update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: klue-roberta-large-klue-2016klp-ner
+  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. -->
+
+# klue-roberta-large-klue-2016klp-ner
+
+This model is a fine-tuned version of [soddokayo/klue-roberta-large-klue-ner](https://huggingface.co/soddokayo/klue-roberta-large-klue-ner) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0947
+- Precision: 0.7693
+- Recall: 0.8093
+- F1: 0.7888
+- Accuracy: 0.9756
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 366  | 0.0970          | 0.7       | 0.784  | 0.7396 | 0.9685   |
+| 0.0982        | 2.0   | 732  | 0.0853          | 0.7982    | 0.8173 | 0.8076 | 0.9770   |
+| 0.035         | 3.0   | 1098 | 0.0947          | 0.7693    | 0.8093 | 0.7888 | 0.9756   |
+
+
+### Framework versions
+
+- Transformers 4.30.2
+- Pytorch 2.0.1+cpu
+- Datasets 2.12.0
+- Tokenizers 0.11.0