--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer model-index: - name: t5 results: [] --- # t5 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. It achieves the following results on the evaluation set: - Loss: 9.1484 ## 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: 0.0002 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - lr_scheduler_warmup_ratio: 0.03 - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 16.5441 | 0.19 | 25 | 15.5859 | | 12.0328 | 0.38 | 50 | 11.125 | | 9.1945 | 0.56 | 75 | 9.8359 | | 7.9454 | 0.75 | 100 | 9.2734 | | 7.463 | 0.94 | 125 | 9.1484 | ### Framework versions - Transformers 4.38.2 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.15.2