---
base_model: makhataei/qa-persian-xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: qa-persian-xlm-roberta-large
  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-persian-xlm-roberta-large

This model is a fine-tuned version of [makhataei/qa-persian-xlm-roberta-large](https://huggingface.co./makhataei/qa-persian-xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7315

## 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: 1e-05
- train_batch_size: 14
- eval_batch_size: 14
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2924        | 1.0   | 202  | 5.7315          |
| 5.2476        | 2.0   | 404  | 5.7315          |
| 5.3367        | 3.0   | 606  | 5.7315          |
| 5.4161        | 4.0   | 808  | 5.7315          |
| 5.4338        | 5.0   | 1010 | 5.7315          |
| 5.44          | 6.0   | 1212 | 5.7315          |
| 5.4466        | 7.0   | 1414 | 5.7315          |
| 5.4327        | 8.0   | 1616 | 5.7315          |
| 5.4637        | 9.0   | 1818 | 5.7315          |
| 5.4405        | 10.0  | 2020 | 5.7315          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2