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flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3721
- Rouge1: 47.698
- Rouge2: 23.8078
- Rougel: 40.1138
- Rougelsum: 43.7749
- Gen Len: 17.2759
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4403 | 1.0 | 1842 | 1.3822 | 47.3182 | 23.8486 | 39.7145 | 43.5756 | 17.0256 |
| 1.3572 | 2.0 | 3684 | 1.3747 | 47.5891 | 23.6341 | 39.7983 | 43.6862 | 17.4347 |
| 1.2822 | 3.0 | 5526 | 1.3721 | 47.698 | 23.8078 | 40.1138 | 43.7749 | 17.2759 |
| 1.2375 | 4.0 | 7368 | 1.3764 | 47.7671 | 24.1413 | 40.1597 | 43.9313 | 17.2943 |
| 1.1935 | 5.0 | 9210 | 1.3781 | 47.626 | 23.7564 | 39.844 | 43.7166 | 17.3077 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
