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aha_classification

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djsull/aha_classification

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Sep05_06-35-28_129-146-79-76/events.out.tfevents.1725518129.129-146-79-76.424120.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -17,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0276
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- - F1: 1.0
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- - Roc Auc: 1.0
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- - Accuracy: 1.0
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  ## Model description
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@@ -51,16 +51,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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- | No log | 1.0 | 50 | 0.2740 | 0.9906 | 0.9930 | 0.9857 |
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- | No log | 2.0 | 100 | 0.1222 | 0.9938 | 0.9962 | 0.9857 |
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- | No log | 3.0 | 150 | 0.0663 | 0.9969 | 0.9981 | 0.9929 |
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- | No log | 4.0 | 200 | 0.0423 | 0.9969 | 0.9981 | 0.9929 |
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- | No log | 5.0 | 250 | 0.0276 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 300 | 0.0208 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 350 | 0.0165 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 400 | 0.0135 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 450 | 0.0114 | 1.0 | 1.0 | 1.0 |
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- | 0.1025 | 10.0 | 500 | 0.0101 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [monologg/kobigbird-bert-base](https://huggingface.co/monologg/kobigbird-bert-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1015
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+ - F1: 0.9446
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+ - Roc Auc: 0.9544
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+ - Accuracy: 0.8777
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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+ | No log | 1.0 | 50 | 0.3346 | 0.9193 | 0.9412 | 0.8201 |
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+ | No log | 2.0 | 100 | 0.1859 | 0.9311 | 0.9428 | 0.8561 |
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+ | No log | 3.0 | 150 | 0.1490 | 0.9216 | 0.9358 | 0.8417 |
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+ | No log | 4.0 | 200 | 0.1233 | 0.9381 | 0.9492 | 0.8705 |
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+ | No log | 5.0 | 250 | 0.1135 | 0.9518 | 0.9622 | 0.8993 |
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+ | No log | 6.0 | 300 | 0.1047 | 0.9416 | 0.9525 | 0.8705 |
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+ | No log | 7.0 | 350 | 0.1019 | 0.9443 | 0.9531 | 0.8777 |
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+ | No log | 8.0 | 400 | 0.1065 | 0.9338 | 0.9434 | 0.8633 |
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+ | No log | 9.0 | 450 | 0.0996 | 0.9373 | 0.9466 | 0.8633 |
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+ | 0.168 | 10.0 | 500 | 0.1015 | 0.9446 | 0.9544 | 0.8777 |
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  ### Framework versions
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