| | --- |
| | license: mit |
| | base_model: Davlan/afro-xlmr-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - precision |
| | - recall |
| | - f1 |
| | - accuracy |
| | model-index: |
| | - name: no_repeats |
| | 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. --> |
| |
|
| | # no_repeats |
| | |
| | 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: 0.1658 |
| | - Precision: 0.7350 |
| | - Recall: 0.5701 |
| | - F1: 0.6421 |
| | - Accuracy: 0.9596 |
| | |
| | ## 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 | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | | 0.1578 | 1.0 | 1283 | 0.1410 | 0.7141 | 0.4748 | 0.5704 | 0.9540 | |
| | | 0.1189 | 2.0 | 2566 | 0.1336 | 0.7023 | 0.5501 | 0.6170 | 0.9568 | |
| | | 0.0929 | 3.0 | 3849 | 0.1406 | 0.7380 | 0.5433 | 0.6259 | 0.9584 | |
| | | 0.0725 | 4.0 | 5132 | 0.1512 | 0.7283 | 0.5751 | 0.6427 | 0.9591 | |
| | | 0.057 | 5.0 | 6415 | 0.1658 | 0.7350 | 0.5701 | 0.6421 | 0.9596 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.0 |
| | - Tokenizers 0.13.3 |
| | |
