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modernbert-challenges-directions-nli
shahafvl/modernbert-challenges-directions-nli
modernbert-challenges-directions-nli is a text classification model from shahafvl. 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
- Mar 19, 2025
- Updated
- Mar 19, 2025
- SHA
- cefdd00b
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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. -->
modernbert-challenges-directions-nli
This model is a fine-tuned version of tasksource/ModernBERT-base-nli on an unknown dataset. It achieves the following results on the evaluation set:
- F1: 0.7328
- Loss: 0.7023
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: 4.7235499546899774e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | F1 | Validation Loss |
|---|---|---|---|---|
| No log | 1.0 | 72 | 0.7222 | 0.3932 |
| 0.313 | 2.0 | 144 | 0.6768 | 0.5944 |
| 0.0557 | 3.0 | 216 | 0.7003 | 0.7050 |
| 0.0557 | 4.0 | 288 | 0.7328 | 0.7023 |
| 0.005 | 5.0 | 360 | 0.7302 | 0.7106 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.3.2
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- Mar 19, 2025
- Updated
- Mar 19, 2025