RAFT-BioT5-Medical-QA_testt
This model is a fine-tuned version of QizhiPei/biot5-plus-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5630
- Rouge1: 11.1448
- Rouge2: 3.564
- Rougel: 8.7117
- Meteor: 5.3064
- Bertscore F1: 75.7991
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: 3e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Meteor | Bertscore F1 |
|---|---|---|---|---|---|---|---|---|
| 3.7491 | 1.0 | 12 | 2.5630 | 11.1448 | 3.564 | 8.7117 | 5.3064 | 75.7991 |
Framework versions
- Transformers 4.55.0
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2
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Model tree for Radhikaaaa/RAFT-BioT5-Medical-QA_testt
Base model
QizhiPei/biot5-plus-base