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11%|βββββββ | 499/4560 [23:43<3:19:11, 2.94s/it] |
|
11%|βββββββ | 500/4560 [23:47<3:44:34, 3.32s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
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Batch size = 8 |
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Configuration saved in ./checkpoint-500/config.json |
|
{'eval_loss': 3.128021001815796, 'eval_wer': 1.0, 'eval_runtime': 61.7966, 'eval_samples_per_second': 27.202, 'eval_steps_per_second': 3.414, 'epoch': 8.77} |
|
Model weights saved in ./checkpoint-500/pytorch_model.bin |
|
Configuration saved in ./checkpoint-500/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Several commits (2) will be pushed upstream. |
|
02/04/2022 17:26:42 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream. |
|
Deleting older checkpoint [checkpoint-1000] due to args.save_total_limit |
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22%|ββββββββββββββ | 999/4560 [49:53<3:13:46, 3.27s/it] |
|
22%|ββββββββββββββ | 1000/4560 [49:57<3:26:16, 3.48s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
|
Batch size = 8 |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [01:00<00:00, 3.42it/s] |
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|
Configuration saved in ./checkpoint-1000/config.json |
|
Model weights saved in ./checkpoint-1000/pytorch_model.bin |
|
Configuration saved in ./checkpoint-1000/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-2000] due to args.save_total_limit |
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33%|ββββββββββββββββββββ | 1500/4560 [1:16:06<2:58:54, 3.51s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
|
Batch size = 8 |
|
0%| | 0/211 [00:00<?, ?it/s] |
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Configuration saved in ./checkpoint-1500/config.json |
|
{'eval_loss': 0.4207763671875, 'eval_wer': 0.4486379114642452, 'eval_runtime': 61.6392, 'eval_samples_per_second': 27.272, 'eval_steps_per_second': 3.423, 'epoch': 26.32} |
|
Model weights saved in ./checkpoint-1500/pytorch_model.bin |
|
Configuration saved in ./checkpoint-1500/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-500] due to args.save_total_limit |
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44%|βββββββββββββββββββββββββββ | 2000/4560 [1:42:02<2:20:20, 3.29s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
|
Batch size = 8 |
|
{'loss': 0.4484, 'learning_rate': 3.079326923076923e-05, 'epoch': 35.09} |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [00:59<00:00, 3.57it/s] |
|
Configuration saved in ./checkpoint-2000/config.json |
|
Model weights saved in ./checkpoint-2000/pytorch_model.bin |
|
Configuration saved in ./checkpoint-2000/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-1000] due to args.save_total_limit |
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55%|ββββββββββββββββββββββββββββββββββ | 2499/4560 [2:07:54<1:45:53, 3.08s/it] |
|
55%|ββββββββββββββββββββββββββββββββββ | 2500/4560 [2:07:57<1:45:34, 3.07s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
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Batch size = 8 |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [00:58<00:00, 3.58it/s] |
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Configuration saved in ./checkpoint-2500/config.json |
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Model weights saved in ./checkpoint-2500/pytorch_model.bin |
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Configuration saved in ./checkpoint-2500/preprocessor_config.json |
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Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-1500] due to args.save_total_limit |
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66%|βββββββββββββββββββββββββββββββββββββββββ | 3000/4560 [2:33:52<1:16:14, 2.93s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
|
Batch size = 8 |
|
0%| | 0/211 [00:00<?, ?it/s] |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [00:59<00:00, 3.64it/s] |
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|
Configuration saved in ./checkpoint-3000/config.json |
|
Model weights saved in ./checkpoint-3000/pytorch_model.bin |
|
Configuration saved in ./checkpoint-3000/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-2000] due to args.save_total_limit |
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77%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 3499/4560 [2:59:56<52:10, 2.95s/it] |
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77%|βββββββββββββββββββββββββββββββββββββββββββββββββ | 3500/4560 [2:59:58<50:45, 2.87s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. |
|
***** Running Evaluation ***** |
|
Num examples = 1681 |
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Batch size = 8 |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [00:59<00:00, 3.55it/s] |
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|
|
Configuration saved in ./checkpoint-3500/config.json |
|
Model weights saved in ./checkpoint-3500/pytorch_model.bin |
|
Configuration saved in ./checkpoint-3500/preprocessor_config.json |
|
Configuration saved in ./preprocessor_config.json |
|
Deleting older checkpoint [checkpoint-2500] due to args.save_total_limit |
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88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 3999/4560 [3:25:54<26:00, 2.78s/it] |
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88%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 4000/4560 [3:25:57<25:14, 2.70s/it]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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***** Running Evaluation ***** |
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Num examples = 1681 |
