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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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- accuracy |
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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: starclass_modernbert |
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results: [] |
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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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# starclass_modernbert |
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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: 0.2026 |
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- Accuracy: 0.9524 |
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- Precision: 0.9545 |
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- Recall: 0.9524 |
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- F1: 0.9529 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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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: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 1.0385 | 1.0 | 16 | 0.2928 | 0.9048 | 0.9188 | 0.9048 | 0.9057 | |
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| 0.1931 | 2.0 | 32 | 0.1816 | 0.9206 | 0.9284 | 0.9206 | 0.9222 | |
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| 0.0984 | 3.0 | 48 | 0.2056 | 0.9365 | 0.9384 | 0.9365 | 0.9370 | |
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| 0.0027 | 4.0 | 64 | 0.1988 | 0.9524 | 0.9545 | 0.9524 | 0.9529 | |
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| 0.0003 | 5.0 | 80 | 0.2026 | 0.9524 | 0.9545 | 0.9524 | 0.9529 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.1.0 |
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- Tokenizers 0.21.0 |
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