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esekeroglu
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ModernBERT-domain-classifier

Text Classification
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Safetensors
modernbert
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Training in progress, epoch 1

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  1. README.md +8 -8
  2. model.safetensors +1 -1
  3. runs/Jan29_16-30-18_EmreSekeroglu/events.out.tfevents.1738157419.EmreSekeroglu.25164.0 +2 -2
  4. runs/Jan29_17-13-28_EmreSekeroglu/events.out.tfevents.1738160009.EmreSekeroglu.19740.0 +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: 0.6682
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- - F1: 0.8685
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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  - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
@@ -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 | 1.4828 | 0.7320 |
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- | No log | 2.0 | 58 | 0.8889 | 0.8469 |
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- | No log | 3.0 | 87 | 0.7388 | 0.8547 |
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- | 1.1755 | 4.0 | 116 | 0.6949 | 0.8588 |
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- | 1.1755 | 5.0 | 145 | 0.6682 | 0.8685 |
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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: 0.6346
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+ - F1: 0.8985
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 7e-05
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  - train_batch_size: 32
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  - eval_batch_size: 16
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  - seed: 42
 
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 29 | 0.7395 | 0.8302 |
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+ | No log | 2.0 | 58 | 0.5699 | 0.8987 |
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+ | No log | 3.0 | 87 | 0.6828 | 0.8906 |
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+ | 0.6144 | 4.0 | 116 | 0.6353 | 0.8770 |
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+ | 0.6144 | 5.0 | 145 | 0.6346 | 0.8985 |
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  ### Framework versions
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