metadata
license: mit
base_model: papluca/xlm-roberta-base-language-detection
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: xlm-roberta-base-language-detection
results: []
xlm-roberta-base-language-detection
This model is a fine-tuned version of papluca/xlm-roberta-base-language-detection on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0203
- Accuracy: 0.9961
- F1: 0.9961
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: 64
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.193 | 1.0 | 1094 | 0.0216 | 0.9959 | 0.9959 |
| 0.0094 | 2.0 | 2188 | 0.0207 | 0.9961 | 0.9961 |
| 0.0036 | 3.0 | 3282 | 0.0203 | 0.9961 | 0.9961 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0