update model card README.md

README.md

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+---
+license: cc-by-sa-4.0
+base_model: klue/bert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: fine-tuned-KoreanIndoNLI-KorNLI-with-bert-base
+  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. -->
+
+# fine-tuned-KoreanIndoNLI-KorNLI-with-bert-base
+
+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: 0.4897
+- Accuracy: 0.8032
+- F1: 0.8034
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
+| 0.5126        | 0.5   | 3654  | 0.5759          | 0.7522   | 0.7552 |
+| 0.4707        | 1.0   | 7308  | 0.5278          | 0.7828   | 0.7845 |
+| 0.4301        | 1.5   | 10962 | 0.4908          | 0.8006   | 0.8010 |
+| 0.4223        | 2.0   | 14616 | 0.4839          | 0.8051   | 0.8059 |
+| 0.3922        | 2.5   | 18270 | 0.4916          | 0.8038   | 0.8051 |
+| 0.3923        | 3.0   | 21924 | 0.4832          | 0.8051   | 0.8052 |
+| 0.339         | 3.5   | 25578 | 0.4897          | 0.8032   | 0.8034 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 1.13.1
+- Datasets 2.14.4
+- Tokenizers 0.13.3