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Batch size = 8 |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 210/211 [00:59<00:00, 3.64it/s] |
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Configuration saved in ./checkpoint-4000/config.json |
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Model weights saved in ./checkpoint-4000/pytorch_model.bin |
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Configuration saved in ./checkpoint-4000/preprocessor_config.json |
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Configuration saved in ./preprocessor_config.json |
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Deleting older checkpoint [checkpoint-3000] due to args.save_total_limit |
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99%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4500/4560 [3:51:54<02:25, 2.42s/it]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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***** Running Evaluation ***** |
|
Num examples = 1681 |
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Batch size = 8 |
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2%|ββ | 5/211 [00:01<00:49, 4.17it/s] |
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99%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ | 208/211 [00:59<00:00, 3.42it/s] |
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Configuration saved in ./checkpoint-4500/config.json |
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Model weights saved in ./checkpoint-4500/pytorch_model.bin |
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Configuration saved in ./checkpoint-4500/preprocessor_config.json |
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Configuration saved in ./preprocessor_config.json |
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Deleting older checkpoint [checkpoint-3500] due to args.save_total_limit |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4559/4560 [3:57:04<00:02, 2.05s/it] |
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100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4560/4560 [3:57:06<00:00, 2.16s/it] |
|
Training completed. Do not forget to share your model on huggingface.co/models =) |
|
100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 4560/4560 [3:57:06<00:00, 3.12s/it] |
|
Saving model checkpoint to ./ |
|
Configuration saved in ./config.json |
|
Model weights saved in ./pytorch_model.bin |
|
Configuration saved in ./preprocessor_config.json |
|
Saving model checkpoint to ./ |
|
Configuration saved in ./config.json |
|
Model weights saved in ./pytorch_model.bin |
|
Configuration saved in ./preprocessor_config.json |
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Upload file pytorch_model.bin: 98%|βββββββββββββββββββββββββββββββββ| 1.15G/1.18G [00:40<00:00, 29.7MB/s]To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el |
|
d144cd4..4fe64b9 main -> main |
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Upload file pytorch_model.bin: 100%|βββββββββββββββββββββββββββββββββ| 1.18G/1.18G [00:41<00:00, 30.5MB/s] |
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02/04/2022 20:59:39 - WARNING - huggingface_hub.repository - To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el |
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d144cd4..4fe64b9 main -> main |
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Dropping the following result as it does not have all the necessary fields: |
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{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'el'}} |
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To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el |
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4fe64b9..2cd2df2 main -> main |
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02/04/2022 20:59:46 - WARNING - huggingface_hub.repository - To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el |
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4fe64b9..2cd2df2 main -> main |
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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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***** Running Evaluation ***** |
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Num examples = 1681 |
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Batch size = 8 |
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***** train metrics ***** |
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epoch = 80.0 |
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train_loss = 1.1972 |
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train_runtime = 3:57:08.90 |
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train_samples = 3626 |
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train_samples_per_second = 20.387 |
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train_steps_per_second = 0.32 |
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***** eval metrics ***** |
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epoch = 80.0 |
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eval_loss = 0.3218 |
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eval_runtime = 0:01:01.39 |
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eval_samples = 1681 |
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eval_samples_per_second = 27.38 |
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eval_steps_per_second = 3.437 |
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eval_wer = 0.3095 |
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02/04/2022 21:01:14 - WARNING - huggingface_hub.repository - To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el |
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2cd2df2..3821326 main -> main |
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