| license: apache-2.0 | |
| base_model: google-t5/t5-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: tidy-tab-model-t5-small | |
| 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. --> | |
| # tidy-tab-model-t5-small | |
| This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 0.9664 | |
| - Rouge1: 0.7291 | |
| - Rouge2: 0.6063 | |
| - Rougel: 0.7259 | |
| - Rougelsum: 0.7278 | |
| - Gen Len: 6.9658 | |
| ## 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: 12 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-------:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | 0.9199 | 3.7879 | 500 | 0.9804 | 0.735 | 0.61 | 0.7309 | 0.7326 | 7.0299 | | |
| | 0.8632 | 7.5758 | 1000 | 0.9696 | 0.7269 | 0.6049 | 0.7237 | 0.7253 | 6.9786 | | |
| | 0.8398 | 11.3636 | 1500 | 0.9664 | 0.7291 | 0.6063 | 0.7259 | 0.7278 | 6.9658 | | |
| ### Framework versions | |
| - Transformers 4.41.2 | |
| - Pytorch 2.3.0+cu121 | |
| - Datasets 2.20.0 | |
| - Tokenizers 0.19.1 | |