End of training
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README.md
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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: 1.
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- F1: 0.64
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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 | 1 | 1.
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| No log | 2.0 | 2 | 1.
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| No log | 3.0 | 3 |
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| No log | 4.0 | 4 | 1.
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| No log | 5.0 | 5 | 1.
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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: 1.5245
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- F1: 0.64
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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 | 1 | 1.2496 | 0.64 |
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| No log | 2.0 | 2 | 1.1629 | 0.64 |
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| No log | 3.0 | 3 | 1.1925 | 0.64 |
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| No log | 4.0 | 4 | 1.3550 | 0.64 |
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| No log | 5.0 | 5 | 1.5245 | 0.64 |
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### Framework versions
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runs/Dec29_16-27-21_ai4d-Lambda-Vector/events.out.tfevents.1735478842.ai4d-Lambda-Vector.200098.0
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size 7708
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