| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: google-t5/t5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: summarization_model |
| | 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. --> |
| |
|
| | # summarization_model |
| | |
| | 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: 2.5844 |
| | - Rouge1: 0.1489 |
| | - Rouge2: 0.0567 |
| | - Rougel: 0.1219 |
| | - Rougelsum: 0.1218 |
| | - Gen Len: 20.0 |
| | |
| | ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - 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 | 62 | 2.8863 | 0.137 | 0.0437 | 0.1112 | 0.1112 | 20.0 | |
| | | No log | 2.0 | 124 | 2.6658 | 0.142 | 0.0491 | 0.1166 | 0.1168 | 20.0 | |
| | | No log | 3.0 | 186 | 2.6022 | 0.1487 | 0.058 | 0.1222 | 0.1221 | 20.0 | |
| | | No log | 4.0 | 248 | 2.5844 | 0.1489 | 0.0567 | 0.1219 | 0.1218 | 20.0 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.57.3 |
| | - Pytorch 2.9.0+cu126 |
| | - Datasets 4.0.0 |
| | - Tokenizers 0.22.2 |
| |
|
