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dpravinv
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fold_0

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_11-48-40_vapratux/events.out.tfevents.1740394121.vapratux.103021.0 +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: 1.7374
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- - F1: 0.7461
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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 | 0.8929 | 0.6260 |
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- | No log | 2.0 | 40 | 0.9604 | 0.6252 |
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- | No log | 3.0 | 60 | 0.8216 | 0.7249 |
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- | No log | 4.0 | 80 | 0.9223 | 0.7608 |
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- | 0.5378 | 5.0 | 100 | 1.5160 | 0.6767 |
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- | 0.5378 | 6.0 | 120 | 1.4985 | 0.7316 |
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- | 0.5378 | 7.0 | 140 | 1.6619 | 0.7521 |
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- | 0.5378 | 8.0 | 160 | 1.6841 | 0.7473 |
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- | 0.5378 | 9.0 | 180 | 1.7117 | 0.7406 |
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- | 0.0033 | 10.0 | 200 | 1.7374 | 0.7461 |
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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: 0.9022
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+ - F1: 0.8823
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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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+ | 0.4236 | 1.0 | 300 | 0.3209 | 0.8608 |
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+ | 0.3001 | 2.0 | 600 | 0.3393 | 0.8794 |
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+ | 0.181 | 3.0 | 900 | 0.3445 | 0.8777 |
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+ | 0.0869 | 4.0 | 1200 | 0.4477 | 0.8748 |
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+ | 0.048 | 5.0 | 1500 | 0.5848 | 0.8756 |
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+ | 0.027 | 6.0 | 1800 | 0.7577 | 0.8777 |
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+ | 0.0106 | 7.0 | 2100 | 0.8477 | 0.8761 |
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+ | 0.0079 | 8.0 | 2400 | 0.8961 | 0.8795 |
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+ | 0.0023 | 9.0 | 2700 | 0.8948 | 0.8831 |
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+ | 0.0001 | 10.0 | 3000 | 0.9022 | 0.8823 |
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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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