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: 1.3709
- Rouge1: 46.9065
- Rouge2: 23.3343
- Rougel: 39.5692
- Rougelsum: 43.1595
- Gen Len: 17.2027
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 | 1.3829 | 46.5077 | 23.125 | 39.4581 | 42.8659 | 17.0977 |
| 1.3534 | 2.0 | 3684 | 1.3732 | 47.0777 | 23.5105 | 39.6104 | 43.2441 | 17.4554 |
| 1.2795 | 3.0 | 5526 | 1.3709 | 46.9065 | 23.3343 | 39.5692 | 43.1595 | 17.2027 |
| 1.2313 | 4.0 | 7368 | 1.3736 | 47.4587 | 23.7481 | 39.9896 | 43.6309 | 17.2198 |
| 1.1934 | 5.0 | 9210 | 1.3772 | 47.4463 | 23.912 | 40.0753 | 43.7033 | 17.3162 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
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