update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- yelp_review_full
+metrics:
+- accuracy
+model-index:
+- name: Bert_Classifier
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: yelp_review_full
+      type: yelp_review_full
+      config: yelp_review_full
+      split: train
+      args: yelp_review_full
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.634
+---
+
+<!-- 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. -->
+
+# Bert_Classifier
+
+This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0546
+- Accuracy: 0.634
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.9528        | 1.0   | 2500 | 0.9097          | 0.5985   |
+| 0.7607        | 2.0   | 5000 | 0.8969          | 0.627    |
+| 0.5039        | 3.0   | 7500 | 1.0546          | 0.634    |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1