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answerdotai-ModernBERT-base_finetuned_augmented_augmented_llama3.3_70b
jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_llama3.3_70b
answerdotai-ModernBERT-base_finetuned_augmented_augmented_llama3.3_70b 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
- f4c0bf23
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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_llama3.3_70b
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: 0.4590
- Accuracy: 0.7941
- F1: 0.8772
- Precision: 0.8065
- Recall: 0.9615
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 |
|---|---|---|---|---|---|---|---|
| 0.5856 | 1.0 | 39 | 0.6656 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.6086 | 2.0 | 78 | 0.6254 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.4525 | 3.0 | 117 | 1.7133 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.6768 | 4.0 | 156 | 0.6883 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 1.0928 | 5.0 | 195 | 0.7024 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0483 | 6.0 | 234 | 0.9437 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.1075 | 7.0 | 273 | 1.4365 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 8.0 | 312 | 1.5065 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 9.0 | 351 | 1.9112 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 10.0 | 390 | 2.0119 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 11.0 | 429 | 2.0375 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 12.0 | 468 | 2.0552 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 13.0 | 507 | 2.0808 | 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