---
license: mit
tags:
- generated_from_trainer
model-index:
- name: vipubmed-deberta-xsmall-finetuned-squad
  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. -->

# vipubmed-deberta-xsmall-finetuned-squad

This model is a fine-tuned version of [manhtt-079/vipubmed-deberta-xsmall](https://huggingface.co/manhtt-079/vipubmed-deberta-xsmall) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6031

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.8822        | 1.0   | 758  | 4.7088          |
| 4.3213        | 2.0   | 1516 | 4.2572          |
| 4.2643        | 3.0   | 2274 | 4.1618          |
| 4.1552        | 4.0   | 3032 | 3.9758          |
| 3.9337        | 5.0   | 3790 | 3.6565          |
| 3.6184        | 6.0   | 4548 | 3.6215          |
| 3.5265        | 7.0   | 5306 | 3.6304          |
| 3.4496        | 8.0   | 6064 | 3.5497          |
| 3.3927        | 9.0   | 6822 | 3.5982          |
| 3.3628        | 10.0  | 7580 | 3.6031          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3