update model card README.md

README.md

@@ -0,0 +1,75 @@
+---
+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: 0.9000373376026184
+---
+
+<!-- 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: 0.4582
+- Pearsonr: 0.9000
+
+## 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: 64
+- eval_batch_size: 64
+- 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   | 183  | 0.5329          | 0.8827   |
+| No log        | 2.0   | 366  | 0.4549          | 0.8937   |
+| 0.2316        | 3.0   | 549  | 0.4656          | 0.8959   |
+| 0.2316        | 4.0   | 732  | 0.4651          | 0.8990   |
+| 0.2316        | 5.0   | 915  | 0.4582          | 0.9000   |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.12.0+cu113
+- Datasets 2.3.2
+- Tokenizers 0.12.1