch": 209.29,
|
| 139791 |
+
"learning_rate": 9.595638126009694e-06,
|
| 139792 |
+
"loss": 0.4205,
|
| 139793 |
+
"step": 26040
|
| 139794 |
+
},
|
| 139795 |
+
{
|
| 139796 |
+
"epoch": 209.37,
|
| 139797 |
+
"learning_rate": 9.595476575121164e-06,
|
| 139798 |
+
"loss": 0.6062,
|
| 139799 |
+
"step": 26050
|
| 139800 |
+
},
|
| 139801 |
+
{
|
| 139802 |
+
"epoch": 209.45,
|
| 139803 |
+
"learning_rate": 9.595315024232634e-06,
|
| 139804 |
+
"loss": 0.9116,
|
| 139805 |
+
"step": 26060
|
| 139806 |
+
},
|
| 139807 |
+
{
|
| 139808 |
+
"epoch": 209.53,
|
| 139809 |
+
"learning_rate": 9.595153473344104e-06,
|
| 139810 |
+
"loss": 0.4141,
|
| 139811 |
+
"step": 26070
|
| 139812 |
+
},
|
| 139813 |
+
{
|
| 139814 |
+
"epoch": 209.61,
|
| 139815 |
+
"learning_rate": 9.594991922455574e-06,
|
| 139816 |
+
"loss": 1.047,
|
| 139817 |
+
"step": 26080
|
| 139818 |
+
},
|
| 139819 |
+
{
|
| 139820 |
+
"epoch": 209.69,
|
| 139821 |
+
"learning_rate": 9.594830371567044e-06,
|
| 139822 |
+
"loss": 0.4656,
|
| 139823 |
+
"step": 26090
|
| 139824 |
+
},
|
| 139825 |
+
{
|
| 139826 |
+
"epoch": 209.77,
|
| 139827 |
+
"learning_rate": 9.594668820678514e-06,
|
| 139828 |
+
"loss": 0.6107,
|
| 139829 |
+
"step": 26100
|
| 139830 |
+
},
|
| 139831 |
+
{
|
| 139832 |
+
"epoch": 209.85,
|
| 139833 |
+
"learning_rate": 9.594507269789984e-06,
|
| 139834 |
+
"loss": 1.0373,
|
| 139835 |
+
"step": 26110
|
| 139836 |
+
},
|
| 139837 |
+
{
|
| 139838 |
+
"epoch": 209.93,
|
| 139839 |
+
"learning_rate": 9.594345718901454e-06,
|
| 139840 |
+
"loss": 0.6594,
|
| 139841 |
+
"step": 26120
|
| 139842 |
+
},
|
| 139843 |
+
{
|
| 139844 |
+
"epoch": 210.0,
|
| 139845 |
+
"eval_loss": 0.5992549657821655,
|
| 139846 |
+
"eval_runtime": 41.0997,
|
| 139847 |
+
"eval_samples_per_second": 20.56,
|
| 139848 |
+
"eval_steps_per_second": 0.657,
|
| 139849 |
+
"eval_wer": 0.23352941176470587,
|
| 139850 |
+
"step": 26128
|
| 139851 |
+
},
|
| 139852 |
+
{
|
| 139853 |
+
"epoch": 209.02,
|
| 139854 |
+
"learning_rate": 9.594184168012924e-06,
|
| 139855 |
+
"loss": 0.4608,
|
| 139856 |
+
"step": 26130
|
| 139857 |
+
},
|
| 139858 |
+
{
|
| 139859 |
+
"epoch": 209.1,
|
| 139860 |
+
"learning_rate": 9.594022617124394e-06,
|
| 139861 |
+
"loss": 0.4431,
|
| 139862 |
+
"step": 26140
|
| 139863 |
+
},
|
| 139864 |
+
{
|
| 139865 |
+
"epoch": 209.18,
|
| 139866 |
+
"learning_rate": 9.593861066235865e-06,
|
| 139867 |
+
"loss": 0.6662,
|
| 139868 |
+
"step": 26150
|
| 139869 |
+
},
|
| 139870 |
+
{
|
| 139871 |
+
"epoch": 209.26,
|
| 139872 |
+
"learning_rate": 9.593699515347335e-06,
|
| 139873 |
+
"loss": 0.8662,
|
| 139874 |
+
"step": 26160
|
| 139875 |
+
},
|
| 139876 |
+
{
|
| 139877 |
+
"epoch": 209.34,
|
| 139878 |
+
"learning_rate": 9.593537964458805e-06,
|
| 139879 |
+
"loss": 0.4304,
|
| 139880 |
+
"step": 26170
|
| 139881 |
+
},
|
| 139882 |
+
{
|
| 139883 |
+
"epoch": 209.42,
|
| 139884 |
+
"learning_rate": 9.593376413570275e-06,
|
| 139885 |
+
"loss": 1.0163,
|
| 139886 |
+
"step": 26180
|
| 139887 |
+
},
|
| 139888 |
+
{
|
| 139889 |
+
"epoch": 209.5,
|
| 139890 |
+
"learning_rate": 9.593214862681745e-06,
|
| 139891 |
+
"loss": 0.4113,
|
| 139892 |
+
"step": 26190
|
| 139893 |
+
},
|
| 139894 |
+
{
|
| 139895 |
+
"epoch": 209.58,
|
