metadata
library_name: transformers
base_model: ELRs/Ewondo_xlm-roberta-large
tags:
- generated_from_trainer
model-index:
- name: ewondo-french-model_xlm-roberta-large
results: []
ewondo-french-model_xlm-roberta-large
This model is a fine-tuned version of 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