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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: 1.8850
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- - F1: 0.6998
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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 | 1.0532 | 0.5550 |
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- | No log | 2.0 | 40 | 0.8081 | 0.6607 |
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- | No log | 3.0 | 60 | 0.7612 | 0.7112 |
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- | No log | 4.0 | 80 | 1.1872 | 0.6839 |
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- | 0.6435 | 5.0 | 100 | 1.3877 | 0.7259 |
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- | 0.6435 | 6.0 | 120 | 2.0059 | 0.6665 |
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- | 0.6435 | 7.0 | 140 | 1.8729 | 0.6866 |
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- | 0.6435 | 8.0 | 160 | 1.8222 | 0.7148 |
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- | 0.6435 | 9.0 | 180 | 1.8790 | 0.7057 |
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- | 0.0083 | 10.0 | 200 | 1.8850 | 0.6998 |
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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: 1.1221
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+ - F1: 0.8632
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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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+ | 0.4106 | 1.0 | 300 | 0.3857 | 0.8353 |
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+ | 0.2705 | 2.0 | 600 | 0.3586 | 0.8615 |
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+ | 0.1633 | 3.0 | 900 | 0.4721 | 0.8439 |
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+ | 0.0804 | 4.0 | 1200 | 0.5829 | 0.8503 |
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+ | 0.052 | 5.0 | 1500 | 0.7545 | 0.8536 |
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+ | 0.0245 | 6.0 | 1800 | 1.0105 | 0.8581 |
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+ | 0.0119 | 7.0 | 2100 | 0.9987 | 0.8609 |
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+ | 0.006 | 8.0 | 2400 | 1.1393 | 0.8603 |
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+ | 0.0041 | 9.0 | 2700 | 1.1023 | 0.8644 |
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+ | 0.0015 | 10.0 | 3000 | 1.1221 | 0.8632 |
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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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