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--- |
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license: mit |
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base_model: Davlan/afro-xlmr-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- precision |
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- recall |
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- f1 |
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- accuracy |
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model-index: |
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- name: angela_punc_untranslated_eval |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# angela_punc_untranslated_eval |
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This model is a fine-tuned version of [Davlan/afro-xlmr-base](https://huggingface.co/Davlan/afro-xlmr-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1902 |
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- Precision: 0.3889 |
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- Recall: 0.2568 |
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- F1: 0.3093 |
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- Accuracy: 0.9517 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## 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: |
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- learning_rate: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:| |
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| 0.1524 | 1.0 | 1283 | 0.1547 | 0.4163 | 0.1471 | 0.2174 | 0.9546 | |
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| 0.1295 | 2.0 | 2566 | 0.1518 | 0.4489 | 0.1943 | 0.2712 | 0.9556 | |
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| 0.1113 | 3.0 | 3849 | 0.1614 | 0.4152 | 0.2323 | 0.2979 | 0.9538 | |
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| 0.0896 | 4.0 | 5132 | 0.1784 | 0.4248 | 0.2346 | 0.3023 | 0.9542 | |
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| 0.073 | 5.0 | 6415 | 0.1902 | 0.3889 | 0.2568 | 0.3093 | 0.9517 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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