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aha_class_v1

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djsull/aha_class_v1

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Sep27_07-44-35_129-146-79-76/events.out.tfevents.1727423076.129-146-79-76.1523487.0 +3 -0
  4. runs/Sep27_07-44-35_129-146-79-76/events.out.tfevents.1727423420.129-146-79-76.1523487.1 +3 -0
  5. 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 [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0923
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- - F1: 0.9620
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- - Roc Auc: 0.9701
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- - Accuracy: 0.9391
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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 | 42 | 0.1469 | 0.9620 | 0.9701 | 0.9304 |
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- | No log | 2.0 | 84 | 0.1095 | 0.9661 | 0.9724 | 0.9478 |
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- | No log | 3.0 | 126 | 0.1102 | 0.9447 | 0.9553 | 0.9217 |
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- | No log | 4.0 | 168 | 0.1090 | 0.9536 | 0.9637 | 0.9304 |
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- | No log | 5.0 | 210 | 0.0923 | 0.9620 | 0.9701 | 0.9391 |
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- | No log | 6.0 | 252 | 0.1059 | 0.9461 | 0.9613 | 0.9130 |
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- | No log | 7.0 | 294 | 0.1125 | 0.9620 | 0.9701 | 0.9478 |
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- | No log | 8.0 | 336 | 0.0942 | 0.9664 | 0.9743 | 0.9478 |
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- | No log | 9.0 | 378 | 0.0958 | 0.9667 | 0.9763 | 0.9478 |
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- | No log | 10.0 | 420 | 0.0956 | 0.9705 | 0.9766 | 0.9565 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [klue/roberta-base](https://huggingface.co/klue/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0955
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+ - F1: 0.9580
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+ - Roc Auc: 0.9679
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+ - Accuracy: 0.9304
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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 | 42 | 0.1536 | 0.9496 | 0.9615 | 0.9130 |
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+ | No log | 2.0 | 84 | 0.1121 | 0.9540 | 0.9657 | 0.9217 |
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+ | No log | 3.0 | 126 | 0.1088 | 0.9617 | 0.9682 | 0.9478 |
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+ | No log | 4.0 | 168 | 0.1023 | 0.9580 | 0.9679 | 0.9391 |
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+ | No log | 5.0 | 210 | 0.0955 | 0.9580 | 0.9679 | 0.9304 |
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+ | No log | 6.0 | 252 | 0.0979 | 0.9576 | 0.9659 | 0.9391 |
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+ | No log | 7.0 | 294 | 0.1009 | 0.9627 | 0.9741 | 0.9391 |
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+ | No log | 8.0 | 336 | 0.0972 | 0.9580 | 0.9679 | 0.9304 |
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+ | No log | 9.0 | 378 | 0.1148 | 0.95 | 0.9635 | 0.9217 |
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+ | No log | 10.0 | 420 | 0.1093 | 0.9544 | 0.9677 | 0.9217 |
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  ### Framework versions
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