| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - xsum | |
| model-index: | |
| - name: ReFormer-summarization | |
| 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. --> | |
| # ReFormer-summarization | |
| This model is a fine-tuned version of [](https://huggingface.co/) on the xsum dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 4.5207 | |
| ## Model description | |
| More information needed | |
| ## Intended uses & limitations | |
| More information needed | |
| ## Training and evaluation data | |
| More information needed | |
| ## Training procedure | |
| ### Training hyperparameters | |
| The following hyperparameters were used during training: | |
| - learning_rate: 0.001 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - lr_scheduler_warmup_steps: 100 | |
| - num_epochs: 3 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:-----:|:---------------:| | |
| | 5.336 | 1.0 | 23050 | 4.8078 | | |
| | 4.6673 | 2.0 | 46100 | 4.5712 | | |
| | 4.519 | 3.0 | 69150 | 4.5207 | | |
| ### Framework versions | |
| - Transformers 4.35.2 | |
| - Pytorch 2.1.0+cu118 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.15.0 | |