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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
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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-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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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps:
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.2278 | 200 | 2.
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| No log | 0.4556 | 400 | 1.
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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-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: 0.5400
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- Wer: 0.4066
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## Model description
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 2000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:----:|:---------------:|:------:|
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| No log | 0.2278 | 200 | 2.9681 | 1.0 |
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| No log | 0.4556 | 400 | 1.3578 | 0.8300 |
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| 3.3875 | 0.6834 | 600 | 0.9213 | 0.6513 |
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| 3.3875 | 0.9112 | 800 | 0.7288 | 0.5341 |
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| 0.8947 | 1.1390 | 1000 | 0.6245 | 0.4634 |
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| 0.8947 | 1.3667 | 1200 | 0.5952 | 0.4458 |
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| 0.8947 | 1.5945 | 1400 | 0.5781 | 0.4385 |
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| 0.7523 | 1.8223 | 1600 | 0.5620 | 0.4283 |
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| 0.7523 | 2.0501 | 1800 | 0.5437 | 0.4140 |
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| 0.6707 | 2.2779 | 2000 | 0.5400 | 0.4066 |
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### Framework versions
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