| --- |
| license: mit |
| base_model: Davlan/afro-xlmr-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - precision |
| - recall |
| - f1 |
| - accuracy |
| model-index: |
| - name: aligned_source_5e-5 |
| 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. --> |
|
|
| # aligned_source_5e-5 |
|
|
| 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: 0.1076 |
| - Precision: 0.3551 |
| - Recall: 0.2680 |
| - F1: 0.3054 |
| - Accuracy: 0.9711 |
|
|
| ## Model description |
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| More information needed |
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|
| ## Intended uses & limitations |
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| More information needed |
|
|
| ## Training and evaluation data |
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| More information needed |
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|
| ## Training procedure |
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| ### Training hyperparameters |
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|
| 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 | |
| |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
| | 0.1109 | 1.0 | 1016 | 0.0905 | 0.3897 | 0.0842 | 0.1385 | 0.9745 | |
| | 0.0994 | 2.0 | 2032 | 0.0896 | 0.3712 | 0.2191 | 0.2756 | 0.9729 | |
| | 0.0861 | 3.0 | 3048 | 0.0936 | 0.3626 | 0.2567 | 0.3006 | 0.9718 | |
| | 0.0698 | 4.0 | 4064 | 0.0989 | 0.3665 | 0.2639 | 0.3068 | 0.9718 | |
| | 0.0594 | 5.0 | 5080 | 0.1076 | 0.3551 | 0.2680 | 0.3054 | 0.9711 | |
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| ### Framework versions |
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|
| - Transformers 4.31.0 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.3 |
| - Tokenizers 0.13.3 |
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|
