--- library_name: transformers license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: classification results: [] --- # classification 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: 0.2399 - Rouge1: 86.2698 - Rouge2: 63.1746 - Rougel: 86.2698 - Rougelsum: 86.2698 - Gen Len: 2.7540 ## 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 | 315 | 0.2980 | 84.2857 | 59.8413 | 84.2857 | 84.3651 | 2.7635 | | 0.405 | 2.0 | 630 | 0.2399 | 86.2698 | 63.1746 | 86.2698 | 86.2698 | 2.7540 | | 0.405 | 3.0 | 945 | 0.3172 | 85.7143 | 65.7143 | 85.7143 | 85.7143 | 2.8111 | | 0.1669 | 4.0 | 1260 | 0.3197 | 86.5079 | 64.6032 | 86.5079 | 86.5873 | 2.7762 | | 0.1291 | 5.0 | 1575 | 0.3394 | 85.3968 | 65.2381 | 85.3175 | 85.4762 | 2.8 | ### Framework versions - Transformers 4.50.3 - Pytorch 2.6.0+cu124 - Datasets 2.20.0 - Tokenizers 0.21.0