update model card README.md

README.md

@@ -0,0 +1,70 @@
+---
+license: mit
+base_model: Davlan/afro-xlmr-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: angela_diacritics_shuffle_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_diacritics_shuffle_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: 0.3073
+- Precision: 0.4269
+- Recall: 0.1883
+- F1: 0.2613
+- Accuracy: 0.9206
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2305        | 1.0   | 1283 | 0.2759          | 0.3933    | 0.0827 | 0.1367 | 0.9186   |
+| 0.2064        | 2.0   | 2566 | 0.2674          | 0.4265    | 0.1068 | 0.1709 | 0.9197   |
+| 0.1856        | 3.0   | 3849 | 0.2924          | 0.4325    | 0.1405 | 0.2121 | 0.9201   |
+| 0.1688        | 4.0   | 5132 | 0.2899          | 0.4235    | 0.1802 | 0.2528 | 0.9201   |
+| 0.1449        | 5.0   | 6415 | 0.3073          | 0.4269    | 0.1883 | 0.2613 | 0.9206   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.3
+- Tokenizers 0.13.3