metadata
base_model: luqh/ClinicalT5-base
tags:
- generated_from_trainer
model-index:
- name: medical_jargons_simplifier2
results: []
medical_jargons_simplifier2
This model is a fine-tuned version of luqh/ClinicalT5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8220
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 5
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 10.7846 | 0.3378 | 50 | 6.4430 |
| 4.2345 | 0.6757 | 100 | 1.4337 |
| 1.6372 | 1.0135 | 150 | 0.9226 |
| 1.1813 | 1.3514 | 200 | 0.8504 |
| 1.1087 | 1.6892 | 250 | 0.8220 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1