update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- klue
+metrics:
+- pearsonr
+model-index:
+- name: bert-base-finetuned-sts
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: klue
+      type: klue
+      args: sts
+    metrics:
+    - name: Pearsonr
+      type: pearsonr
+      value: 0.8722017849942011
+---
+
+<!-- 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-sts
+
+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: 0.4274
+- Pearsonr: 0.8722
+
+## 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Pearsonr |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 365  | 0.5106          | 0.8429   |
+| 0.1092        | 2.0   | 730  | 0.5466          | 0.8497   |
+| 0.0958        | 3.0   | 1095 | 0.4123          | 0.8680   |
+| 0.0958        | 4.0   | 1460 | 0.4336          | 0.8719   |
+| 0.0661        | 5.0   | 1825 | 0.4274          | 0.8722   |
+
+
+### Framework versions
+
+- Transformers 4.17.0
+- Pytorch 1.10.0+cu111
+- Datasets 2.0.0
+- Tokenizers 0.11.6