| | --- |
| | license: mit |
| | base_model: FacebookAI/xlm-roberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: language_detector |
| | 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. --> |
| |
|
| | # language_detector |
| | |
| | This model is a fine-tuned version of [FacebookAI/xlm-roberta-base](https://huggingface.co/FacebookAI/xlm-roberta-base) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0019 |
| | - Accuracy: 0.9998 |
| | - F1 Macro: 0.9994 |
| | - Precision Macro: 0.9994 |
| | - Recall Macro: 0.9994 |
| | |
| | ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Macro | Precision Macro | Recall Macro | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:|:--------:|:---------------:|:------------:| |
| | | 0.0026 | 1.0 | 9188 | 0.0044 | 0.9995 | 0.9986 | 0.9993 | 0.9979 | |
| | | 0.0041 | 2.0 | 18376 | 0.0094 | 0.9990 | 0.9970 | 0.9946 | 0.9994 | |
| | | 0.0001 | 3.0 | 27564 | 0.0050 | 0.9993 | 0.9981 | 0.9970 | 0.9992 | |
| | | 0.0056 | 4.0 | 36752 | 0.0037 | 0.9995 | 0.9986 | 0.9980 | 0.9993 | |
| | | 0.0 | 5.0 | 45940 | 0.0019 | 0.9998 | 0.9994 | 0.9994 | 0.9994 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.42.3 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| | |
