--- license: apache-2.0 base_model: facebook/bart-base tags: - generated_from_trainer model-index: - name: finetuned-bartB-samsum results: [] --- # finetuned-bartB-samsum This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.3250 ## 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: 5e-05 - 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: linear - lr_scheduler_warmup_steps: 500 - num_epochs: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 1.7398 | 0.54 | 1000 | 0.3636 | | 0.3869 | 1.09 | 2000 | 0.3406 | | 0.3327 | 1.63 | 3000 | 0.3334 | | 0.309 | 2.17 | 4000 | 0.3325 | | 0.2776 | 2.71 | 5000 | 0.3262 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.1.0+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2