metadata
library_name: transformers
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
model-index:
- name: results
results: []
datasets:
- Malikeh1375/medical-question-answering-datasets
pipeline_tag: question-answering
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