---
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: 2.0986

## 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: 0.0001
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 4.3053        | 1.0   | 845  | 3.3807          |
| 3.0627        | 2.0   | 1690 | 2.7710          |
| 2.2496        | 3.0   | 2535 | 2.6862          |
| 2.0757        | 4.0   | 3380 | 2.5335          |
| 1.8615        | 5.0   | 4225 | 2.2315          |
| 1.7144        | 6.0   | 5070 | 2.3905          |
| 1.6598        | 7.0   | 5915 | 2.1928          |
| 1.5843        | 8.0   | 6760 | 2.1073          |
| 1.5172        | 9.0   | 7605 | 2.0659          |
| 1.4915        | 10.0  | 8450 | 2.0986          |


### Framework versions

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