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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: plbart-base-finetuned-ut-generator |
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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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# plbart-base-finetuned-ut-generator |
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This model is a fine-tuned version of [uclanlp/plbart-base](https://huggingface.co/uclanlp/plbart-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2744 |
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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-06 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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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: 6 |
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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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| 0.6096 | 0.44 | 500 | 0.3797 | |
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| 0.3706 | 0.89 | 1000 | 0.3465 | |
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| 0.3534 | 1.33 | 1500 | 0.3283 | |
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| 0.3132 | 1.78 | 2000 | 0.3142 | |
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| 0.305 | 2.22 | 2500 | 0.3044 | |
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| 0.2923 | 2.67 | 3000 | 0.2972 | |
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| 0.2908 | 3.11 | 3500 | 0.2911 | |
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| 0.2796 | 3.56 | 4000 | 0.2856 | |
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| 0.2731 | 4.0 | 4500 | 0.2814 | |
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| 0.2663 | 4.44 | 5000 | 0.2785 | |
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| 0.2638 | 4.89 | 5500 | 0.2764 | |
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| 0.2597 | 5.33 | 6000 | 0.2750 | |
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| 0.2522 | 5.78 | 6500 | 0.2744 | |
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### Framework versions |
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- Transformers 4.26.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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