---
license: cc-by-4.0
base_model: deepset/minilm-uncased-squad2
tags:
- generated_from_trainer
datasets:
- squad_kor_v1
model-index:
- name: qa_model
  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. -->

# qa_model

This model is a fine-tuned version of [deepset/minilm-uncased-squad2](https://huggingface.co/deepset/minilm-uncased-squad2) on the squad_kor_v1 dataset.
It achieves the following results on the evaluation set:
- Loss: 3.2803

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 25   | 3.8476          |
| No log        | 2.0   | 50   | 3.3495          |
| No log        | 3.0   | 75   | 3.2032          |
| No log        | 4.0   | 100  | 3.3601          |
| No log        | 5.0   | 125  | 3.2218          |
| No log        | 6.0   | 150  | 3.3264          |
| No log        | 7.0   | 175  | 3.3053          |
| No log        | 8.0   | 200  | 3.2801          |
| No log        | 9.0   | 225  | 3.4267          |
| No log        | 10.0  | 250  | 3.2803          |


### Framework versions

- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3