---
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: 3.6448

## 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
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1442        | 1.0   | 1622  | 1.9280          |
| 1.5136        | 2.0   | 3244  | 1.5406          |
| 1.1747        | 3.0   | 4866  | 1.5945          |
| 0.9242        | 4.0   | 6488  | 1.6185          |
| 0.7439        | 5.0   | 8110  | 1.7099          |
| 0.5699        | 6.0   | 9732  | 1.8345          |
| 0.4549        | 7.0   | 11354 | 2.0935          |
| 0.3667        | 8.0   | 12976 | 2.2295          |
| 0.2881        | 9.0   | 14598 | 2.4917          |
| 0.2398        | 10.0  | 16220 | 2.7296          |
| 0.1911        | 11.0  | 17842 | 2.9421          |
| 0.1539        | 12.0  | 19464 | 3.1193          |
| 0.1273        | 13.0  | 21086 | 3.3655          |
| 0.1147        | 14.0  | 22708 | 3.4853          |
| 0.0957        | 15.0  | 24330 | 3.6448          |


### Framework versions

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