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--- |
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license: apache-2.0 |
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base_model: adamjweintraut/bart-finetuned-lyrlen-64-lines |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: bart-finetuned-kwsylgen-64-Rerun |
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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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# bart-finetuned-kwsylgen-64-Rerun |
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This model is a fine-tuned version of [adamjweintraut/bart-finetuned-lyrlen-64-lines](https://huggingface.co/adamjweintraut/bart-finetuned-lyrlen-64-lines) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.4231 |
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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: 5e-05 |
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- train_batch_size: 64 |
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- eval_batch_size: 64 |
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- seed: 42 |
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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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- num_epochs: 1 |
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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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| 0.4862 | 0.18 | 500 | 0.4553 | |
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| 0.4128 | 0.36 | 1000 | 0.4430 | |
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| 0.3923 | 0.54 | 1500 | 0.4311 | |
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| 0.3789 | 0.72 | 2000 | 0.4255 | |
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| 0.3722 | 0.9 | 2500 | 0.4231 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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