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README.md
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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datasets:
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- audiofolder
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-chichewa
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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: audiofolder
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type: audiofolder
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config: default
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split: None
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args: default
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metrics:
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- name: Wer
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type: wer
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value: 65.67692307692307
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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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# whisper-large-v3-chichewa
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the
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It achieves the following results on the evaluation set:
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- Loss:
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- Wer:
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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### Framework versions
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base_model: openai/whisper-large-v3
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-chichewa
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results: []
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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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# whisper-large-v3-chichewa
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7213
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- Wer: 77.8505
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-------:|:----:|:---------------:|:-------:|
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| 0.6163 | 7.4627 | 1000 | 1.8803 | 79.6019 |
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| 0.1102 | 14.9254 | 2000 | 2.2954 | 81.6099 |
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| 0.0654 | 22.3881 | 3000 | 2.5129 | 87.0942 |
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| 0.0502 | 29.8507 | 4000 | 2.6569 | 77.7621 |
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| 0.0482 | 37.3134 | 5000 | 2.7213 | 77.8505 |
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### Framework versions
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model-00001-of-00002.safetensors
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