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Text Classification
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  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Oct30_01-38-42_03895c232c26/events.out.tfevents.1730252741.03895c232c26.290.0 +3 -0
  4. runs/Oct30_01-56-16_91072e7f6350/events.out.tfevents.1730253458.91072e7f6350.1695.0 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -19,8 +19,8 @@ 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 the unsmile_data dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1290
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- - Lrap: 0.8808
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Lrap |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 235 | 0.1494 | 0.8536 |
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- | No log | 2.0 | 470 | 0.1288 | 0.8700 |
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- | 0.173 | 3.0 | 705 | 0.1234 | 0.8802 |
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- | 0.173 | 4.0 | 940 | 0.1274 | 0.8809 |
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- | 0.0792 | 5.0 | 1175 | 0.1290 | 0.8808 |
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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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- - Datasets 3.0.1
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [beomi/kcbert-base](https://huggingface.co/beomi/kcbert-base) on the unsmile_data dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1279
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+ - Lrap: 0.8809
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Lrap |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 235 | 0.1465 | 0.8595 |
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+ | No log | 2.0 | 470 | 0.1262 | 0.8747 |
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+ | 0.1719 | 3.0 | 705 | 0.1216 | 0.8843 |
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+ | 0.1719 | 4.0 | 940 | 0.1265 | 0.8806 |
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+ | 0.0784 | 5.0 | 1175 | 0.1279 | 0.8809 |
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  ### Framework versions
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  - Transformers 4.44.2
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+ - Pytorch 2.5.0+cu121
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+ - Datasets 3.0.2
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  - Tokenizers 0.19.1
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