repository_id
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: 1.7407
- Rouge1: 0.3886
- Rouge2: 0.1721
- Rougel: 0.2778
- Rougelsum: 0.2775
- Gen Len: 79.7623
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: 2e-05
- train_batch_size: 30
- eval_batch_size: 30
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9778 | 1.0 | 424 | 1.7454 | 0.3867 | 0.1701 | 0.2765 | 0.2764 | 78.7952 |
| 1.9569 | 2.0 | 848 | 1.7433 | 0.3896 | 0.1732 | 0.2781 | 0.278 | 80.2033 |
| 1.9548 | 3.0 | 1272 | 1.7400 | 0.3868 | 0.1708 | 0.2762 | 0.276 | 80.0837 |
| 1.9629 | 4.0 | 1696 | 1.7407 | 0.3886 | 0.1721 | 0.2778 | 0.2775 | 79.7623 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2
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Base model
google/flan-t5-small