| license: apache-2.0 | |
| base_model: sshleifer/distilbart-xsum-12-3 | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: sarcasm_BART_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. --> | |
| # sarcasm_BART_v2 | |
| This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.8877 | |
| ## 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: 2e-05 | |
| - train_batch_size: 3 | |
| - eval_batch_size: 3 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 5 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | | |
| |:-------------:|:-----:|:----:|:---------------:| | |
| | No log | 1.0 | 488 | 0.9496 | | |
| | 1.559 | 2.0 | 976 | 0.9030 | | |
| | 0.8131 | 3.0 | 1464 | 0.8735 | | |
| | 0.6286 | 4.0 | 1952 | 0.8715 | | |
| | 0.5382 | 5.0 | 2440 | 0.8877 | | |
| ### Framework versions | |
| - Transformers 4.38.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |