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End of training

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README.md CHANGED
@@ -5,7 +5,10 @@ base_model: answerdotai/ModernBERT-base
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  tags:
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  - generated_from_trainer
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  metrics:
 
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  - f1
 
 
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  model-index:
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  - name: ModernBERT-domain-classifier
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  results: []
@@ -19,7 +22,11 @@ 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: nan
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- - F1: 0.0021
 
 
 
 
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  ## Model description
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@@ -48,13 +55,13 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | No log | 1.0 | 29 | nan | 0.0021 |
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- | No log | 2.0 | 58 | nan | 0.0021 |
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- | No log | 3.0 | 87 | nan | 0.0021 |
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- | 0.0 | 4.0 | 116 | nan | 0.0021 |
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- | 0.0 | 5.0 | 145 | nan | 0.0021 |
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  ### Framework versions
 
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  tags:
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  - generated_from_trainer
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  metrics:
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+ - accuracy
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  - f1
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+ - precision
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+ - recall
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  model-index:
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  - name: ModernBERT-domain-classifier
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  results: []
 
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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: nan
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+ - Accuracy: 0.04
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+ - F1: 0.0032
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+ - F1 Weighted: 0.0031
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+ - Precision: 0.0016
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+ - Recall: 0.04
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | F1 Weighted | Precision | Recall |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-----------:|:---------:|:------:|
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+ | No log | 1.0 | 29 | nan | 0.04 | 0.0032 | 0.0031 | 0.0016 | 0.04 |
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+ | No log | 2.0 | 58 | nan | 0.04 | 0.0032 | 0.0031 | 0.0016 | 0.04 |
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+ | No log | 3.0 | 87 | nan | 0.04 | 0.0032 | 0.0031 | 0.0016 | 0.04 |
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+ | 0.0 | 4.0 | 116 | nan | 0.04 | 0.0032 | 0.0031 | 0.0016 | 0.04 |
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+ | 0.0 | 5.0 | 145 | nan | 0.04 | 0.0032 | 0.0031 | 0.0016 | 0.04 |
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  ### Framework versions
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