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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: google-t5/t5-small |
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model-index: |
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- name: T5_lyrics-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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# T5_lyrics-model |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1808 |
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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: 0.0002 |
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- train_batch_size: 2 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 8 |
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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_steps: 1 |
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- training_steps: 250 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 6.3144 | 0.01 | 25 | 1.5334 | |
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| 1.2668 | 0.02 | 50 | 0.6688 | |
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| 1.021 | 0.03 | 75 | 0.3675 | |
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| 0.5247 | 0.03 | 100 | 0.3007 | |
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| 0.6415 | 0.04 | 125 | 0.2400 | |
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| 0.3774 | 0.05 | 150 | 0.2170 | |
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| 0.5336 | 0.06 | 175 | 0.1966 | |
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| 0.3201 | 0.07 | 200 | 0.1882 | |
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| 0.5068 | 0.08 | 225 | 0.1824 | |
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| 0.3218 | 0.08 | 250 | 0.1808 | |
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### Framework versions |
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- PEFT 0.8.2 |
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- Transformers 4.38.1 |
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- Pytorch 1.13.1 |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
