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WaveGenAI/lyrics-detection

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README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.9459
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- - Accuracy: 0.0
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  ## Model description
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@@ -38,10 +38,10 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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- - train_batch_size: 32
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- - eval_batch_size: 32
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  - seed: 42
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- - gradient_accumulation_steps: 4
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  - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -50,18 +50,18 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 1 | 0.6881 | 1.0 |
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- | No log | 2.0 | 2 | 0.7605 | 0.0 |
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- | No log | 3.0 | 3 | 0.8241 | 0.0 |
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- | No log | 4.0 | 4 | 0.8204 | 0.0 |
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- | No log | 5.0 | 5 | 0.8452 | 0.0 |
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- | No log | 6.0 | 6 | 0.8754 | 0.0 |
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- | No log | 7.0 | 7 | 0.8984 | 0.0 |
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- | No log | 8.0 | 8 | 0.9101 | 0.0 |
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- | No log | 9.0 | 9 | 0.8928 | 0.0 |
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- | 0.1385 | 10.0 | 10 | 0.9459 | 0.0 |
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  ### Framework versions
 
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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: 0.6254
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+ - Accuracy: 0.6
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 3e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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  - seed: 42
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+ - gradient_accumulation_steps: 128
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  - total_train_batch_size: 128
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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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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.9956 | 7 | 0.6137 | 0.71 |
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+ | 0.6734 | 1.9911 | 14 | 0.5822 | 0.71 |
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+ | 0.6594 | 2.9867 | 21 | 0.6136 | 0.72 |
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+ | 0.6594 | 3.9822 | 28 | 0.6369 | 0.72 |
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+ | 0.6299 | 4.9778 | 35 | 0.6399 | 0.62 |
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+ | 0.6204 | 5.9733 | 42 | 0.6647 | 0.56 |
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+ | 0.6204 | 6.9689 | 49 | 0.6278 | 0.66 |
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+ | 0.6156 | 7.9644 | 56 | 0.6578 | 0.67 |
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+ | 0.6261 | 8.96 | 63 | 0.6107 | 0.65 |
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+ | 0.5914 | 9.9556 | 70 | 0.6254 | 0.6 |
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  ### Framework versions
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