Model save

README.md

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+---
+base_model: klue/roberta-large
+tags:
+- generated_from_trainer
+datasets:
+- klue
+model-index:
+- name: sts_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
+  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_roberta-large_lr1e-05_wd1e-03_ep3_ckpt
+
+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: 0.4129
+- Mse: 0.4129
+- Mae: 0.4750
+- R2: 0.8109
+
+## 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: 1e-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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Mse    | Mae    | R2     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
+| 1.3435        | 1.0   | 183  | 0.3891          | 0.3891 | 0.4693 | 0.8218 |
+| 0.1449        | 2.0   | 366  | 0.5301          | 0.5301 | 0.5456 | 0.7572 |
+| 0.1059        | 3.0   | 549  | 0.4129          | 0.4129 | 0.4750 | 0.8109 |
+
+
+### Framework versions
+
+- Transformers 4.33.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.13.0
+- Tokenizers 0.13.3