DewiBrynJones
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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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# 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: inf
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- Wer: 0.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size:
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| No log | 0.
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| No log | 0.
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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: inf
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- Wer: 0.3501
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 16
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.0772 | 200 | inf | 1.0 |
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| No log | 0.1544 | 400 | inf | 0.9262 |
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| 3.9094 | 0.2317 | 600 | inf | 0.7767 |
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| 3.9094 | 0.3089 | 800 | inf | 0.7365 |
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| 0.9885 | 0.3861 | 1000 | inf | 0.6105 |
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| 0.9885 | 0.4633 | 1200 | inf | 0.5431 |
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| 0.9885 | 0.5405 | 1400 | inf | 0.5145 |
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| 0.7974 | 0.6178 | 1600 | inf | 0.5231 |
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| 0.7974 | 0.6950 | 1800 | inf | 0.4621 |
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| 0.7068 | 0.7722 | 2000 | inf | 0.4532 |
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| 0.7068 | 0.8494 | 2200 | inf | 0.4404 |
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| 0.7068 | 0.9266 | 2400 | inf | 0.4195 |
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| 0.6447 | 1.0039 | 2600 | inf | 0.4116 |
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| 0.6447 | 1.0811 | 2800 | inf | 0.3890 |
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| 0.5318 | 1.1583 | 3000 | inf | 0.3804 |
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| 0.5318 | 1.2355 | 3200 | inf | 0.3734 |
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| 0.5318 | 1.3127 | 3400 | inf | 0.3675 |
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| 0.494 | 1.3900 | 3600 | inf | 0.3590 |
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| 0.494 | 1.4672 | 3800 | inf | 0.3535 |
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| 0.4794 | 1.5444 | 4000 | inf | 0.3501 |
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### Framework versions
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