---
license: cc-by-nc-4.0
base_model: FacebookAI/xlm-mlm-enfr-1024
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-tune
  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-tune

This model is a fine-tuned version of [FacebookAI/xlm-mlm-enfr-1024](https://huggingface.co/FacebookAI/xlm-mlm-enfr-1024) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8696
- Accuracy: 0.6714
- F1: 0.6569

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.7721        | 1.0   | 53   | 0.8696          | 0.6714   | 0.6569 |
| 0.6763        | 2.0   | 106  | 0.9178          | 0.7071   | 0.6996 |
| 0.5875        | 3.0   | 159  | 1.2187          | 0.6214   | 0.6316 |
| 0.4608        | 4.0   | 212  | 0.9915          | 0.7071   | 0.7201 |
| 0.5276        | 5.0   | 265  | 1.4392          | 0.55     | 0.5780 |


### Framework versions

- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1