---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-base
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm_roberta_55k_boduoi_test14k
  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_55k_boduoi_test14k

This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9497
- Accuracy: 0.7986
- F1: 0.8478

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine_with_restarts
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.4336        | 1.0   | 1725  | 0.7617          | 0.7120   | 0.7890 |
| 0.3114        | 2.0   | 3450  | 0.6237          | 0.7265   | 0.7992 |
| 0.2616        | 3.0   | 5175  | 0.8613          | 0.7262   | 0.7990 |
| 0.2261        | 4.0   | 6900  | 0.5566          | 0.8171   | 0.8593 |
| 0.192         | 5.0   | 8625  | 0.7264          | 0.7755   | 0.8324 |
| 0.1652        | 6.0   | 10350 | 0.8042          | 0.7759   | 0.8328 |
| 0.1397        | 7.0   | 12075 | 0.8167          | 0.7908   | 0.8427 |
| 0.1241        | 8.0   | 13800 | 0.8630          | 0.8036   | 0.8509 |
| 0.1153        | 9.0   | 15525 | 0.9335          | 0.8016   | 0.8497 |
| 0.1141        | 10.0  | 17250 | 0.9497          | 0.7986   | 0.8478 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1