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End of training

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README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: transformers
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  license: apache-2.0
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- base_model: leahkerry/audiotutorial_model2
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -16,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
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  # audiotutorial_model2
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- This model is a fine-tuned version of [leahkerry/audiotutorial_model2](https://huggingface.co/leahkerry/audiotutorial_model2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.5924
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- - Accuracy: 0.2667
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  ## Model description
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@@ -38,7 +38,7 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0003
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 13.0388 | 1.0 | 23 | 1.8670 | 0.2667 |
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- | 7.8785 | 2.0 | 46 | 1.5893 | 0.2889 |
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- | 6.4881 | 3.0 | 69 | 1.5805 | 0.2667 |
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- | 6.4153 | 4.0 | 92 | 1.5860 | 0.2667 |
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- | 6.4293 | 4.8 | 110 | 1.5924 | 0.2667 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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  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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  # audiotutorial_model2
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5295
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+ - Accuracy: 0.9111
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 3.3e-05
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  - train_batch_size: 2
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  - eval_batch_size: 2
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.5909 | 1.0 | 23 | 0.5326 | 0.9111 |
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+ | 1.6955 | 2.0 | 46 | 0.5965 | 0.8667 |
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+ | 1.0633 | 3.0 | 69 | 0.6074 | 0.8667 |
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+ | 0.5805 | 4.0 | 92 | 0.6958 | 0.8444 |
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+ | 0.5385 | 4.8 | 110 | 0.5295 | 0.9111 |
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  ### Framework versions
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