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--- |
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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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- accuracy |
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model-index: |
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- name: lyrics_detect |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# lyrics_detect |
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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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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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- Transformers 4.43.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.21.0 |
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- Tokenizers 0.19.1 |
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