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flan-t5-small-samsum
This model is a fine-tuned version of google/flan-t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.6313
- Rouge1: 44.0269
- Rouge2: 20.0328
- Rougel: 36.6724
- Rougelsum: 40.1413
- Gen Len: 16.8120
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 |
|---|---|---|---|---|---|---|---|---|
| 1.5776 | 1.0 | 1842 | 1.6419 | 43.5645 | 19.3402 | 36.24 | 39.8321 | 16.8242 |
| 1.5492 | 2.0 | 3684 | 1.6314 | 43.7723 | 19.3665 | 36.3105 | 39.8579 | 16.9744 |
| 1.5435 | 3.0 | 5526 | 1.6355 | 43.7953 | 19.6781 | 36.3307 | 39.9281 | 16.7937 |
| 1.5375 | 4.0 | 7368 | 1.6338 | 43.7685 | 19.7748 | 36.3904 | 39.9452 | 16.8852 |
| 1.5386 | 5.0 | 9210 | 1.6313 | 44.0269 | 20.0328 | 36.6724 | 40.1413 | 16.8120 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
