update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- klue
+metrics:
+- f1
+model-index:
+- name: klue_ynat_roberta_base_model
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: klue
+      type: klue
+      config: ynat
+      split: validation
+      args: ynat
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.872014500465787
+---
+
+<!-- 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. -->
+
+# klue_ynat_roberta_base_model
+
+This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on the klue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3747
+- F1: 0.8720
+
+## 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: 256
+- eval_batch_size: 256
+- 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| No log        | 1.0   | 179  | 0.4838          | 0.8444 |
+| No log        | 2.0   | 358  | 0.3848          | 0.8659 |
+| 0.4203        | 3.0   | 537  | 0.3778          | 0.8690 |
+| 0.4203        | 4.0   | 716  | 0.3762          | 0.8702 |
+| 0.4203        | 5.0   | 895  | 0.3747          | 0.8720 |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3