End of training
Browse files- all_results.json +14 -0
- eval_results.json +9 -0
- nohup.out +23 -0
- train_results.json +8 -0
- trainer_state.json +2728 -0
all_results.json
ADDED
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@@ -0,0 +1,14 @@
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{
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| 2 |
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"epoch": 50.0,
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| 3 |
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"eval_loss": 0.06388434022665024,
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| 4 |
+
"eval_runtime": 56.5665,
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| 5 |
+
"eval_samples": 456,
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| 6 |
+
"eval_samples_per_second": 8.061,
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| 7 |
+
"eval_steps_per_second": 1.008,
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| 8 |
+
"eval_wer": 0.044850498338870434,
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| 9 |
+
"train_loss": 1.0736439298451375,
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| 10 |
+
"train_runtime": 194988.743,
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| 11 |
+
"train_samples": 22262,
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| 12 |
+
"train_samples_per_second": 5.709,
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| 13 |
+
"train_steps_per_second": 0.178
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| 14 |
+
}
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eval_results.json
ADDED
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@@ -0,0 +1,9 @@
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| 1 |
+
{
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| 2 |
+
"epoch": 50.0,
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| 3 |
+
"eval_loss": 0.06388434022665024,
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| 4 |
+
"eval_runtime": 56.5665,
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| 5 |
+
"eval_samples": 456,
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| 6 |
+
"eval_samples_per_second": 8.061,
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| 7 |
+
"eval_steps_per_second": 1.008,
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| 8 |
+
"eval_wer": 0.044850498338870434
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| 9 |
+
}
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nohup.out
CHANGED
|
@@ -5713,3 +5713,26 @@ The progress bars may be unreliable.
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|
| 5713 |
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| 5714 |
Dropping the following result as it does not have all the necessary fields:
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| 5715 |
{'dataset': {'name': 'zeroth_korean_asr', 'type': 'zeroth_korean_asr', 'args': 'clean'}}
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19%|█▉ | 11/57 [00:08<00:38, 1.20it/s]
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21%|██ | 12/57 [00:09<00:39, 1.13it/s]
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23%|██▎ | 13/57 [00:10<00:42, 1.05it/s]
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25%|██▍ | 14/57 [00:11<00:40, 1.05it/s]
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26%|██▋ | 15/57 [00:12<00:42, 1.00s/it]
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28%|██▊ | 16/57 [00:13<00:41, 1.00s/it]
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30%|██▉ | 17/57 [00:14<00:39, 1.01it/s]
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33%|███▎ | 19/57 [00:16<00:37, 1.02it/s]
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35%|███▌ | 20/57 [00:17<00:35, 1.05it/s]
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37%|███▋ | 21/57 [00:18<00:34, 1.04it/s]
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39%|███▊ | 22/57 [00:19<00:34, 1.02it/s]
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40%|████ | 23/57 [00:20<00:32, 1.06it/s]
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| 5739 |
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47%|████▋ | 27/57 [00:23<00:25, 1.18it/s]
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51%|█████ | 29/57 [00:25<00:28, 1.00s/it]
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| 5748 |
58%|█████▊ | 33/57 [00:30<00:24, 1.02s/it]
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| 5749 |
60%|█████▉ | 34/57 [00:31<00:23, 1.02s/it]
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| 5750 |
61%|██████▏ | 35/57 [00:31<00:21, 1.04it/s]
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| 5751 |
63%|██████▎ | 36/57 [00:32<00:20, 1.00it/s]
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| 5752 |
65%|██████▍ | 37/57 [00:33<00:17, 1.13it/s]
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| 5753 |
67%|██████▋ | 38/57 [00:34<00:18, 1.04it/s]
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| 5754 |
68%|██████▊ | 39/57 [00:35<00:16, 1.10it/s]
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| 5755 |
70%|███████ | 40/57 [00:36<00:16, 1.00it/s]
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| 5756 |
72%|███████▏ | 41/57 [00:37<00:16, 1.04s/it]
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| 5757 |
74%|███████▎ | 42/57 [00:38<00:14, 1.00it/s]
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| 5758 |
75%|███████▌ | 43/57 [00:39<00:13, 1.06it/s]
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| 5759 |
77%|███████▋ | 44/57 [00:40<00:11, 1.12it/s]
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| 5760 |
79%|███████▉ | 45/57 [00:41<00:11, 1.08it/s]
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| 5761 |
81%|████████ | 46/57 [00:42<00:10, 1.07it/s]
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| 5762 |
82%|████████▏ | 47/57 [00:42<00:08, 1.18it/s]
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| 5763 |
84%|████████▍ | 48/57 [00:43<00:07, 1.23it/s]
