update model card README.md

README.md

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 ---
-license: mit
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+datasets:
+- nsmc
+model-index:
+- name: klue-bert-finetuned-nsmc
+  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. -->
+
+# klue-bert-finetuned-nsmc
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the nsmc dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.2402
+- eval_accuracy: 0.9029
+- eval_f1: 0.9029
+- eval_runtime: 343.6707
+- eval_samples_per_second: 145.488
+- eval_steps_per_second: 4.548
+- epoch: 1.0
+- step: 4688
+
+## 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
+
+### Framework versions
+
+- Transformers 4.13.0
+- Pytorch 1.13.1+cu116
+- Datasets 2.8.0
+- Tokenizers 0.10.3