---
license: mit
tags:
- generated_from_trainer
datasets:
- squad
model-index:
- name: questionansweringmodel
  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. -->

# questionansweringmodel

This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the squad dataset.
It achieves the following results on the evaluation set:
- Loss: 2.9365

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.7398        | 1.0   | 5520  | 0.7216          |
| 0.5263        | 2.0   | 11040 | 0.7513          |
| 0.3828        | 3.0   | 16560 | 0.8821          |
| 0.2411        | 4.0   | 22080 | 1.0024          |
| 0.1549        | 5.0   | 27600 | 1.3959          |
| 0.0996        | 6.0   | 33120 | 1.7559          |
| 0.0594        | 7.0   | 38640 | 2.0031          |
| 0.0393        | 8.0   | 44160 | 2.3654          |
| 0.0326        | 9.0   | 49680 | 2.7383          |
| 0.0162        | 10.0  | 55200 | 2.9365          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.11.0+cu113
- Datasets 2.9.0
- Tokenizers 0.13.2