--- license: apache-2.0 base_model: t5-base tags: - generated_from_trainer metrics: - bleu model-index: - name: output results: [] --- # output This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.2911 - Bleu: 65.8974 ## 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: 32 - eval_batch_size: 64 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.3791 | 1.0 | 1019 | 0.3168 | 65.3989 | | 0.3382 | 2.0 | 2038 | 0.2945 | 66.2317 | | 0.3251 | 3.0 | 3057 | 0.2890 | 66.3165 | ### Framework versions - Transformers 4.34.1 - Pytorch 2.1.0+cu118 - Datasets 2.14.6 - Tokenizers 0.14.1