End of training
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README.md
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-large-xls-r-300m-dysarthria
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results: []
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- eval_runtime: 669.889
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- eval_samples_per_second: 27.252
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- eval_steps_per_second: 3.407
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- epoch: 0.26
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- step: 1200
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## Model description
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- num_epochs: 30
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.35.2
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base_model: facebook/wav2vec2-xls-r-300m
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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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model-index:
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- name: wav2vec2-large-xls-r-300m-dysarthria
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results: []
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0615
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- Wer: 0.1764
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## Model description
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- num_epochs: 30
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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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| 16.998 | 2.17 | 400 | 3.4205 | 1.0 |
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| 3.6507 | 4.34 | 800 | 3.2819 | 1.0 |
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| 3.2148 | 6.5 | 1200 | 3.0239 | 1.0 |
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| 2.8464 | 8.67 | 1600 | 2.5810 | 1.0 |
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| 2.3923 | 10.84 | 2000 | 2.2368 | 1.0 |
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| 1.9358 | 13.01 | 2400 | 1.7072 | 1.0 |
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| 1.5043 | 15.18 | 2800 | 1.3435 | 1.0 |
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| 1.1169 | 17.34 | 3200 | 0.8979 | 0.9701 |
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| 0.749 | 19.51 | 3600 | 0.5764 | 0.7490 |
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| 0.4855 | 21.68 | 4000 | 0.2876 | 0.4763 |
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| 0.2902 | 23.85 | 4400 | 0.1645 | 0.3379 |
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| 0.198 | 26.02 | 4800 | 0.0988 | 0.2307 |
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| 0.1358 | 28.18 | 5200 | 0.0615 | 0.1764 |
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### Framework versions
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- Transformers 4.35.2
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model.safetensors
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runs/Jan29_15-39-14_91637785477b/events.out.tfevents.1706542837.91637785477b.358.0
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