--- license: mit tags: - generated_from_trainer model-index: - name: pegasus-base-qag-bg-finetuned-punctuation-bg results: [] --- # pegasus-base-qag-bg-finetuned-punctuation-bg This model is a fine-tuned version of [rmihaylov/pegasus-base-qag-bg](https://huggingface.co/rmihaylov/pegasus-base-qag-bg) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0318 ## 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: 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: 8 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:-----:|:---------------:| | 0.0563 | 1.0 | 4063 | 0.0279 | | 0.0301 | 2.0 | 8126 | 0.0260 | | 0.0227 | 3.0 | 12189 | 0.0259 | | 0.0178 | 4.0 | 16252 | 0.0281 | | 0.0145 | 5.0 | 20315 | 0.0290 | | 0.0122 | 6.0 | 24378 | 0.0300 | | 0.0105 | 7.0 | 28441 | 0.0305 | | 0.0095 | 8.0 | 32504 | 0.0318 | ### Framework versions - Transformers 4.24.0 - Pytorch 1.12.1+cu113 - Datasets 2.7.0 - Tokenizers 0.13.2