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: flipped_5e-5_igbo
+  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. -->
+
+# flipped_5e-5_igbo
+
+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: 0.3125
+- Precision: 0.3694
+- Recall: 0.1838
+- F1: 0.2455
+- Accuracy: 0.8977
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.2975        | 1.0   | 1202 | 0.2816          | 0.2750    | 0.0578 | 0.0955 | 0.8990   |
+| 0.2743        | 2.0   | 2404 | 0.2823          | 0.3149    | 0.0703 | 0.1149 | 0.9010   |
+| 0.2415        | 3.0   | 3606 | 0.2842          | 0.3713    | 0.1375 | 0.2007 | 0.9007   |
+| 0.2136        | 4.0   | 4808 | 0.3080          | 0.3688    | 0.1450 | 0.2082 | 0.8999   |
+| 0.1904        | 5.0   | 6010 | 0.3125          | 0.3694    | 0.1838 | 0.2455 | 0.8977   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3