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| 5764 |
86%|████████▌ | 49/57 [00:44<00:06, 1.22it/s]
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88%|████████▊ | 50/57 [00:45<00:05, 1.21it/s]
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89%|████████▉ | 51/57 [00:46<00:04, 1.21it/s]
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91%|█████████ | 52/57 [00:46<00:04, 1.22it/s]
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93%|█████████▎| 53/57 [00:47<00:03, 1.22it/s]
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95%|█████████▍| 54/57 [00:48<00:02, 1.33it/s]
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96%|█████████▋| 55/57 [00:49<00:01, 1.38it/s]
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| 5771 |
98%|█████████▊| 56/57 [00:49<00:00, 1.38it/s]
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| 5713 |
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| 5714 |
Dropping the following result as it does not have all the necessary fields:
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| 5715 |
{'dataset': {'name': 'zeroth_korean_asr', 'type': 'zeroth_korean_asr', 'args': 'clean'}}
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| 5716 |
+
To https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean
|
| 5717 |
+
3233080..de79e0d main -> main
|
| 5718 |
+
|
| 5719 |
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02/02/2022 17:38:45 - WARNING - huggingface_hub.repository - To https://huggingface.co/anantoj/wav2vec2-xls-r-1b-korean
|
| 5720 |
+
3233080..de79e0d main -> main
|
| 5721 |
+
|
| 5722 |
+
***** train metrics *****
|
| 5723 |
+
epoch = 50.0
|
| 5724 |
+
train_loss = 1.0736
|
| 5725 |
+
train_runtime = 2 days, 6:09:48.74
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| 5726 |
+
train_samples = 22262
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| 5727 |
+
train_samples_per_second = 5.709
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| 5728 |
+
train_steps_per_second = 0.178
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| 5729 |
+
02/02/2022 17:38:48 - INFO - __main__ - *** Evaluate ***
|
| 5730 |
+
The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length.
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| 5731 |
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***** Running Evaluation *****
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| 5732 |
+
Num examples = 456
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| 5733 |
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Batch size = 8
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| 5753 |
33%|███▎ | 19/57 [00:16<00:37, 1.02it/s]
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| 5754 |
35%|███▌ | 20/57 [00:17<00:35, 1.05it/s]
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40%|████ | 23/57 [00:20<00:32, 1.06it/s]
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42%|████▏ | 24/57 [00:21<00:30, 1.09it/s]
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44%|████▍ | 25/57 [00:22<00:27, 1.16it/s]
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51%|█████ | 29/57 [00:25<00:28, 1.00s/it]
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60%|█████▉ | 34/57 [00:31<00:23, 1.02s/it]
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| 5770 |
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| 5771 |
65%|██████▍ | 37/57 [00:33<00:17, 1.13it/s]
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| 5772 |
67%|██████▋ | 38/57 [00:34<00:18, 1.04it/s]
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| 5773 |
68%|██████▊ | 39/57 [00:35<00:16, 1.10it/s]
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| 5774 |
70%|███████ | 40/57 [00:36<00:16, 1.00it/s]
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72%|███████▏ | 41/57 [00:37<00:16, 1.04s/it]
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74%|███████▎ | 42/57 [00:38<00:14, 1.00it/s]
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75%|███████▌ | 43/57 [00:39<00:13, 1.06it/s]
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79%|███████▉ | 45/57 [00:41<00:11, 1.08it/s]
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| 5780 |
81%|████████ | 46/57 [00:42<00:10, 1.07it/s]
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| 5781 |
82%|████████▏ | 47/57 [00:42<00:08, 1.18it/s]
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84%|████████▍ | 48/57 [00:43<00:07, 1.23it/s]
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| 5783 |
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93%|█████████▎| 53/57 [00:47<00:03, 1.22it/s]
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98%|█████████▊| 56/57 [00:49<00:00, 1.38it/s]
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| 5791 |
+
Saving model checkpoint to ./
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| 5792 |
+
Configuration saved in ./config.json
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| 5793 |
+
Model weights saved in ./pytorch_model.bin
|
| 5794 |
+
Configuration saved in ./preprocessor_config.json
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train_results.json
ADDED
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{
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| 2 |
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"epoch": 50.0,
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| 3 |
+
"train_loss": 1.0736439298451375,
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| 4 |
+
"train_runtime": 194988.743,
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| 5 |
+
"train_samples": 22262,
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| 6 |
+
"train_samples_per_second": 5.709,
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| 7 |
+
"train_steps_per_second": 0.178
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| 8 |
+
}
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trainer_state.json
ADDED
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