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

This model is a fine-tuned version of [makhataei/qa-persian-xlmr-large](https://huggingface.co/makhataei/qa-persian-xlmr-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.0366

## 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: 5e-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.0175        | 1.0   | 202  | 1.5773          |
| 1.17          | 2.0   | 404  | 1.7608          |
| 0.6861        | 3.0   | 606  | 2.2780          |
| 0.4457        | 4.0   | 808  | 2.8859          |
| 0.2626        | 5.0   | 1010 | 3.9207          |
| 0.1862        | 6.0   | 1212 | 4.6119          |
| 0.1264        | 7.0   | 1414 | 4.8694          |
| 0.0786        | 8.0   | 1616 | 4.8824          |
| 0.0566        | 9.0   | 1818 | 4.9686          |
| 0.0571        | 10.0  | 2020 | 5.0366          |


### Framework versions

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