| 139896 |
+
"learning_rate": 9.593053311793215e-06,
|
| 139897 |
+
"loss": 0.7577,
|
| 139898 |
+
"step": 26200
|
| 139899 |
+
},
|
| 139900 |
+
{
|
| 139901 |
+
"epoch": 209.66,
|
| 139902 |
+
"learning_rate": 9.592891760904685e-06,
|
| 139903 |
+
"loss": 0.8594,
|
| 139904 |
+
"step": 26210
|
| 139905 |
+
},
|
| 139906 |
+
{
|
| 139907 |
+
"epoch": 209.74,
|
| 139908 |
+
"learning_rate": 9.592730210016155e-06,
|
| 139909 |
+
"loss": 0.4477,
|
| 139910 |
+
"step": 26220
|
| 139911 |
+
},
|
| 139912 |
+
{
|
| 139913 |
+
"epoch": 209.82,
|
| 139914 |
+
"learning_rate": 9.592568659127625e-06,
|
| 139915 |
+
"loss": 0.9548,
|
| 139916 |
+
"step": 26230
|
| 139917 |
+
},
|
| 139918 |
+
{
|
| 139919 |
+
"epoch": 209.9,
|
| 139920 |
+
"learning_rate": 9.592407108239095e-06,
|
| 139921 |
+
"loss": 0.4888,
|
| 139922 |
+
"step": 26240
|
| 139923 |
+
},
|
| 139924 |
+
{
|
| 139925 |
+
"epoch": 209.98,
|
| 139926 |
+
"learning_rate": 9.592245557350565e-06,
|
| 139927 |
+
"loss": 0.6885,
|
| 139928 |
+
"step": 26250
|
| 139929 |
+
},
|
| 139930 |
+
{
|
| 139931 |
+
"epoch": 210.0,
|
| 139932 |
+
"eval_loss": 0.4436338543891907,
|
| 139933 |
+
"eval_runtime": 40.5606,
|
| 139934 |
+
"eval_samples_per_second": 20.833,
|
| 139935 |
+
"eval_steps_per_second": 0.666,
|
| 139936 |
+
"eval_wer": 0.22520539906103287,
|
| 139937 |
+
"step": 26253
|
| 139938 |
+
},
|
| 139939 |
+
{
|
| 139940 |
+
"epoch": 211.06,
|
| 139941 |
+
"learning_rate": 9.592084006462037e-06,
|
| 139942 |
+
"loss": 0.4312,
|
| 139943 |
+
"step": 26260
|
| 139944 |
+
},
|
| 139945 |
+
{
|
| 139946 |
+
"epoch": 211.14,
|
| 139947 |
+
"learning_rate": 9.591922455573507e-06,
|
| 139948 |
+
"loss": 0.3964,
|
| 139949 |
+
"step": 26270
|
| 139950 |
+
},
|
| 139951 |
+
{
|
| 139952 |
+
"epoch": 211.22,
|
| 139953 |
+
"learning_rate": 9.591760904684977e-06,
|
| 139954 |
+
"loss": 0.9572,
|
| 139955 |
+
"step": 26280
|
| 139956 |
+
},
|
| 139957 |
+
{
|
| 139958 |
+
"epoch": 211.3,
|
| 139959 |
+
"learning_rate": 9.591599353796447e-06,
|
| 139960 |
+
"loss": 0.4516,
|
| 139961 |
+
"step": 26290
|
| 139962 |
+
},
|
| 139963 |
+
{
|
| 139964 |
+
"epoch": 211.38,
|
| 139965 |
+
"learning_rate": 9.591437802907917e-06,
|
| 139966 |
+
"loss": 0.6969,
|
| 139967 |
+
"step": 26300
|
| 139968 |
+
},
|
| 139969 |
+
{
|
| 139970 |
+
"epoch": 211.46,
|
| 139971 |
+
"learning_rate": 9.591276252019387e-06,
|
| 139972 |
+
"loss": 0.8051,
|
| 139973 |
+
"step": 26310
|
| 139974 |
+
},
|
| 139975 |
+
{
|
| 139976 |
+
"epoch": 211.54,
|
| 139977 |
+
"learning_rate": 9.591114701130857e-06,
|
| 139978 |
+
"loss": 0.511,
|
| 139979 |
+
"step": 26320
|
| 139980 |
+
},
|
| 139981 |
+
{
|
| 139982 |
+
"epoch": 211.62,
|
| 139983 |
+
"learning_rate": 9.590953150242327e-06,
|
| 139984 |
+
"loss": 1.0323,
|
| 139985 |
+
"step": 26330
|
| 139986 |
+
},
|
| 139987 |
+
{
|
| 139988 |
+
"epoch": 211.7,
|
| 139989 |
+
"learning_rate": 9.590791599353797e-06,
|
| 139990 |
+
"loss": 0.4279,
|
| 139991 |
+
"step": 26340
|
| 139992 |
+
},
|
| 139993 |
+
{
|
| 139994 |
+
"epoch": 211.78,
|
| 139995 |
+
"learning_rate": 9.590630048465267e-06,
|
| 139996 |
+
"loss": 0.6212,
|
| 139997 |
+
"step": 26350
|
| 139998 |
+
},
|
| 139999 |
+
{
|
| 140000 |
+
"epoch": 211.86,
|
| 140001 |
+
