| --- |
| base_model: Patcas/plbart-works |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: plbart-docs-v2 |
| 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. --> |
|
|
| # plbart-docs-v2 |
|
|
| 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: 0.9167 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## 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: 1 |
| - eval_batch_size: 1 |
| - 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 | 230 | 0.9578 | |
| | No log | 2.0 | 460 | 0.8802 | |
| | 0.9795 | 3.0 | 690 | 0.8768 | |
| | 0.9795 | 4.0 | 920 | 0.8875 | |
| | 0.335 | 5.0 | 1150 | 0.8897 | |
| | 0.335 | 6.0 | 1380 | 0.9047 | |
| | 0.1643 | 7.0 | 1610 | 0.8998 | |
| | 0.1643 | 8.0 | 1840 | 0.9090 | |
| | 0.0945 | 9.0 | 2070 | 0.9151 | |
| | 0.0945 | 10.0 | 2300 | 0.9167 | |
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| ### Framework versions |
|
|
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
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|
