update model card README.md

README.md

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+---
+license: mit
+base_model: Davlan/afro-xlmr-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: no-delete_5e-5_hausa
+  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-delete_5e-5_hausa
+
+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: 0.1716
+- Precision: 0.4009
+- Recall: 0.2840
+- F1: 0.3325
+- Accuracy: 0.9559
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1421        | 1.0   | 1283 | 0.1347          | 0.4610    | 0.1779 | 0.2567 | 0.9594   |
+| 0.1234        | 2.0   | 2566 | 0.1332          | 0.4847    | 0.1920 | 0.2750 | 0.9603   |
+| 0.1041        | 3.0   | 3849 | 0.1412          | 0.4581    | 0.2305 | 0.3067 | 0.9595   |
+| 0.0822        | 4.0   | 5132 | 0.1562          | 0.3979    | 0.2752 | 0.3253 | 0.9559   |
+| 0.0664        | 5.0   | 6415 | 0.1716          | 0.4009    | 0.2840 | 0.3325 | 0.9559   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3