--- license: apache-2.0 base_model: tuner007/pegasus_summarizer tags: - simplification - generated_from_trainer metrics: - bleu model-index: - name: pegasus-trial results: [] --- # pegasus-trial This model is a fine-tuned version of [tuner007/pegasus_summarizer](https://huggingface.co/tuner007/pegasus_summarizer) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2040 - Bleu: 78.9331 - Gen Len: 25.4062 ## 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: 5.6e-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: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:| | 0.2604 | 1.0 | 1171 | 0.3016 | 77.0102 | 25.2188 | | 0.1384 | 2.0 | 2342 | 0.2040 | 78.9331 | 25.4062 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2