| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - cnn_dailymail |
| model-index: |
| - name: t5-small-summarization |
| results: [] |
| --- |
| |
| # t5-small-summarization |
|
|
| This model is a fine-tuned version of t5-small (https://huggingface.co/t5-small) on the cnn_dailymail dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6477 |
| |
| ## Model description |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0002 |
| - 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: 1 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 1.9195 | 1.0 | 718 | 1.6477 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.21.1 |
| - Pytorch 1.12.0+cu113 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
| |