"learning_rate": 9.590468497576737e-06,
|
| 140002 |
+
"loss": 0.8014,
|
| 140003 |
+
"step": 26360
|
| 140004 |
+
},
|
| 140005 |
+
{
|
| 140006 |
+
"epoch": 211.94,
|
| 140007 |
+
"learning_rate": 9.590306946688207e-06,
|
| 140008 |
+
"loss": 0.5278,
|
| 140009 |
+
"step": 26370
|
| 140010 |
+
},
|
| 140011 |
+
{
|
| 140012 |
+
"epoch": 212.0,
|
| 140013 |
+
"eval_loss": 0.5822322964668274,
|
| 140014 |
+
"eval_runtime": 40.7449,
|
| 140015 |
+
"eval_samples_per_second": 20.739,
|
| 140016 |
+
"eval_steps_per_second": 0.663,
|
| 140017 |
+
"eval_wer": 0.23124177270732776,
|
| 140018 |
+
"step": 26377
|
| 140019 |
}
|
| 140020 |
],
|
| 140021 |
+
"max_steps": 620000,
|
| 140022 |
"num_train_epochs": 5000,
|
| 140023 |
+
"total_flos": 7.422010276565402e+19,
|
| 140024 |
"trial_name": null,
|
| 140025 |
"trial_params": null
|
| 140026 |
}
|
model-bin/finetune/base/{checkpoint-25756 → checkpoint-26377}/training_args.bin
RENAMED
|
File without changes
|
model-bin/finetune/base/log/1629607988.6993377/events.out.tfevents.1629607988.91f414e9573a.903.51
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1decf05a24b4cc6145258d7d9b90b824051e8b405d6f90bbf808403d84baf3e3
|
| 3 |
+
size 4194
|
model-bin/finetune/base/log/1629608643.4597359/events.out.tfevents.1629608643.91f414e9573a.903.53
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e4cf808d39632e912cb7d3fdfcf256c44bb5b6dcf5c67980866e50521e190a83
|
| 3 |
+
size 4194
|
model-bin/finetune/base/log/1629609293.9553506/events.out.tfevents.1629609293.91f414e9573a.903.55
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e2e6256edb2fcf8187cdd249386faf9ad711b4fba5de88b5bb66268cf77297b2
|
| 3 |
+
size 4194
|
model-bin/finetune/base/log/1629609945.867822/events.out.tfevents.1629609945.91f414e9573a.903.57
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:26d9b4c010e633bac098d8e240ab2b12fcf4204c1088fdc8e64398ea872c0281
|
| 3 |
+
size 4194
|
model-bin/finetune/base/log/1629610613.6359005/events.out.tfevents.1629610613.91f414e9573a.903.59
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:63adf2615861108c313225d8674b186c9c5643f5a89e21a38ec019d0a9829d88
|
| 3 |
+
size 4194
|
model-bin/finetune/base/log/events.out.tfevents.1629607988.91f414e9573a.903.50
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:33eb0b5be531cc879f44fbc63a0a7e4737a6dc355aa73d4fd415fe39c8383424
|
| 3 |
+
size 6703
|
model-bin/finetune/base/log/events.out.tfevents.1629608643.91f414e9573a.903.52
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32878c7306cca5f17f916bafa95db41a9070981279077d8872f3acf04632c08a
|
| 3 |
+
size 6543
|
model-bin/finetune/base/log/events.out.tfevents.1629609293.91f414e9573a.903.54
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:0f1382df6d822fd172655c8309e34716d12c799c238691340a2e3c60e6759189
|
| 3 |
+
size 6543
|
model-bin/finetune/base/log/events.out.tfevents.1629609945.91f414e9573a.903.56
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9df15e220f99e9b4837cad29ea977dd10134a2e46926d143a15207f82c6094af
|
| 3 |
+
size 6703
|
model-bin/finetune/base/log/events.out.tfevents.1629610613.91f414e9573a.903.58
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6c54f9984a023b9ace4b526e16a7c145b3f5865209e1fc5cae56c0f1b4601fec
|
| 3 |
+
size 6543
|