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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/banc-trawsgrifiadau-bangor-clean
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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-btb-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/banc-trawsgrifiadau-bangor-clean default
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type: DewiBrynJones/banc-trawsgrifiadau-bangor-clean
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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: 0.3064475414845421
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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-btb-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-btb-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-btb-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: 0.4687
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- Wer: 0.2887
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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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| 0.4429 | 0.8580 | 1000 | 0.4673 | 0.3495 |
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| 0.3192 | 1.7160 | 2000 | 0.4116 | 0.2986 |
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| 0.1917 | 2.5740 | 3000 | 0.4086 | 0.2937 |
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| 0.1113 | 3.4320 | 4000 | 0.4341 | 0.2852 |
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| 0.0665 | 4.2900 | 5000 | 0.4687 | 0.2887 |
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### Framework versions
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