---
library_name: transformers
license: mit
base_model: FacebookAI/xlm-roberta-large
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-large-classifier
  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-large-classifier

This model is a fine-tuned version of [FacebookAI/xlm-roberta-large](https://huggingface.co/FacebookAI/xlm-roberta-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3918
- Accuracy: 0.8353
- F1: 0.7325

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:------:|:----:|:---------------:|:--------:|:------:|
| No log        | 0      | 0    | 0.6059          | 0.7106   | 0.1957 |
| No log        | 0.6006 | 188  | 0.4820          | 0.7826   | 0.6    |
| No log        | 1.2013 | 376  | 0.4764          | 0.7858   | 0.5553 |
| 0.5275        | 1.8019 | 564  | 0.5046          | 0.7738   | 0.6519 |
| 0.5275        | 2.4026 | 752  | 0.4234          | 0.8233   | 0.7041 |
| 0.5275        | 3      | 939  | 0.3918          | 0.8353   | 0.7325 |


### Framework versions

- Transformers 4.53.3
- Pytorch 2.6.0+cu124
- Datasets 4.0.0
- Tokenizers 0.21.2