--- tags: - generated_from_trainer datasets: - samsum metrics: - rouge model-index: - name: pegasus-cnn_dailymail-finetuned-samsum-v2 results: - task: name: Sequence-to-sequence Language Modeling type: text2text-generation dataset: name: samsum type: samsum config: samsum split: train args: samsum metrics: - name: Rouge1 type: rouge value: 45.3045 --- # pegasus-cnn_dailymail-finetuned-samsum-v2 This model is a fine-tuned version of [google/pegasus-cnn_dailymail](https://huggingface.co/google/pegasus-cnn_dailymail) on the samsum dataset. It achieves the following results on the evaluation set: - Loss: 1.5218 - Rouge1: 45.3045 - Rouge2: 21.7601 - Rougel: 35.8643 - Rougelsum: 41.6595 - Gen Len: 35.4425 ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 8 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | 1.6997 | 1.0 | 1841 | 1.5218 | 45.3045 | 21.7601 | 35.8643 | 41.6595 | 35.4425 | ### Framework versions - Transformers 4.24.0 - Pytorch 1.12.1+cu113 - Datasets 2.7.1 - Tokenizers 0.13.2