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--- |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: chord_model |
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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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# chord_model |
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This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5219 |
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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: 0.0001 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 444 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.3 |
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- training_steps: 0 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 0.9483 | 0.43 | 500 | 0.8710 | |
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| 0.7688 | 0.86 | 1000 | 0.7363 | |
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| 0.6949 | 1.28 | 1500 | 0.6479 | |
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| 0.6295 | 1.71 | 2000 | 0.5840 | |
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| 0.6093 | 2.14 | 2500 | 0.5532 | |
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| 0.5865 | 2.57 | 3000 | 0.5368 | |
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| 0.5559 | 2.99 | 3500 | 0.5281 | |
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| 0.5772 | 3.42 | 4000 | 0.5236 | |
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| 0.5641 | 3.85 | 4500 | 0.5219 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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