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End of training

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README.md CHANGED
@@ -3,9 +3,6 @@ license: apache-2.0
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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: []
@@ -17,10 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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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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@@ -51,15 +44,6 @@ The following hyperparameters were used during training:
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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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-
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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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-
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-
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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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