--- license: apache-2.0 base_model: google-t5/t5-small tags: - generated_from_trainer model-index: - name: finetuned_T5_amzn_v2 results: [] --- # finetuned_T5_amzn_v2 This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an the Amazon Fine Food Reviews dataset. It achieves the following results on the evaluation set: - Loss: 2.879612684249878 - Rouge1: 0.6625 - Rouge2: 0.4053 - Rougel: 0.1755 - Rougelsum: 0.1755 - Gen Len: 5.3418 - Bleu: 0.0178 - Bert Precision: 0.8657 - Bert Recall: 0.8505 - Bert F1: 0.8575 ## 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: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 16 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 4 - mixed_precision_training: Native AMP ### Training results ### Framework versions - Transformers 4.41.0 - Pytorch 2.1.2+cu121 - Datasets 2.16.1 - Tokenizers 0.19.1