--- license: apache-2.0 base_model: t5-base tags: - convert-pov - 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: 0.2885 - Bleu: 66.5293 ## 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 | |:-------------:|:-----:|:----:|:---------------:|:-------:| | 0.3777 | 1.0 | 1019 | 0.3172 | 65.4600 | | 0.3352 | 2.0 | 2038 | 0.2945 | 66.2206 | | 0.3228 | 3.0 | 3057 | 0.2885 | 66.5293 | ### Framework versions - Transformers 4.34.0 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.14.1