DewiBrynJones
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Model save
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README.md
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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tags:
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- automatic-speech-recognition
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- DewiBrynJones/banc-trawsgrifiadau-bangor-clean-with-ccv
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- generated_from_trainer
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metrics:
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- wer
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@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-xlsr-53-ft-btb-ccv-cy
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) 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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| No log | 0.0672 | 200 |
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| No log | 0.1344 | 400 |
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### Framework versions
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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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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# wav2vec2-xlsr-53-ft-btb-ccv-cy
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5418
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- Wer: 0.4178
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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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| No log | 0.0672 | 200 | 3.1445 | 1.0 |
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| No log | 0.1344 | 400 | 2.7407 | 1.0000 |
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| 4.0188 | 0.2016 | 600 | 1.2700 | 0.8484 |
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| 4.0188 | 0.2688 | 800 | 0.9953 | 0.7435 |
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| 1.0707 | 0.3360 | 1000 | 0.8647 | 0.6541 |
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| 1.0707 | 0.4032 | 1200 | 0.7889 | 0.5784 |
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| 1.0707 | 0.4704 | 1400 | 0.7465 | 0.5440 |
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| 0.8175 | 0.5376 | 1600 | 0.6828 | 0.5042 |
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| 0.8175 | 0.6048 | 1800 | 0.6549 | 0.4952 |
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| 0.7148 | 0.6720 | 2000 | 0.6290 | 0.4906 |
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| 0.7148 | 0.7392 | 2200 | 0.6113 | 0.4576 |
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| 0.7148 | 0.8065 | 2400 | 0.5719 | 0.4405 |
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| 0.6374 | 0.8737 | 2600 | 0.5644 | 0.4314 |
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| 0.6374 | 0.9409 | 2800 | 0.5483 | 0.4190 |
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| 0.6013 | 1.0081 | 3000 | 0.5418 | 0.4178 |
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### Framework versions
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