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
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: beomi/kcbert-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: DLthon_BERT_3
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# DLthon_BERT_3
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This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0562
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- F1: 0.9905
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| No log | 1.0 | 178 | 0.3384 | 0.8918 |
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| No log | 2.0 | 356 | 0.2190 | 0.9425 |
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| 0.4141 | 3.0 | 534 | 0.0874 | 0.9748 |
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| 0.4141 | 4.0 | 712 | 0.0634 | 0.9858 |
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| 0.4141 | 5.0 | 890 | 0.0562 | 0.9905 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.1+cu121
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- Tokenizers 0.19.1
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