---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-r-qa-squad-2.0-small-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. -->

# xlm-r-qa-squad-2.0-small-large

This model is a fine-tuned version of [mrizalf7/xlm-r-qa-squad-2.0](https://huggingface.co/mrizalf7/xlm-r-qa-squad-2.0) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1102

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.905         | 1.0   | 5437 | 2.1102          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3