README.md

---
library_name: transformers
license: mit
base_model: timpal0l/mdeberta-v3-base-squad2
tags:
- generated_from_trainer
model-index:
- name: my_awesome_qa_model_vifactcheck
  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. -->

# my_awesome_qa_model_vifactcheck

This model is a fine-tuned version of [timpal0l/mdeberta-v3-base-squad2](https://huggingface.co/timpal0l/mdeberta-v3-base-squad2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0136

## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.3886        | 1.0   | 1037  | 0.2482          |
| 0.2857        | 2.0   | 2074  | 0.2373          |
| 0.2217        | 3.0   | 3111  | 0.1258          |
| 0.1717        | 4.0   | 4148  | 0.0892          |
| 0.1426        | 5.0   | 5185  | 0.0606          |
| 0.0924        | 6.0   | 6222  | 0.0524          |
| 0.071         | 7.0   | 7259  | 0.0270          |
| 0.0514        | 8.0   | 8296  | 0.0198          |
| 0.0348        | 9.0   | 9333  | 0.0148          |
| 0.024         | 10.0  | 10370 | 0.0136          |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2