update model card README.md

README.md

@@ -0,0 +1,62 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: kcbert-base-finetuned-code-classification-mid
+  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. -->
+
+# kcbert-base-finetuned-code-classification-mid
+
+This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2025
+- Accuracy: 0.9485
+- F1: 0.9474
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.2959        | 1.0   | 4931 | 0.2158          | 0.9442   | 0.9428 |
+| 0.1656        | 2.0   | 9862 | 0.2025          | 0.9485   | 0.9474 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.1.0+cu118
+- Datasets 2.15.0
+- Tokenizers 0.13.3