--- license: apache-2.0 tags: - generated_from_trainer model-index: - name: reinforce-dd results: [] --- # reinforce-dd This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.0000 ## 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: 0.0005 - train_batch_size: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 1000 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | 0.5375 | 1.35 | 500 | 0.0017 | | 0.0001 | 2.7 | 1000 | 0.0000 | | 0.0 | 4.05 | 1500 | 0.0000 | ### Framework versions - Transformers 4.22.1 - Pytorch 1.12.0 - Datasets 2.5.1 - Tokenizers 0.12.1