End of training
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- generation_config.json +1 -1
README.md
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metrics:
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- name: Wer
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type: wer
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value: 40.
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 15.0 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: 40.
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## Model description
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### Training results
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| Training Loss | Epoch
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| 0.3387 | 0.
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### Framework versions
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- Transformers 4.
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- Pytorch 2.2.
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- Datasets 2.
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- Tokenizers 0.
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metrics:
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- name: Wer
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type: wer
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value: 40.548535688627815
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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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This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 15.0 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3828
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- Wer: 40.5485
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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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| 0.6717 | 0.1129 | 500 | 0.7166 | 66.8913 |
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| 0.4727 | 0.2258 | 1000 | 0.5435 | 54.5493 |
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| 0.4211 | 0.3388 | 1500 | 0.4769 | 49.1136 |
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| 0.3884 | 0.4517 | 2000 | 0.4406 | 45.0228 |
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| 0.3737 | 0.5646 | 2500 | 0.4167 | 44.1237 |
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| 0.3387 | 0.6775 | 3000 | 0.3994 | 41.2215 |
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| 0.3402 | 0.7904 | 3500 | 0.3887 | 41.2987 |
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| 0.3089 | 0.9033 | 4000 | 0.3828 | 40.5485 |
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### Framework versions
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- Transformers 4.40.0
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- Pytorch 2.2.2+cu118
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- Datasets 2.19.0
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- Tokenizers 0.19.1
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generation_config.json
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.
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}
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"transcribe": 50359,
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"translate": 50358
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},
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"transformers_version": "4.40.0"
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}
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