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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: 3.2060
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- - Accuracy: 0.0968
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- - F1: 0.0275
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  ## Model description
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@@ -48,23 +41,9 @@ The following hyperparameters were used during training:
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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- - num_epochs: 8
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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 | 1.0 | 2 | 3.1418 | 0.0161 | 0.0021 |
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- | No log | 2.0 | 4 | 3.1418 | 0.0161 | 0.0021 |
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- | No log | 3.0 | 6 | 3.1482 | 0.0323 | 0.0098 |
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- | No log | 4.0 | 8 | 3.2063 | 0.0484 | 0.0155 |
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- | 3.1173 | 5.0 | 10 | 3.2176 | 0.0968 | 0.0188 |
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- | 3.1173 | 6.0 | 12 | 3.2240 | 0.0645 | 0.0067 |
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- | 3.1173 | 7.0 | 14 | 3.2105 | 0.0806 | 0.0202 |
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- | 3.1173 | 8.0 | 16 | 3.2060 | 0.0968 | 0.0275 |
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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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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 6
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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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