--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer metrics: - bleu model-index: - name: Code_Corrector_Model results: [] --- # Code_Corrector_Model 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: 9.7240 - Bleu: 0.0 - Gen Len: 19.0 ## 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: 16 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 2 ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:----:|:-------:| | 13.7281 | 1.0 | 1 | 9.8868 | 0.0 | 19.0 | | 14.0714 | 2.0 | 2 | 9.7240 | 0.0 | 19.0 | ### Framework versions - Transformers 4.33.0 - Pytorch 2.0.0+cpu - Datasets 2.1.0 - Tokenizers 0.13.3