results

This model is a fine-tuned version of t5-small on medical-question-answering-datasets. It achieves the following results on the evaluation set:

• Loss: 0.6188

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
1.4575	1.0	625	0.6556
0.7149	2.0	1250	0.6313
0.6919	3.0	1875	0.6218
0.6764	4.0	2500	0.6188

Framework versions

• Transformers 4.44.2
• Pytorch 2.4.1+cu121
• Datasets 3.0.0
• Tokenizers 0.19.1