| | --- |
| | license: apache-2.0 |
| | base_model: t5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: Summary |
| | 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. --> |
| |
|
| | # Summary |
| |
|
| | 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: 1.7430 |
| | - Rouge1: 0.2448 |
| | - Rouge2: 0.1173 |
| | - Rougel: 0.2028 |
| | - Rougelsum: 0.2029 |
| | - Gen Len: 19.0 |
| |
|
| | ## 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: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | No log | 1.0 | 282 | 1.7743 | 0.2429 | 0.1151 | 0.2007 | 0.2008 | 18.9976 | |
| | | 2.0101 | 2.0 | 564 | 1.7550 | 0.2448 | 0.1169 | 0.203 | 0.2032 | 18.9976 | |
| | | 2.0101 | 3.0 | 846 | 1.7477 | 0.2451 | 0.1178 | 0.2034 | 0.2036 | 18.9976 | |
| | | 1.9145 | 4.0 | 1128 | 1.7441 | 0.2449 | 0.1173 | 0.2028 | 0.203 | 18.9976 | |
| | | 1.9145 | 5.0 | 1410 | 1.7430 | 0.2448 | 0.1173 | 0.2028 | 0.2029 | 19.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| |
|
