| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: t5-small-finetuned-t5-Thor4 | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # t5-small-finetuned-t5-Thor4 | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.5607 | |
| - Rouge1: 30.1917 | |
| - Rouge2: 17.6334 | |
| - Rougel: 26.8513 | |
| - Rougelsum: 28.7606 | |
| - Gen Len: 18.9881 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 1.9251 | 1.0 | 675 | 1.6082 | 29.3372 | 16.9607 | 26.1096 | 27.9357 | 18.9874 | | |
| | 1.763 | 2.0 | 1350 | 1.5696 | 30.1869 | 17.5627 | 26.8425 | 28.7413 | 18.9881 | | |
| | 1.7139 | 3.0 | 2025 | 1.5607 | 30.1917 | 17.6334 | 26.8513 | 28.7606 | 18.9881 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.13.2 | |