--- license: apache-2.0 base_model: t5-small tags: - generated_from_trainer metrics: - rouge model-index: - name: T5Model_for_Ecommerce results: [] --- # T5Model_for_Ecommerce 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: 1.0925 - Rouge1: 0.0 - Rouge2: 0.0 - Rougel: 0.0 - Rougelsum: 0.0 - Gen Len: 0.0 ## 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: 15 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | No log | 1.0 | 27 | 4.2405 | 0.2073 | 0.0872 | 0.1748 | 0.1742 | 19.0 | | No log | 2.0 | 54 | 1.6978 | 0.0364 | 0.0169 | 0.0301 | 0.0297 | 2.8148 | | No log | 3.0 | 81 | 1.4167 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 4.0 | 108 | 1.3413 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 5.0 | 135 | 1.2888 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 6.0 | 162 | 1.2486 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 7.0 | 189 | 1.2120 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 8.0 | 216 | 1.1818 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 9.0 | 243 | 1.1546 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 10.0 | 270 | 1.1346 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 11.0 | 297 | 1.1174 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 12.0 | 324 | 1.1063 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 13.0 | 351 | 1.0991 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 14.0 | 378 | 1.0940 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | | No log | 15.0 | 405 | 1.0925 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.0 - Tokenizers 0.15.0