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esekeroglu
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ModernBERT-domain-classifier

Text Classification
Transformers
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Safetensors
modernbert
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Training in progress, epoch 1

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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jan29_15-01-06_EmreSekeroglu/events.out.tfevents.1738152068.EmreSekeroglu.4008.0 +2 -2
  4. runs/Jan29_15-47-50_EmreSekeroglu/events.out.tfevents.1738154872.EmreSekeroglu.4336.0 +3 -0
  5. training_args.bin +1 -1
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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4311
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- - F1: 0.9188
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  ## Model description
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@@ -50,11 +50,11 @@ 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 | 29 | 0.5871 | 0.9027 |
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- | No log | 2.0 | 58 | 0.3751 | 0.9269 |
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- | No log | 3.0 | 87 | 0.3352 | 0.9052 |
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- | 0.6912 | 4.0 | 116 | 0.3910 | 0.9117 |
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- | 0.6912 | 5.0 | 145 | 0.4311 | 0.9188 |
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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: 0.2692
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+ - F1: 0.9410
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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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+ | No log | 1.0 | 29 | 0.8435 | 0.8299 |
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+ | No log | 2.0 | 58 | 0.3284 | 0.9134 |
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+ | No log | 3.0 | 87 | 0.3300 | 0.9084 |
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+ | 0.8422 | 4.0 | 116 | 0.3164 | 0.9143 |
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+ | 0.8422 | 5.0 | 145 | 0.2692 | 0.9410 |
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  ### Framework versions
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