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: 1.3743
- Rouge1: 48.562
- Rouge2: 25.0327
- Rougel: 39.1235
- Rougelsum: 45.0049
- Gen Len: 36.8362
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4116 | 1.0 | 1842 | 1.3851 | 48.539 | 25.203 | 39.2261 | 45.201 | 36.8753 |
| 1.3387 | 2.0 | 3684 | 1.3743 | 48.562 | 25.0327 | 39.1235 | 45.0049 | 36.8362 |
| 1.3189 | 3.0 | 5526 | 1.3748 | 48.7279 | 25.0598 | 39.1658 | 45.1284 | 36.9438 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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