End of training
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README.md
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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model-index:
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- name: wav2vec2-attempt2
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results: []
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# wav2vec2-attempt2
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.1508
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- Accuracy: 0.0208
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- F1: 0.0130
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## Model description
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- num_epochs: 3
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| No log | 0.89 | 2 | 3.1398 | 0.0208 | 0.0136 |
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| No log | 1.78 | 4 | 3.1398 | 0.0208 | 0.0136 |
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| No log | 2.67 | 6 | 3.1508 | 0.0208 | 0.0130 |
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### Framework versions
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- Transformers 4.36.2
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base_model: facebook/wav2vec2-base
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tags:
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- generated_from_trainer
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model-index:
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- name: wav2vec2-attempt2
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results: []
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# wav2vec2-attempt2
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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## Model description
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Framework versions
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- Transformers 4.36.2
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model.safetensors
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