| --- |
| base_model: Patcas/plbart-works |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: work-with-plbart |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # work-with-plbart |
|
|
| This model is a fine-tuned version of [Patcas/plbart-works](https://huggingface.co/Patcas/plbart-works) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.7953 |
|
|
| ## 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 |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 17 | 0.8711 | |
| | No log | 2.0 | 34 | 0.8598 | |
| | No log | 3.0 | 51 | 0.8400 | |
| | No log | 4.0 | 68 | 0.8216 | |
| | No log | 5.0 | 85 | 0.8102 | |
| | No log | 6.0 | 102 | 0.8053 | |
| | No log | 7.0 | 119 | 0.8000 | |
| | No log | 8.0 | 136 | 0.7954 | |
| | No log | 9.0 | 153 | 0.7954 | |
| | No log | 10.0 | 170 | 0.7953 | |
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| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
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|
