--- license: apache-2.0 tags: - generated_from_trainer base_model: facebook/bart-large model-index: - name: bart-finetuned-lyrlen-128-special_tokens results: [] --- # bart-finetuned-lyrlen-128-special_tokens This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 2.9389 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 3.2828 | 0.33 | 500 | 3.0015 | | 3.0513 | 0.67 | 1000 | 2.9361 | | 2.9573 | 1.0 | 1500 | 2.9111 | | 2.8841 | 1.33 | 2000 | 2.9007 | | 2.8352 | 1.67 | 2500 | 2.9764 | | 2.7897 | 2.0 | 3000 | 2.9606 | | 2.7511 | 2.33 | 3500 | 2.9490 | | 2.7284 | 2.67 | 4000 | 2.9458 | | 2.7167 | 3.0 | 4500 | 2.9470 | | 2.7226 | 3.33 | 5000 | 2.9418 | | 2.6823 | 3.67 | 5500 | 2.9317 | | 2.6445 | 4.0 | 6000 | 2.9389 | ### Framework versions - Transformers 4.39.0.dev0 - Pytorch 2.2.1+cu121 - Datasets 2.18.0 - Tokenizers 0.15.2