---
library_name: transformers
base_model: ELRs/Ewondo_xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: ewondo-french-model_xlm-roberta-large
  results: []
---

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# ewondo-french-model_xlm-roberta-large

This model is a fine-tuned version of [ELRs/Ewondo_xlm-roberta-large](https://huggingface.co/ELRs/Ewondo_xlm-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9207

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.706         | 1.0   | 875  | 2.0535          |
| 2.0746        | 2.0   | 1750 | 1.9480          |
| 1.9551        | 3.0   | 2625 | 1.9207          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0