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flan-t5-small-finetune-medicine-v2
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: 3.0323
- Rouge1: 11.2462
- Rouge2: 4.9536
- Rougel: 11.1634
- Rougelsum: 11.0579
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: 5.6e-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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 3.0553 | 10.7238 | 4.9536 | 10.5795 | 10.5795 |
| No log | 2.0 | 10 | 3.0323 | 11.2462 | 4.9536 | 11.1634 | 11.0579 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
