--- license: apache-2.0 base_model: moussaKam/barthez-orangesum-abstract tags: - generated_from_trainer model-index: - name: sarcasm_BARThez_v2 results: [] --- # sarcasm_BARThez_v2 This model is a fine-tuned version of [moussaKam/barthez-orangesum-abstract](https://huggingface.co/moussaKam/barthez-orangesum-abstract) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.5708 ## 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: 2.5e-05 - train_batch_size: 2 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.5084 | 1.0 | 732 | 0.6098 | | 0.6148 | 2.0 | 1464 | 0.5692 | | 0.476 | 3.0 | 2196 | 0.5708 | ### Framework versions - Transformers 4.38.1 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2