End of training
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README.md
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@@ -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.
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- F1: 0.
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs:
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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 |
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| 0.
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| 0.
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| 0.5533 | 5.0 | 190 | 0.6384 | 0.7650 |
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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: 0.7251
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- F1: 0.7531
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## Model description
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 4
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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 | 50 | 0.5781 | 0.7099 |
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| 0.5652 | 2.0 | 100 | 0.5333 | 0.7303 |
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| 0.5652 | 3.0 | 150 | 0.5754 | 0.7456 |
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| 0.3387 | 4.0 | 200 | 0.7251 | 0.7531 |
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### Framework versions
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model.safetensors
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runs/Dec29_17-28-27_ai4d-Lambda-Vector/events.out.tfevents.1735482507.ai4d-Lambda-Vector.331314.0
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