End of training
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README.md
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metrics:
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- wer
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model-index:
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- name: "Whisper Small Espa\xF1ol"
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results:
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name: Automatic Speech Recognition
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: es
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split:
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args: 'config: es, split: test'
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metrics:
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- name: Wer
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type: wer
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value:
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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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# Whisper Small Español
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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 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer:
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## Model description
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### Training results
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| Training Loss | Epoch
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| 0.
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### Framework versions
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metrics:
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- wer
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model-index:
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+
- name: "Whisper Small Espa\xF1ol 2.0"
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results:
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- task:
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name: Automatic Speech Recognition
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name: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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config: es
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split: test
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args: 'config: es, split: test'
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metrics:
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- name: Wer
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type: wer
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value: 16.209450830140483
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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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+
# Whisper Small Español 2.0
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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 11.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3763
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- Wer: 16.2095
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## Model description
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:-------:|
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| 0.1289 | 1.6 | 1000 | 0.3013 | 18.0128 |
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| 0.0243 | 3.2 | 2000 | 0.3383 | 16.2401 |
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| 0.0079 | 4.8 | 3000 | 0.3608 | 16.2146 |
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| 0.0027 | 6.4 | 4000 | 0.3763 | 16.2095 |
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### Framework versions
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model.safetensors
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