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paper-summarization
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3296
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2336 | 1.0 | 78 | 2.5990 |
| 2.7888 | 2.0 | 156 | 2.3754 |
| 2.5667 | 3.0 | 234 | 2.3296 |
Framework versions
- Transformers 4.31.0
- Pytorch 1.13.1
- Datasets 2.12.0
- Tokenizers 0.13.3
