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

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: beomi/kcbert-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: DLthon_BERT_2
+  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. -->
+
+# DLthon_BERT_2
+
+This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0270
+- F1: 0.9939
+
+## 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: 0.0001
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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   | 140  | 0.2067          | 0.9317 |
+| No log        | 2.0   | 280  | 0.1499          | 0.9595 |
+| No log        | 3.0   | 420  | 0.0540          | 0.9839 |
+| 0.2578        | 4.0   | 560  | 0.0314          | 0.9939 |
+| 0.2578        | 5.0   | 700  | 0.0270          | 0.9939 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Tokenizers 0.19.1

runs/Oct07_06-54-07_e1ce6dd29f58/events.out.tfevents.1728284049.e1ce6dd29f58.550.0

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