update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: afro-xlmr-base-hausa-seed-30
+  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. -->
+
+# afro-xlmr-base-hausa-seed-30
+
+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: 0.1635
+- Precision: 0.7407
+- Recall: 0.5630
+- F1: 0.6398
+- Accuracy: 0.9599
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1599        | 1.0   | 1312 | 0.1431          | 0.7178    | 0.4516 | 0.5544 | 0.9536   |
+| 0.1198        | 2.0   | 2624 | 0.1364          | 0.7155    | 0.5470 | 0.6200 | 0.9581   |
+| 0.0932        | 3.0   | 3936 | 0.1381          | 0.7165    | 0.5708 | 0.6354 | 0.9588   |
+| 0.0705        | 4.0   | 5248 | 0.1564          | 0.7529    | 0.5461 | 0.6330 | 0.9600   |
+| 0.0559        | 5.0   | 6560 | 0.1635          | 0.7407    | 0.5630 | 0.6398 | 0.9599   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3