Add model trained for query classification (v5.0)
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README.md
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license: apache-2.0
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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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- accuracy
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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.
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- Accuracy: 0.
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- F1: 0.
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- Precision: 0.
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- Recall: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 |
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### Framework versions
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- Transformers 4.
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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license: apache-2.0
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base_model: answerdotai/ModernBERT-base
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tags:
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- v5.0
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- generated_from_trainer
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metrics:
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- accuracy
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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: 0.2355
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- Accuracy: 0.9700
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- F1: 0.9700
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- Precision: 0.9702
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- Recall: 0.9700
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| No log | 1.0 | 311 | 0.1570 | 0.9587 | 0.9588 | 0.9594 | 0.9587 |
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| 0.1864 | 2.0 | 622 | 0.2007 | 0.9644 | 0.9645 | 0.9650 | 0.9644 |
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| 0.1864 | 3.0 | 933 | 0.2530 | 0.9644 | 0.9643 | 0.9651 | 0.9644 |
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| 0.0242 | 4.0 | 1244 | 0.2355 | 0.9700 | 0.9700 | 0.9702 | 0.9700 |
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| 0.0031 | 5.0 | 1555 | 0.2446 | 0.9700 | 0.9700 | 0.9702 | 0.9700 |
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### Framework versions
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- Transformers 4.51.3
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- Pytorch 2.6.0+cu124
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- Datasets 3.5.0
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- Tokenizers 0.21.1
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runs/Apr22_08-25-04_7e8cfa1e754a/events.out.tfevents.1745310341.7e8cfa1e754a.369.0
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runs/Apr22_08-25-04_7e8cfa1e754a/events.out.tfevents.1745311264.7e8cfa1e754a.369.1
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