metadata
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: []
xlm-tune
This model is a fine-tuned version of 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