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dpravinv
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fold_1

Text Classification
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Safetensors
modernbert
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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Feb24_12-16-13_vapratux/events.out.tfevents.1740395774.vapratux.103021.1 +2 -2
README.md CHANGED
@@ -18,8 +18,8 @@ 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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.8015
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- - F1: 0.6817
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  ## Model description
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@@ -50,21 +50,21 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 20 | 1.1006 | 0.3891 |
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- | No log | 2.0 | 40 | 0.9066 | 0.6034 |
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- | No log | 3.0 | 60 | 0.9174 | 0.6661 |
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- | No log | 4.0 | 80 | 1.1777 | 0.6417 |
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- | 0.5551 | 5.0 | 100 | 1.5278 | 0.6506 |
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- | 0.5551 | 6.0 | 120 | 1.3813 | 0.6799 |
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- | 0.5551 | 7.0 | 140 | 1.5435 | 0.6764 |
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- | 0.5551 | 8.0 | 160 | 1.7776 | 0.6449 |
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- | 0.5551 | 9.0 | 180 | 1.8167 | 0.6874 |
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- | 0.0081 | 10.0 | 200 | 1.8015 | 0.6817 |
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  ### Framework versions
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- - Transformers 4.48.0
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- - Pytorch 2.5.1
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- - Datasets 3.2.0
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  - Tokenizers 0.21.0
 
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  This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.9100
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+ - F1: 0.8754
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.4408 | 1.0 | 300 | 0.4009 | 0.8397 |
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+ | 0.2759 | 2.0 | 600 | 0.3372 | 0.8663 |
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+ | 0.1514 | 3.0 | 900 | 0.3983 | 0.8672 |
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+ | 0.0857 | 4.0 | 1200 | 0.5213 | 0.8713 |
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+ | 0.0524 | 5.0 | 1500 | 0.6283 | 0.8743 |
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+ | 0.0293 | 6.0 | 1800 | 0.7607 | 0.8644 |
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+ | 0.0162 | 7.0 | 2100 | 0.7423 | 0.8647 |
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+ | 0.0121 | 8.0 | 2400 | 0.8281 | 0.8731 |
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+ | 0.006 | 9.0 | 2700 | 0.8774 | 0.8770 |
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+ | 0.0019 | 10.0 | 3000 | 0.9100 | 0.8754 |
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  ### Framework versions
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+ - Transformers 4.48.0.dev0
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+ - Pytorch 2.6.0+cu124
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+ - Datasets 3.1.0
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  - Tokenizers 0.21.0
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