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README.md ADDED
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+ ---
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+ library_name: transformers
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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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+ - f1
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+ model-index:
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+ - name: fold_0
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # fold_0
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+
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+ This model is a fine-tuned version of [answerdotai/ModernBERT-base](https://huggingface.co/answerdotai/ModernBERT-base) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.7374
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+ - F1: 0.7461
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-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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+ - 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: 10
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 1.0 | 20 | 0.8929 | 0.6260 |
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+ | No log | 2.0 | 40 | 0.9604 | 0.6252 |
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+ | No log | 3.0 | 60 | 0.8216 | 0.7249 |
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+ | No log | 4.0 | 80 | 0.9223 | 0.7608 |
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+ | 0.5378 | 5.0 | 100 | 1.5160 | 0.6767 |
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+ | 0.5378 | 6.0 | 120 | 1.4985 | 0.7316 |
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+ | 0.5378 | 7.0 | 140 | 1.6619 | 0.7521 |
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+ | 0.5378 | 8.0 | 160 | 1.6841 | 0.7473 |
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+ | 0.5378 | 9.0 | 180 | 1.7117 | 0.7406 |
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+ | 0.0033 | 10.0 | 200 | 1.7374 | 0.7461 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.0
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+ - Pytorch 2.5.1
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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