| license: mit | |
| base_model: Davlan/afro-xlmr-base | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - precision | |
| - recall | |
| - f1 | |
| - accuracy | |
| model-index: | |
| - name: no-deletion-3 | |
| 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-deletion-3 | |
| 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: 0.1208 | |
| - Precision: 0.7219 | |
| - Recall: 0.5650 | |
| - F1: 0.6339 | |
| - Accuracy: 0.9636 | |
| ## 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: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| | |
| | 0.1473 | 1.0 | 1312 | 0.1226 | 0.6686 | 0.5042 | 0.5749 | 0.9577 | | |
| | 0.1076 | 2.0 | 2624 | 0.1202 | 0.7201 | 0.5375 | 0.6155 | 0.9622 | | |
| | 0.0816 | 3.0 | 3936 | 0.1208 | 0.7219 | 0.5650 | 0.6339 | 0.9636 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.13.1 | |
| - Tokenizers 0.13.3 | |