WaveGenAI/lyrics-detection
Browse files
README.md
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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.
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- Accuracy: 0.
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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:
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- eval_batch_size:
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- seed: 42
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- gradient_accumulation_steps:
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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
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| No log |
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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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model.safetensors
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runs/Aug24_15-50-28_jourdelune/events.out.tfevents.1724507428.jourdelune.39725.0
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