t5-s20
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: 2.5297
- Rouge1: 28.8568
- Rouge2: 13.0608
- Rougel: 24.45
- Rougelsum: 24.5154
- Gen Len: 18.464
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: 1e-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 |
|---|---|---|---|---|---|---|---|---|
| 3.0417 | 1.0 | 625 | 2.5297 | 28.8568 | 13.0608 | 24.45 | 24.5154 | 18.464 |
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