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
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