update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- klue
+metrics:
+- f1
+model-index:
+- name: kobert-finetuned-klue-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: klue
+      type: klue
+      config: ner
+      split: validation
+      args: ner
+    metrics:
+    - name: F1
+      type: f1
+      value: 0.26395413647583404
+---
+
+<!-- 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. -->
+
+# kobert-finetuned-klue-ner
+
+This model is a fine-tuned version of [monologg/koelectra-base-v3-discriminator](https://huggingface.co/monologg/koelectra-base-v3-discriminator) on the klue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4238
+- F1: 0.2640
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.5975        | 1.0   | 1313 | 0.5314          | 0.1794 |
+| 0.4068        | 2.0   | 2626 | 0.4611          | 0.2331 |
+| 0.3366        | 3.0   | 3939 | 0.4264          | 0.2598 |
+| 0.2933        | 4.0   | 5252 | 0.4238          | 0.2640 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3