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answerdotai-ModernBERT-base_finetuned_augmented_augmented_phi4_14b
jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_phi4_14b
answerdotai-ModernBERT-base_finetuned_augmented_augmented_phi4_14b 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
- 4443d56f
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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_phi4_14b
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: 0.3601
- Accuracy: 0.9118
- F1: 0.9455
- Precision: 0.8966
- 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 |
|---|---|---|---|---|---|---|---|
| 0.2089 | 1.0 | 46 | 2.4599 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4159 | 2.0 | 92 | 0.6958 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2591 | 3.0 | 138 | 1.1380 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.1689 | 4.0 | 184 | 0.5389 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0072 | 5.0 | 230 | 0.7038 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0287 | 6.0 | 276 | 1.3252 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 7.0 | 322 | 0.1826 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 8.0 | 368 | 0.2609 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 9.0 | 414 | 0.2552 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 10.0 | 460 | 0.2752 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 11.0 | 506 | 0.2587 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 12.0 | 552 | 0.2601 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 13.0 | 598 | 0.2822 | 0.9 | 0.9333 | 0.875 | 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