update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- klue
+metrics:
+- accuracy
+model-index:
+- name: bert-base-finetuned-nli
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: klue
+      type: klue
+      args: nli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.085
+---
+
+<!-- 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-nli
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the klue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6210
+- Accuracy: 0.085
+
+## 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: 128
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 196  | 0.6210          | 0.085    |
+| No log        | 2.0   | 392  | 0.5421          | 0.0643   |
+| 0.5048        | 3.0   | 588  | 0.5523          | 0.062    |
+| 0.5048        | 4.0   | 784  | 0.5769          | 0.0533   |
+| 0.5048        | 5.0   | 980  | 0.5959          | 0.052    |
+
+
+### Framework versions
+
+- Transformers 4.16.2
+- Pytorch 1.10.0+cu111
+- Datasets 1.18.3
+- Tokenizers 0.11.0