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DayCardoso
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valueeval24-modern-bert

Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
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  1. README.md +14 -14
  2. best_model/model.safetensors +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,10 +19,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0916
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- - F1: 0.2556
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- - Roc Auc: 0.5939
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- - Accuracy: 0.5003
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  ## Model description
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@@ -55,16 +55,16 @@ 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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- | 0.0873 | 1.0 | 5595 | 0.0608 | 0.0855 | 0.5229 | 0.5010 |
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- | 0.0577 | 2.0 | 11190 | 0.0564 | 0.2036 | 0.5619 | 0.5216 |
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- | 0.0513 | 3.0 | 16785 | 0.0557 | 0.2413 | 0.5772 | 0.5274 |
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- | 0.0445 | 4.0 | 22380 | 0.0573 | 0.2330 | 0.5736 | 0.5270 |
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- | 0.036 | 5.0 | 27975 | 0.0611 | 0.2725 | 0.5976 | 0.5158 |
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- | 0.0266 | 6.0 | 33570 | 0.0661 | 0.2588 | 0.5908 | 0.5123 |
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- | 0.0177 | 7.0 | 39165 | 0.0721 | 0.2668 | 0.5990 | 0.5016 |
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- | 0.0107 | 8.0 | 44760 | 0.0791 | 0.2586 | 0.5947 | 0.5044 |
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- | 0.0063 | 9.0 | 50355 | 0.0848 | 0.2706 | 0.6021 | 0.5019 |
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- | 0.0037 | 10.0 | 55950 | 0.0916 | 0.2556 | 0.5939 | 0.5003 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0898
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+ - F1: 0.2326
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+ - Roc Auc: 0.5830
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+ - Accuracy: 0.4940
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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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+ | 0.0899 | 1.0 | 5595 | 0.0614 | 0.0910 | 0.5245 | 0.5018 |
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+ | 0.0586 | 2.0 | 11190 | 0.0575 | 0.1624 | 0.5473 | 0.5126 |
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+ | 0.0523 | 3.0 | 16785 | 0.0573 | 0.2170 | 0.5678 | 0.5220 |
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+ | 0.0455 | 4.0 | 22380 | 0.0585 | 0.2205 | 0.5705 | 0.5158 |
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+ | 0.0372 | 5.0 | 27975 | 0.0614 | 0.2513 | 0.5876 | 0.5056 |
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+ | 0.0276 | 6.0 | 33570 | 0.0663 | 0.2324 | 0.5787 | 0.5071 |
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+ | 0.0184 | 7.0 | 39165 | 0.0714 | 0.2394 | 0.5856 | 0.4948 |
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+ | 0.0111 | 8.0 | 44760 | 0.0774 | 0.2498 | 0.5922 | 0.4951 |
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+ | 0.0062 | 9.0 | 50355 | 0.0835 | 0.2365 | 0.5847 | 0.4934 |
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+ | 0.0035 | 10.0 | 55950 | 0.0898 | 0.2326 | 0.5830 | 0.4940 |
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  ### Framework versions
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