update model card README.md

README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: bert-base-finetuned-code-classification-major
+  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. -->
+
+# bert-base-finetuned-code-classification-major
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1591
+- Accuracy: 0.9557
+- F1: 0.9555
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.2098        | 1.0   | 4931 | 0.1662          | 0.9522   | 0.9519 |
+| 0.1281        | 2.0   | 9862 | 0.1591          | 0.9557   | 0.9555 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.13.3