--- library_name: transformers license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: classification1 results: [] --- # classification1 This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset. It achieves the following results on the evaluation set: - Loss: 0.4874 - Rouge1: 56.4976 - Rouge2: 45.9447 - Rougel: 55.0125 - Rougelsum: 54.9996 - Gen Len: 20.0 ## 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: 5e-05 - 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 - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | No log | 1.0 | 341 | 0.5881 | 55.4823 | 44.838 | 53.9203 | 53.9211 | 20.0 | | 0.8666 | 2.0 | 682 | 0.5256 | 56.1247 | 45.1956 | 54.5158 | 54.4802 | 20.0 | | 0.6031 | 3.0 | 1023 | 0.5002 | 55.0454 | 44.4031 | 53.5464 | 53.5119 | 20.0 | | 0.6031 | 4.0 | 1364 | 0.4916 | 55.8217 | 45.0941 | 54.3072 | 54.3437 | 20.0 | | 0.5294 | 5.0 | 1705 | 0.4874 | 56.4976 | 45.9447 | 55.0125 | 54.9996 | 20.0 | ### Framework versions - Transformers 4.50.3 - Pytorch 2.6.0+cu124 - Datasets 2.20.0 - Tokenizers 0.21.0