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jhu-clsp_mmBERT-small_ep10_lr1e-06_batchpergpu16_gpu1
NiGuLa/jhu-clsp_mmBERT-small_ep10_lr1e-06_batchpergpu16_gpu1
jhu-clsp_mmBERT-small_ep10_lr1e-06_batchpergpu16_gpu1 is a text classification model from NiGuLa. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- modernbert
- Access
- Public
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026
- SHA
- 77863502
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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. -->
jhu-clsp_mmBERT-small_ep10_lr1e-06_batchpergpu16_gpu1
This model is a fine-tuned version of jhu-clsp/mmBERT-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1802
- F1 Micro: 0.6045
- F1 Macro: 0.1689
- Exact Match: 0.6402
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: 1e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Exact Match |
|---|---|---|---|---|---|---|
| 0.2069 | 0.9924 | 131 | 0.2299 | 0.5387 | 0.1155 | 0.5739 |
| 0.2117 | 1.9848 | 262 | 0.2099 | 0.5601 | 0.1197 | 0.6042 |
| 0.2049 | 2.9773 | 393 | 0.2000 | 0.5819 | 0.1368 | 0.6155 |
| 0.2011 | 3.9697 | 524 | 0.1921 | 0.5694 | 0.1356 | 0.6193 |
| 0.1655 | 4.9621 | 655 | 0.1872 | 0.5821 | 0.1384 | 0.6364 |
| 0.1629 | 5.9545 | 786 | 0.1838 | 0.6055 | 0.1572 | 0.6458 |
| 0.1678 | 6.9470 | 917 | 0.1814 | 0.5997 | 0.1624 | 0.6402 |
| 0.1643 | 7.9394 | 1048 | 0.1802 | 0.6045 | 0.1689 | 0.6402 |
Framework versions
- Transformers 5.6.2
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- mit
- Created
- Apr 24, 2026
- Updated
- Apr 24, 2026