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answerdotai-ModernBERT-base_finetuned_original
jackmedda/answerdotai-ModernBERT-base_finetuned_original
answerdotai-ModernBERT-base_finetuned_original 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
- 171940bb
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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_original
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: 0.4823
- 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 |
|---|---|---|---|---|---|---|---|
| 1.1058 | 1.0 | 22 | 0.7375 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3825 | 2.0 | 44 | 1.8550 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.5918 | 3.0 | 66 | 0.9376 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.61 | 4.0 | 88 | 0.9971 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.1774 | 5.0 | 110 | 1.8419 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2607 | 6.0 | 132 | 0.5485 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.3885 | 7.0 | 154 | 2.7879 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.0441 | 8.0 | 176 | 0.8489 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0004 | 9.0 | 198 | 1.2395 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 10.0 | 220 | 1.9006 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.0 | 11.0 | 242 | 1.7398 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 12.0 | 264 | 1.6478 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 13.0 | 286 | 1.6237 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 14.0 | 308 | 1.6203 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0 | 15.0 | 330 | 1.6114 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 16.0 | 352 | 1.6016 | 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