| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | base_model: t5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: summarize_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. --> |
| |
|
| | # summarize_model |
| | |
| | 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: 1.7638 |
| | - Rouge1: 0.2453 |
| | - Rouge2: 0.1053 |
| | - Rougel: 0.1992 |
| | - Rougelsum: 0.1988 |
| | - 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: 3e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| | - 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 | 100 | 1.8301 | 0.2376 | 0.0971 | 0.1916 | 0.1915 | 19.0 | |
| | | No log | 2.0 | 200 | 1.7931 | 0.2424 | 0.0991 | 0.1954 | 0.1953 | 19.0 | |
| | | No log | 3.0 | 300 | 1.7741 | 0.241 | 0.1015 | 0.1954 | 0.1952 | 19.0 | |
| | | No log | 4.0 | 400 | 1.7658 | 0.244 | 0.105 | 0.1986 | 0.1983 | 19.0 | |
| | | 2.0548 | 5.0 | 500 | 1.7638 | 0.2453 | 0.1053 | 0.1992 | 0.1988 | 19.0 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.46.3 |
| | - Pytorch 2.5.1+cu121 |
| | - Datasets 3.1.0 |
| | - Tokenizers 0.20.3 |
| | |
