| | --- |
| | license: mit |
| | base_model: Davlan/afro-xlmr-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: only_english |
| | 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. --> |
| |
|
| | # only_english |
| | |
| | This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1647 |
| | - Precision: 0.6988 |
| | - Recall: 0.5376 |
| | - F1: 0.6077 |
| | - Accuracy: 0.9561 |
| | |
| | ## 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: 16 |
| | - 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 | Precision | Recall | F1 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | 0.1733 | 1.0 | 1312 | 0.1466 | 0.684 | 0.4374 | 0.5336 | 0.9514 | |
| | | 0.1394 | 2.0 | 2624 | 0.1439 | 0.7089 | 0.4819 | 0.5737 | 0.9546 | |
| | | 0.1123 | 3.0 | 3936 | 0.1417 | 0.6983 | 0.5299 | 0.6026 | 0.9556 | |
| | | 0.0899 | 4.0 | 5248 | 0.1522 | 0.7075 | 0.5303 | 0.6062 | 0.9563 | |
| | | 0.0744 | 5.0 | 6560 | 0.1647 | 0.6988 | 0.5376 | 0.6077 | 0.9561 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.0 |
| | - Tokenizers 0.13.3 |
| | |
