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model_output

Text Classification
Transformers
TensorBoard
Safetensors
bert
sjy
categorical
multi_label
10_class
Generated from Trainer
Model card Files
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son1791 commited on
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sjy2

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Files changed (4) hide show
  1. README.md +9 -9
  2. model.safetensors +1 -1
  3. runs/Oct10_00-20-24_d16cf94d1c57/events.out.tfevents.1728519963.d16cf94d1c57.434.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -4,9 +4,9 @@ license: apache-2.0
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  base_model: beomi/kcbert-base
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  tags:
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  - sjy
 
 
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  - 10_class
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- - multi_labels
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- - sjy_
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  - generated_from_trainer
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  model-index:
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  - name: model_output
@@ -20,8 +20,8 @@ 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: 0.1311
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- - Lrap: 0.8789
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  ## Model description
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@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Lrap |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 235 | 0.1482 | 0.8583 |
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- | No log | 2.0 | 470 | 0.1289 | 0.8723 |
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- | 0.1715 | 3.0 | 705 | 0.1241 | 0.8800 |
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- | 0.1715 | 4.0 | 940 | 0.1291 | 0.8780 |
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- | 0.0771 | 5.0 | 1175 | 0.1311 | 0.8789 |
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  ### Framework versions
 
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  base_model: beomi/kcbert-base
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  tags:
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  - sjy
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+ - categorical
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+ - multi_label
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  - 10_class
 
 
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  - generated_from_trainer
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  model-index:
12
  - name: model_output
 
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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: 0.1304
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+ - Lrap: 0.8799
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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 | 0.1487 | 0.8561 |
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+ | No log | 2.0 | 470 | 0.1298 | 0.8712 |
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+ | 0.1721 | 3.0 | 705 | 0.1237 | 0.8792 |
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+ | 0.1721 | 4.0 | 940 | 0.1293 | 0.8776 |
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+ | 0.0786 | 5.0 | 1175 | 0.1304 | 0.8799 |
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  ### Framework versions
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