| --- |
| license: apache-2.0 |
| base_model: t5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: first_trial |
| 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. --> |
|
|
| # first_trial |
| |
| 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: 2.6043 |
| - Rouge1: 0.1456 |
| - Rouge2: 0.0437 |
| - Rougel: 0.1267 |
| - Rougelsum: 0.1267 |
| - Gen Len: 18.4047 |
| |
| ## 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: 4 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 1.0 | 54 | 3.0826 | 0.1077 | 0.0244 | 0.092 | 0.0922 | 18.9059 | |
| | No log | 2.0 | 108 | 2.7618 | 0.1172 | 0.0267 | 0.101 | 0.1013 | 18.7259 | |
| | No log | 3.0 | 162 | 2.6393 | 0.1326 | 0.035 | 0.1159 | 0.116 | 18.4753 | |
| | No log | 4.0 | 216 | 2.6043 | 0.1456 | 0.0437 | 0.1267 | 0.1267 | 18.4047 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.0+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
| |
