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README.md
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---
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language:
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- eu
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license: apache-2.0
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tags:
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- whisper-event
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- generated_from_trainer
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datasets:
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metrics:
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- wer
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model-index:
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- name:
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name:
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type:
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config: eu
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split: test
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args: eu
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metrics:
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- name: Wer
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type: wer
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value: 18.
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 18.
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## Model description
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## Intended uses & limitations
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## Training and evaluation data
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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### Framework versions
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- common_voice_13_0
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metrics:
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- wer
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model-index:
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- name: openai/whisper-small
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: common_voice_13_0
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type: common_voice_13_0
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config: eu
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split: test
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args: eu
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metrics:
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- name: Wer
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type: wer
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value: 18.83024828871157
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# openai/whisper-small
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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_13_0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3914
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- Wer: 18.8302
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## Model description
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.1413 | 2.04 | 1000 | 0.3178 | 22.0139 |
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| 0.0181 | 4.07 | 2000 | 0.3376 | 20.2864 |
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| 0.0044 | 7.02 | 3000 | 0.3603 | 18.8768 |
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| 0.0016 | 9.06 | 4000 | 0.3812 | 18.7756 |
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| 0.0012 | 12.01 | 5000 | 0.3914 | 18.8302 |
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### Framework versions
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nohup.out
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[INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json
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[INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin
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[INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json
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[INFO|configuration_utils.py:447] 2023-07-20 18:46:21,343 >> Configuration saved in ./config.json
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[INFO|modeling_utils.py:1693] 2023-07-20 18:46:22,695 >> Model weights saved in ./pytorch_model.bin
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[INFO|feature_extraction_utils.py:368] 2023-07-20 18:46:22,710 >> Feature extractor saved in ./preprocessor_config.json
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Several commits (2) will be pushed upstream.
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{'eval_loss': 0.3913772702217102, 'eval_wer': 18.83024828871157, 'eval_runtime': 973.2149, 'eval_samples_per_second': 6.772, 'eval_steps_per_second': 0.423, 'epoch': 12.01}
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{'train_runtime': 27653.1068, 'train_samples_per_second': 5.786, 'train_steps_per_second': 0.181, 'train_loss': 0.106446673027426, 'epoch': 12.01}
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07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - Several commits (2) will be pushed upstream.
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The progress bars may be unreliable.
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07/20/2023 18:46:51 - WARNING - huggingface_hub.repository - The progress bars may be unreliable.
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eb496bd..9ecd845 main -> main
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07/20/2023 19:08:06 - WARNING - huggingface_hub.repository - To https://huggingface.co/xezpeleta/whisper-small-eu-v2
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eb496bd..9ecd845 main -> main
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