flan-t5-small-finetune-medicine-v3
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: 2.8757
- Rouge1: 15.991
- Rouge2: 5.2469
- Rougel: 14.6278
- Rougelsum: 14.7076
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 5 | 2.9996 | 12.4808 | 4.9536 | 12.3712 | 12.2123 |
| No log | 2.0 | 10 | 2.9550 | 13.6471 | 4.9536 | 13.5051 | 13.5488 |
| No log | 3.0 | 15 | 2.9224 | 13.8077 | 5.117 | 13.7274 | 13.753 |
| No log | 4.0 | 20 | 2.9050 | 13.7861 | 5.117 | 13.6982 | 13.7001 |
| No log | 5.0 | 25 | 2.8920 | 14.668 | 5.117 | 14.4497 | 14.4115 |
| No log | 6.0 | 30 | 2.8820 | 14.9451 | 5.2469 | 14.5797 | 14.6308 |
| No log | 7.0 | 35 | 2.8770 | 15.991 | 5.2469 | 14.6278 | 14.7076 |
| No log | 8.0 | 40 | 2.8757 | 15.991 | 5.2469 | 14.6278 | 14.7076 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3