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dpravinv
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fold_4

Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
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  1. README.md +15 -15
  2. model.safetensors +1 -1
  3. runs/Feb24_13-38-43_vapratux/events.out.tfevents.1740400723.vapratux.103021.4 +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: 1.1424
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- - F1: 0.8050
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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 | 1.1259 | 0.3473 |
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- | No log | 2.0 | 40 | 1.0386 | 0.6004 |
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- | No log | 3.0 | 60 | 1.0188 | 0.6095 |
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- | No log | 4.0 | 80 | 0.8320 | 0.7176 |
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- | 0.7917 | 5.0 | 100 | 1.3236 | 0.6829 |
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- | 0.7917 | 6.0 | 120 | 0.9291 | 0.7648 |
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- | 0.7917 | 7.0 | 140 | 1.1950 | 0.7217 |
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- | 0.7917 | 8.0 | 160 | 1.1574 | 0.7446 |
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- | 0.7917 | 9.0 | 180 | 1.1451 | 0.8035 |
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- | 0.0401 | 10.0 | 200 | 1.1424 | 0.8050 |
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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: 0.9750
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+ - F1: 0.8671
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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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+ | 0.4161 | 1.0 | 300 | 0.3895 | 0.8468 |
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+ | 0.2737 | 2.0 | 600 | 0.3850 | 0.8483 |
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+ | 0.1507 | 3.0 | 900 | 0.4366 | 0.8527 |
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+ | 0.101 | 4.0 | 1200 | 0.4940 | 0.8651 |
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+ | 0.0613 | 5.0 | 1500 | 0.6864 | 0.8578 |
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+ | 0.029 | 6.0 | 1800 | 0.7927 | 0.8602 |
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+ | 0.0263 | 7.0 | 2100 | 0.8139 | 0.8581 |
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+ | 0.0059 | 8.0 | 2400 | 0.8550 | 0.8669 |
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+ | 0.0028 | 9.0 | 2700 | 0.9667 | 0.8648 |
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+ | 0.001 | 10.0 | 3000 | 0.9750 | 0.8671 |
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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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