---
tags:
- generated_from_trainer
base_model: makhataei/qa-persian-xlm-roberta-large
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-08
- 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.2629        | 1.0   | 202  | 5.7315          |
| 5.2091        | 2.0   | 404  | 5.7315          |
| 5.3101        | 3.0   | 606  | 5.7315          |
| 5.4071        | 4.0   | 808  | 5.7315          |
| 5.4292        | 5.0   | 1010 | 5.7315          |
| 5.4351        | 6.0   | 1212 | 5.7315          |
| 5.4477        | 7.0   | 1414 | 5.7315          |
| 5.436         | 8.0   | 1616 | 5.7315          |
| 5.4652        | 9.0   | 1818 | 5.7315          |
| 5.4464        | 10.0  | 2020 | 5.7315          |
| 5.435         | 11.0  | 2222 | 5.7315          |
| 5.4423        | 12.0  | 2424 | 5.7315          |
| 5.451         | 13.0  | 2626 | 5.7315          |
| 5.4455        | 14.0  | 2828 | 5.7315          |
| 5.4703        | 15.0  | 3030 | 5.7315          |
| 5.4351        | 16.0  | 3232 | 5.7315          |
| 5.4895        | 17.0  | 3434 | 5.7315          |
| 5.4439        | 18.0  | 3636 | 5.7315          |
| 5.4662        | 19.0  | 3838 | 5.7315          |
| 5.454         | 20.0  | 4040 | 5.7315          |
| 5.4645        | 21.0  | 4242 | 5.7315          |
| 5.4453        | 22.0  | 4444 | 5.7315          |
| 5.4659        | 23.0  | 4646 | 5.7315          |
| 5.4628        | 24.0  | 4848 | 5.7315          |
| 5.4349        | 25.0  | 5050 | 5.7315          |
| 5.4345        | 26.0  | 5252 | 5.7315          |
| 5.4228        | 27.0  | 5454 | 5.7315          |
| 5.4492        | 28.0  | 5656 | 5.7315          |
| 5.4358        | 29.0  | 5858 | 5.7315          |
| 5.461         | 30.0  | 6060 | 5.7315          |
| 5.4304        | 31.0  | 6262 | 5.7315          |
| 5.4376        | 32.0  | 6464 | 5.7315          |
| 5.4526        | 33.0  | 6666 | 5.7315          |
| 5.4687        | 34.0  | 6868 | 5.7315          |
| 5.44          | 35.0  | 7070 | 5.7315          |
| 5.4491        | 36.0  | 7272 | 5.7315          |
| 5.4379        | 37.0  | 7474 | 5.7315          |
| 5.4596        | 38.0  | 7676 | 5.7315          |
| 5.4663        | 39.0  | 7878 | 5.7315          |
| 5.4487        | 40.0  | 8080 | 5.7315          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2