flan-t5-small-finetuned-medicine
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: 2.9066
- Rouge1: 9.3596
- Rouge2: 2.6144
- Rougel: 8.94
- Rougelsum: 8.94
Model description
More information needed
Intended uses & limitations
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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 |
|---|---|---|---|---|---|---|---|
| 3.1417 | 1.0 | 5 | 2.9168 | 9.5238 | 2.6144 | 8.9947 | 8.9947 |
| 3.1069 | 2.0 | 10 | 2.9066 | 9.3596 | 2.6144 | 8.94 | 8.94 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
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Base model
google/flan-t5-small