Model save

README.md

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+---
+base_model: klue/roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- klue
+model-index:
+- name: sts_klue_roberta_large_ep1
+  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. -->
+
+# sts_klue_roberta_large_ep1
+
+This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the klue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4218
+- Mse: 0.4218
+- Mae: 0.4837
+- R2: 0.8068
+
+## 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: 5e-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
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 0.6739        | 1.0   | 183  | 0.4218          | 0.4218 | 0.4837 | 0.8068 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.0
+- Tokenizers 0.13.3