--- library_name: transformers license: apache-2.0 base_model: t5-small tags: - generated_from_trainer model-index: - name: code-to-json-documentor results: [] --- # code-to-json-documentor 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: 3.0414 ## 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: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 1 | 3.0574 | | No log | 2.0 | 2 | 3.0554 | | No log | 3.0 | 3 | 3.0528 | | No log | 4.0 | 4 | 3.0471 | | No log | 5.0 | 5 | 3.0414 | ### Framework versions - Transformers 4.53.1 - Pytorch 2.6.0+cu124 - Datasets 2.14.4 - Tokenizers 0.21.2