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flanT5_small_title_desc_gen3
This model is a fine-tuned version of google/flan-T5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0447
- Rouge1: 3.245
- Rouge2: 1.8657
- Rougel: 2.6467
- Rougelsum: 2.8259
- Gen Len: 18.9464
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: 3e-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 |
|---|---|---|---|---|---|---|---|---|
| 0.4665 | 1.0 | 1530 | 0.2257 | 3.0316 | 1.4203 | 2.487 | 2.5912 | 17.4534 |
| 0.1688 | 2.0 | 3060 | 0.0930 | 2.9766 | 1.5759 | 2.4156 | 2.5652 | 18.6874 |
| 0.0977 | 3.0 | 4590 | 0.0585 | 3.1043 | 1.7062 | 2.5091 | 2.6752 | 18.8824 |
| 0.0755 | 4.0 | 6120 | 0.0475 | 3.1576 | 1.7719 | 2.5574 | 2.7314 | 18.9477 |
| 0.0673 | 5.0 | 7650 | 0.0447 | 3.245 | 1.8657 | 2.6467 | 2.8259 | 18.9464 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
