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: angela_punc_diacritics_eval
+  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. -->
+
+# angela_punc_diacritics_eval
+
+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: 0.4701
+- Precision: 0.3989
+- Recall: 0.1391
+- F1: 0.2063
+- Accuracy: 0.8917
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1546        | 1.0   | 1283 | 0.3076          | 0.3776    | 0.0726 | 0.1217 | 0.8920   |
+| 0.1327        | 2.0   | 2566 | 0.3372          | 0.4254    | 0.0843 | 0.1407 | 0.8932   |
+| 0.1147        | 3.0   | 3849 | 0.3472          | 0.4208    | 0.1170 | 0.1831 | 0.8932   |
+| 0.0934        | 4.0   | 5132 | 0.4240          | 0.4193    | 0.1219 | 0.1889 | 0.8932   |
+| 0.0773        | 5.0   | 6415 | 0.4701          | 0.3989    | 0.1391 | 0.2063 | 0.8917   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3