---
base_model: luqh/ClinicalT5-base
tags:
- generated_from_trainer
model-index:
- name: medical_jargons_simplifier2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# medical_jargons_simplifier2

This model is a fine-tuned version of [luqh/ClinicalT5-base](https://huggingface.co/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