flan-t5-small-finetuned-question-generation
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5998
- Rouge1: 50.1718
- Rouge2: 27.5603
- Rougel: 46.3981
- Rougelsum: 46.3975
- Gen Len: 13.7948
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: 0.0001
- 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.819 | 1.0 | 10913 | 1.6159 | 48.8496 | 26.1270 | 45.1331 | 45.1442 | 13.8064 |
| 1.6487 | 2.0 | 21826 | 1.5947 | 48.8142 | 26.2209 | 45.1475 | 45.1482 | 13.8229 |
| 1.5546 | 3.0 | 32739 | 1.5910 | 49.6261 | 27.1655 | 45.9472 | 45.9535 | 13.9086 |
| 1.4862 | 4.0 | 43652 | 1.5887 | 49.9953 | 27.4630 | 46.2824 | 46.2841 | 13.7223 |
| 1.4327 | 5.0 | 54565 | 1.5950 | 50.1663 | 27.6038 | 46.4602 | 46.4721 | 13.7106 |
| 1.3907 | 6.0 | 65478 | 1.5910 | 49.9510 | 27.4795 | 46.2230 | 46.2218 | 13.8172 |
| 1.3598 | 7.0 | 76391 | 1.5973 | 50.1049 | 27.4804 | 46.3268 | 46.3300 | 13.7966 |
| 1.3388 | 8.0 | 87304 | 1.5998 | 50.1718 | 27.5603 | 46.3981 | 46.3975 | 13.7948 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1