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--- |
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library_name: transformers |
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base_model: sandernotenbaert/okai-musiclang-content-t5-stable |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: okai-musiclang-content-t5-stable |
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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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# okai-musiclang-content-t5-stable |
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This model is a fine-tuned version of [sandernotenbaert/okai-musiclang-content-t5-stable](https://huggingface.co/sandernotenbaert/okai-musiclang-content-t5-stable) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1688 |
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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: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: cosine_with_restarts |
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- lr_scheduler_warmup_ratio: 0.1 |
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- lr_scheduler_warmup_steps: 200 |
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- num_epochs: 8 |
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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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| 2.4966 | 1.6556 | 500 | 2.3381 | |
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| 2.3699 | 3.3113 | 1000 | 2.2373 | |
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| 2.3337 | 4.9669 | 1500 | 2.1878 | |
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| 2.3111 | 6.6225 | 2000 | 2.1688 | |
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### Framework versions |
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- Transformers 4.54.1 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 4.0.0 |
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- Tokenizers 0.21.4 |
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