End of training

README.md

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+---
+license: cc-by-sa-4.0
+base_model: klue/bert-base
+tags:
+- generated_from_trainer
+metrics:
+- pearsonr
+model-index:
+- name: bert-base-finetuned-sts
+  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. -->
+
+# bert-base-finetuned-sts
+
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4525
+- Pearsonr: 0.8934
+
+## 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: 384
+- eval_batch_size: 384
+- 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   | 31   | 0.5396          | 0.8764   |
+| No log        | 2.0   | 62   | 0.5118          | 0.8854   |
+| No log        | 3.0   | 93   | 0.4525          | 0.8934   |
+| No log        | 4.0   | 124  | 0.5232          | 0.8902   |
+| No log        | 5.0   | 155  | 0.5057          | 0.8919   |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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