---
license: mit
base_model: xlm-roberta-base
tags:
- generated_from_trainer
datasets:
- quoref
model-index:
- name: xlmr-quoref
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# xlmr-quoref

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the quoref dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7996

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.1965        | 1.0   | 1213  | 1.9230          |
| 1.5621        | 2.0   | 2426  | 1.6899          |
| 1.1679        | 3.0   | 3639  | 1.7055          |
| 0.8913        | 4.0   | 4852  | 1.7383          |
| 0.7196        | 5.0   | 6065  | 1.9683          |
| 0.5502        | 6.0   | 7278  | 2.0790          |
| 0.4331        | 7.0   | 8491  | 2.2852          |
| 0.3404        | 8.0   | 9704  | 2.4147          |
| 0.2903        | 9.0   | 10917 | 2.7734          |
| 0.2397        | 10.0  | 12130 | 2.7996          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1