---
license: mit
tags:
- generated_from_trainer
model-index:
- name: xlm-roberta-base-xlmberttest
  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-roberta-base-xlmberttest

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7300

## 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-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9566        | 1.0   | 282  | 0.8288          |
| 0.8483        | 2.0   | 564  | 0.7726          |
| 0.8033        | 3.0   | 846  | 0.7617          |
| 0.7691        | 4.0   | 1128 | 0.7387          |
| 0.7464        | 5.0   | 1410 | 0.7300          |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.11.0+cu113
- Datasets 1.10.3.dev0
- Tokenizers 0.12.1