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  1. README.md +18 -20
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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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- - ./data-configs/btb-cv-other.json
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  - generated_from_trainer
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  metrics:
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  - wer
@@ -19,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4934
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- - Wer: 0.3776
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  ## Model description
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@@ -53,22 +51,22 @@ 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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- | 5.1054 | 0.0755 | 500 | 2.8161 | 1.0 |
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- | 1.4196 | 0.1509 | 1000 | 1.1687 | 0.7941 |
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- | 1.0028 | 0.2264 | 1500 | 0.9890 | 0.6953 |
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- | 0.8942 | 0.3019 | 2000 | 0.8935 | 0.6195 |
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- | 0.8285 | 0.3774 | 2500 | 0.8221 | 0.6075 |
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- | 0.763 | 0.4528 | 3000 | 0.7165 | 0.5307 |
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- | 0.7203 | 0.5283 | 3500 | 0.6892 | 0.5054 |
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- | 0.7051 | 0.6038 | 4000 | 0.6848 | 0.5070 |
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- | 0.6568 | 0.6792 | 4500 | 0.6342 | 0.4926 |
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- | 0.6315 | 0.7547 | 5000 | 0.5956 | 0.4494 |
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- | 0.6171 | 0.8302 | 5500 | 0.5533 | 0.4305 |
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- | 0.5717 | 0.9057 | 6000 | 0.5360 | 0.4212 |
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- | 0.5699 | 0.9811 | 6500 | 0.5184 | 0.4040 |
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- | 0.4905 | 1.0566 | 7000 | 0.5081 | 0.3967 |
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- | 0.4706 | 1.1321 | 7500 | 0.4991 | 0.3825 |
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- | 0.4614 | 1.2075 | 8000 | 0.4934 | 0.3776 |
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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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  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: 0.3727
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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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+ | 4.9036 | 0.0643 | 500 | inf | 0.9912 |
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+ | 1.3889 | 0.1286 | 1000 | inf | 0.7934 |
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+ | 1.0207 | 0.1929 | 1500 | inf | 0.6829 |
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+ | 0.8901 | 0.2572 | 2000 | inf | 0.6450 |
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+ | 0.8467 | 0.3215 | 2500 | inf | 0.5458 |
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+ | 0.7813 | 0.3859 | 3000 | inf | 0.5367 |
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+ | 0.7456 | 0.4502 | 3500 | inf | 0.5156 |
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+ | 0.7312 | 0.5145 | 4000 | inf | 0.4801 |
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+ | 0.6929 | 0.5788 | 4500 | inf | 0.4659 |
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+ | 0.6567 | 0.6431 | 5000 | inf | 0.4405 |
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+ | 0.6413 | 0.7074 | 5500 | inf | 0.4199 |
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+ | 0.6187 | 0.7717 | 6000 | inf | 0.4102 |
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+ | 0.6086 | 0.8360 | 6500 | inf | 0.4037 |
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+ | 0.585 | 0.9003 | 7000 | inf | 0.3872 |
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+ | 0.5509 | 0.9646 | 7500 | inf | 0.3832 |
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+ | 0.5263 | 1.0289 | 8000 | inf | 0.3727 |
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  ### Framework versions