| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: five_epoch |
| 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. --> |
|
|
| # five_epoch |
| |
| 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: 2.7970 |
| - Rouge1: 0.2098 |
| - Rouge2: 0.0823 |
| - Rougel: 0.1904 |
| - Rougelsum: 0.1905 |
| - Gen Len: 17.47 |
| |
| ## 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: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - 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 | 107 | 3.2569 | 0.1107 | 0.018 | 0.0981 | 0.0978 | 18.5 | |
| | No log | 2.0 | 214 | 2.9546 | 0.1386 | 0.0334 | 0.1187 | 0.1186 | 18.09 | |
| | No log | 3.0 | 321 | 2.8548 | 0.1721 | 0.0587 | 0.1544 | 0.1544 | 17.76 | |
| | No log | 4.0 | 428 | 2.8110 | 0.204 | 0.0774 | 0.1862 | 0.1871 | 17.64 | |
| | 3.1308 | 5.0 | 535 | 2.7970 | 0.2098 | 0.0823 | 0.1904 | 0.1905 | 17.47 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
