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djsull/aha_class

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  1. README.md +10 -12
  2. model.safetensors +1 -1
  3. runs/Sep09_02-52-49_129-146-79-76/events.out.tfevents.1725850370.129-146-79-76.2284329.0 +3 -0
  4. runs/Sep09_02-52-49_129-146-79-76/events.out.tfevents.1725857503.129-146-79-76.2284329.1 +3 -0
  5. runs/Sep09_04-54-06_129-146-79-76/events.out.tfevents.1725857647.129-146-79-76.2284329.2 +3 -0
  6. runs/Sep09_04-55-12_129-146-79-76/events.out.tfevents.1725857712.129-146-79-76.2284329.3 +3 -0
  7. runs/Sep09_04-55-12_129-146-79-76/events.out.tfevents.1725857969.129-146-79-76.2284329.4 +3 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -17,9 +17,9 @@ 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: 0.1049
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- - F1: 0.9620
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- - Roc Auc: 0.9701
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  - Accuracy: 0.9478
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  ## Model description
@@ -51,15 +51,13 @@ 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 | 0.1555 | 0.9580 | 0.9679 | 0.9217 |
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- | No log | 2.0 | 84 | 0.1193 | 0.9536 | 0.9637 | 0.9304 |
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- | No log | 3.0 | 126 | 0.1131 | 0.9536 | 0.9637 | 0.9304 |
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- | No log | 4.0 | 168 | 0.1049 | 0.9620 | 0.9701 | 0.9478 |
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- | No log | 5.0 | 210 | 0.0949 | 0.9620 | 0.9701 | 0.9478 |
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- | No log | 6.0 | 252 | 0.1018 | 0.9451 | 0.9573 | 0.9217 |
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- | No log | 7.0 | 294 | 0.1081 | 0.9496 | 0.9615 | 0.9304 |
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- | No log | 8.0 | 336 | 0.1127 | 0.9580 | 0.9679 | 0.9391 |
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- | No log | 9.0 | 378 | 0.1159 | 0.9580 | 0.9679 | 0.9391 |
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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: 0.0999
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+ - F1: 0.9664
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+ - Roc Auc: 0.9743
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  - Accuracy: 0.9478
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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 | 0.1375 | 0.9627 | 0.9741 | 0.9391 |
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+ | No log | 2.0 | 84 | 0.0999 | 0.9664 | 0.9743 | 0.9478 |
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+ | No log | 3.0 | 126 | 0.1220 | 0.9627 | 0.9741 | 0.9391 |
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+ | No log | 4.0 | 168 | 0.1148 | 0.9667 | 0.9763 | 0.9478 |
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+ | No log | 5.0 | 210 | 0.1353 | 0.9623 | 0.9721 | 0.9391 |
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+ | No log | 6.0 | 252 | 0.1092 | 0.9669 | 0.9783 | 0.9391 |
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+ | No log | 7.0 | 294 | 0.1435 | 0.9667 | 0.9763 | 0.9478 |
 
 
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  ### Framework versions
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