--- library_name: transformers license: apache-2.0 base_model: t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: results-t5base-of-concluding_statements results: [] --- # results-t5base-of-concluding_statements 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: 0.3235 - Rouge1: 0.4154 - Rouge2: 0.1527 - Rougel: 0.3348 - Gen Len: 60.3511 ## 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: 0.0001 - train_batch_size: 8 - eval_batch_size: 8 - 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 - lr_scheduler_warmup_steps: 500 - num_epochs: 3 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len | |:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:-------:| | 0.3584 | 0.4950 | 200 | 0.3740 | 0.4033 | 0.1406 | 0.3201 | 59.3288 | | 0.3465 | 0.9901 | 400 | 0.3346 | 0.4122 | 0.1494 | 0.3303 | 60.3201 | | 0.3157 | 1.4851 | 600 | 0.3281 | 0.4152 | 0.1525 | 0.3338 | 60.3498 | | 0.3352 | 1.9802 | 800 | 0.3254 | 0.4155 | 0.153 | 0.3354 | 60.3511 | | 0.338 | 2.4752 | 1000 | 0.3242 | 0.4152 | 0.1523 | 0.3344 | 60.3511 | | 0.3181 | 2.9703 | 1200 | 0.3235 | 0.4154 | 0.1527 | 0.3348 | 60.3511 | ### Framework versions - Transformers 4.51.3 - Pytorch 2.5.1+cu124 - Datasets 3.5.0 - Tokenizers 0.21.0