t5-s19
This model is a fine-tuned version of Falconsai/medical_summarization on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.4137
- Rouge1: 33.1554
- Rouge2: 15.9465
- Rougel: 28.0028
- Rougelsum: 28.0647
- Gen Len: 17.3715
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: 16
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.8319 | 1.0 | 625 | 2.4137 | 33.1554 | 15.9465 | 28.0028 | 28.0647 | 17.3715 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Falconsai/medical_summarization