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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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- DewiBrynJones/oscar-cy-tts
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metrics:
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- wer
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model-index:
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- name: whisper-large-v3-ft-tts-cy
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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: DewiBrynJones/oscar-cy-tts default
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type: DewiBrynJones/oscar-cy-tts
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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: 0.1561639017527405
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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-ft-tts-cy
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Wer: 0.
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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-ft-tts-cy
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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-ft-tts-cy
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This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1365
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- Wer: 0.1076
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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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| 0.2469 | 0.3232 | 1000 | 0.2313 | 0.1733 |
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| 0.1578 | 0.6464 | 2000 | 0.1785 | 0.1373 |
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| 0.1491 | 0.9696 | 3000 | 0.1531 | 0.1213 |
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| 0.099 | 1.2928 | 4000 | 0.1434 | 0.1129 |
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| 0.0874 | 1.6160 | 5000 | 0.1365 | 0.1076 |
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### Framework versions
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