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dudu1021
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my_doccls_korean_model

Text Classification
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bert
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dudu1021 commited on
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Training in progress, epoch 10

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Files changed (3) hide show
  1. README.md +11 -17
  2. model.safetensors +1 -1
  3. training_args.bin +2 -2
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.5503
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- - Accuracy: 0.9003
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  ## Model description
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@@ -38,27 +38,21 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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- - train_batch_size: 256
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- - eval_batch_size: 256
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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: 10
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | 0.3083 | 1.0 | 586 | 0.2537 | 0.8949 |
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- | 0.2202 | 2.0 | 1172 | 0.2416 | 0.9014 |
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- | 0.1689 | 3.0 | 1758 | 0.2655 | 0.9014 |
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- | 0.1299 | 4.0 | 2344 | 0.3172 | 0.8988 |
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- | 0.0947 | 5.0 | 2930 | 0.3631 | 0.8996 |
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- | 0.0541 | 6.0 | 3516 | 0.4151 | 0.8994 |
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- | 0.0429 | 7.0 | 4102 | 0.4674 | 0.8993 |
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- | 0.0361 | 8.0 | 4688 | 0.4972 | 0.8988 |
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- | 0.0314 | 9.0 | 5274 | 0.5360 | 0.8996 |
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- | 0.0266 | 10.0 | 5860 | 0.5503 | 0.9003 |
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  ### Framework versions
 
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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: 0.5416
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+ - Accuracy: 0.8856
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  ## Model description
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  The following hyperparameters were used during training:
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  - learning_rate: 2e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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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: 4
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 0.5834 | 1.0 | 37500 | 0.5604 | 0.8323 |
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+ | 0.4454 | 2.0 | 75000 | 0.4939 | 0.8739 |
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+ | 0.3675 | 3.0 | 112500 | 0.5165 | 0.8819 |
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+ | 0.3438 | 4.0 | 150000 | 0.5416 | 0.8856 |
 
 
 
 
 
 
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  ### Framework versions
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