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answerdotai-ModernBERT-base_finetuned_augmented_augmented_chatgpt4
jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_chatgpt4
answerdotai-ModernBERT-base_finetuned_augmented_augmented_chatgpt4 is a text classification model from jackmedda. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025
- SHA
- ce36dca8
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_chatgpt4
This model is a fine-tuned version of answerdotai/ModernBERT-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6009
- Accuracy: 0.8529
- F1: 0.9123
- Precision: 0.8387
- Recall: 1.0
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.7541 | 1.0 | 46 | 1.0379 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.6904 | 2.0 | 92 | 0.6320 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.5034 | 3.0 | 138 | 0.5816 | 0.7 | 0.8 | 0.75 | 0.8571 |
| 0.4788 | 4.0 | 184 | 0.6822 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4101 | 5.0 | 230 | 1.0326 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3942 | 6.0 | 276 | 0.9368 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3482 | 7.0 | 322 | 0.7998 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.5565 | 8.0 | 368 | 1.0760 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2264 | 9.0 | 414 | 1.0318 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.3199 | 10.0 | 460 | 0.6990 | 0.7 | 0.8 | 0.75 | 0.8571 |
| 0.6271 | 11.0 | 506 | 1.3217 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.5053 | 12.0 | 552 | 2.2078 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4181 | 13.0 | 598 | 1.9610 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0041 | 14.0 | 644 | 2.4483 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.1389 | 15.0 | 690 | 1.2595 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.1238 | 16.0 | 736 | 1.8522 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.003 | 17.0 | 782 | 1.9726 | 0.8 | 0.875 | 0.7778 | 1.0 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.3.0+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Feb 12, 2025
- Updated
- Feb 12, 2025