| base_model: liamvbetts/t5-small-finetuned-2024-03-22 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: t5-small-finetuned-2024-03-23 | |
| 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-2024-03-23 | |
| This model is a fine-tuned version of [liamvbetts/t5-small-finetuned-2024-03-22](https://huggingface.co/liamvbetts/t5-small-finetuned-2024-03-22) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.9844 | |
| - Rouge1: 31.4542 | |
| - Rouge2: 16.6935 | |
| - Rougel: 26.6655 | |
| - Rougelsum: 27.3247 | |
| - Gen Len: 18.8028 | |
| ## 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: 4e-05 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 2.0832 | 1.0 | 282 | 1.9844 | 31.4542 | 16.6935 | 26.6655 | 27.3247 | 18.8028 | | |
| ### Framework versions | |
| - Transformers 4.39.3 | |
| - Pytorch 2.2.1+cu121 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |