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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-large |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: binary_paragraph |
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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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# binary_paragraph |
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This model is a fine-tuned version of [answerdotai/ModernBERT-large](https://huggingface.co/answerdotai/ModernBERT-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2290 |
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- Classification Report: {'0': {'precision': 0.9048991354466859, 'recall': 0.9861809045226131, 'f1-score': 0.9437932070934776, 'support': 1592.0}, '1': {'precision': 0.811965811965812, 'recall': 0.36538461538461536, 'f1-score': 0.5039787798408488, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.858432473706249, 'recall': 0.6757827599536143, 'f1-score': 0.7238859934671632, 'support': 1852.0}, 'weighted avg': {'precision': 0.891852340573561, 'recall': 0.8990280777537797, 'f1-score': 0.8820482011076873, 'support': 1852.0}} |
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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-06 |
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- train_batch_size: 22 |
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- eval_batch_size: 22 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 4 |
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- total_train_batch_size: 88 |
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- total_eval_batch_size: 88 |
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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: 2 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Classification Report | |
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|:-------------:|:-----:|:----:|:---------------:|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------:| |
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| No log | 1.0 | 71 | 0.2510 | {'0': {'precision': 0.8783185840707964, 'recall': 0.9974874371859297, 'f1-score': 0.9341176470588235, 'support': 1592.0}, '1': {'precision': 0.9090909090909091, 'recall': 0.15384615384615385, 'f1-score': 0.2631578947368421, 'support': 260.0}, 'accuracy': 0.8790496760259179, 'macro avg': {'precision': 0.8937047465808527, 'recall': 0.5756667955160417, 'f1-score': 0.5986377708978328, 'support': 1852.0}, 'weighted avg': {'precision': 0.8826386728965142, 'recall': 0.8790496760259179, 'f1-score': 0.839922433449906, 'support': 1852.0}} | |
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| No log | 2.0 | 142 | 0.2290 | {'0': {'precision': 0.9048991354466859, 'recall': 0.9861809045226131, 'f1-score': 0.9437932070934776, 'support': 1592.0}, '1': {'precision': 0.811965811965812, 'recall': 0.36538461538461536, 'f1-score': 0.5039787798408488, 'support': 260.0}, 'accuracy': 0.8990280777537797, 'macro avg': {'precision': 0.858432473706249, 'recall': 0.6757827599536143, 'f1-score': 0.7238859934671632, 'support': 1852.0}, 'weighted avg': {'precision': 0.891852340573561, 'recall': 0.8990280777537797, 'f1-score': 0.8820482011076873, 'support': 1852.0}} | |
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### Framework versions |
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- Transformers 4.53.1 |
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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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