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  1. README.md +15 -17
README.md CHANGED
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  ---
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  license: apache-2.0
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- base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy
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  tags:
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- - automatic-speech-recognition
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- - ./data-configs/btb.json
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -17,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # wav2vec2-btb-cv-ft-btb-cy
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- This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-ccv-cy) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4557
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- - Wer: 0.3396
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  ## Model description
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@@ -53,17 +51,17 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:------:|:----:|:---------------:|:------:|
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- | No log | 0.1139 | 200 | 0.6802 | 0.5026 |
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- | No log | 0.2278 | 400 | 0.6103 | 0.4519 |
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- | 1.9206 | 0.3417 | 600 | 0.5974 | 0.4537 |
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- | 1.9206 | 0.4556 | 800 | 0.5455 | 0.4205 |
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- | 0.6974 | 0.5695 | 1000 | 0.5195 | 0.4027 |
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- | 0.6974 | 0.6834 | 1200 | 0.5081 | 0.3879 |
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- | 0.6974 | 0.7973 | 1400 | 0.4813 | 0.3726 |
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- | 0.6384 | 0.9112 | 1600 | 0.4656 | 0.3612 |
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- | 0.6384 | 1.0251 | 1800 | 0.4568 | 0.3529 |
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- | 0.5551 | 1.1390 | 2000 | 0.4594 | 0.3417 |
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- | 0.5551 | 1.2528 | 2200 | 0.4557 | 0.3396 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy
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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-btb-cv-ft-btb-cy
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+ This model is a fine-tuned version of [DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy](https://huggingface.co/DewiBrynJones/wav2vec2-xlsr-53-ft-btb-cv-cy) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4418
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+ - Wer: 0.3371
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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 | 0.1139 | 200 | 0.7154 | 0.4784 |
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+ | No log | 0.2278 | 400 | 0.6105 | 0.4456 |
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+ | 1.3805 | 0.3417 | 600 | 0.5903 | 0.4618 |
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+ | 1.3805 | 0.4556 | 800 | 0.5655 | 0.4232 |
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+ | 0.6886 | 0.5695 | 1000 | 0.5267 | 0.3967 |
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+ | 0.6886 | 0.6834 | 1200 | 0.5074 | 0.3808 |
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+ | 0.6886 | 0.7973 | 1400 | 0.4814 | 0.3667 |
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+ | 0.6336 | 0.9112 | 1600 | 0.4642 | 0.3621 |
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+ | 0.6336 | 1.0251 | 1800 | 0.4544 | 0.3472 |
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+ | 0.5411 | 1.1390 | 2000 | 0.4474 | 0.3406 |
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+ | 0.5411 | 1.2528 | 2200 | 0.4418 | 0.3371 |
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  ### Framework versions