Downloads · 30 days
15
31% of all-time downloads
answerdotai-ModernBERT-base_finetuned_augmented_augmented_smollm2_1.7b
jackmedda/answerdotai-ModernBERT-base_finetuned_augmented_augmented_smollm2_1.7b
answerdotai-ModernBERT-base_finetuned_augmented_augmented_smollm2_1.7b 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. --
All-time downloads
49
Public
Parameters
150M
598 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors598 MB · 99%
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
- 6a59bf08
Try a prompt
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_smollm2_1.7b
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: 0.5951
- Accuracy: 0.8824
- F1: 0.9259
- Precision: 0.8929
- 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 |
|---|---|---|---|---|---|---|---|
| 0.2323 | 1.0 | 46 | 1.8004 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.2436 | 2.0 | 92 | 2.1585 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3226 | 3.0 | 138 | 1.0359 | 0.7 | 0.8235 | 0.7 | 1.0 |
| 0.3603 | 4.0 | 184 | 0.6533 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0654 | 5.0 | 230 | 0.9845 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.0202 | 6.0 | 276 | 1.5773 | 0.8 | 0.875 | 0.7778 | 1.0 |
| 0.2663 | 7.0 | 322 | 0.9589 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 8.0 | 368 | 0.2755 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 9.0 | 414 | 0.1603 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 10.0 | 460 | 0.1439 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 11.0 | 506 | 0.1799 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 12.0 | 552 | 0.2223 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 13.0 | 598 | 0.2540 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 14.0 | 644 | 0.2774 | 0.9 | 0.9333 | 0.875 | 1.0 |
| 0.0 | 15.0 | 690 | 0.2929 | 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