flan-t5-large-clara-med
This model is a fine-tuned version of google/flan-t5-large on the CLARA-MeD dataset. It achieves the following results on the evaluation set:
- Loss: 1.0898
- Rouge1: 28.9888
- Rouge2: 16.3801
- Rougel: 27.4186
- Rougelsum: 27.4043
- sari: 39.1731
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 380 | 1.1948 | 28.2861 | 15.6461 | 26.7126 | 26.7389 |
| No log | 2.0 | 760 | 1.1361 | 28.3528 | 15.8519 | 26.8151 | 26.8069 |
| 1.3561 | 3.0 | 1140 | 1.1051 | 29.6216 | 16.8227 | 28.0662 | 28.0613 |
| 1.3561 | 4.0 | 1520 | 1.0915 | 29.3603 | 16.5008 | 27.7915 | 27.7761 |
| 1.0939 | 5.0 | 1900 | 1.0898 | 28.9888 | 16.3801 | 27.4186 | 27.4043 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0
- Datasets 2.8.0
- Tokenizers 0.12.1
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