update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Religion-Classification
+  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. -->
+
+# Religion-Classification
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0924
+- Accuracy: 0.9879
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- 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 | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.1027        | 1.0   | 3753  | 0.0862          | 0.9801   |
+| 0.0599        | 2.0   | 7506  | 0.0714          | 0.9842   |
+| 0.0232        | 3.0   | 11259 | 0.0732          | 0.9865   |
+| 0.0062        | 4.0   | 15012 | 0.0874          | 0.9881   |
+| 0.0032        | 5.0   | 18765 | 0.0924          | 0.9879   |
+
+
+### Framework versions
+
+- Transformers 4.14.1
+- Pytorch 1.12.0
+- Datasets 2.9.0
+- Tokenizers 0.10.3