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orm-big-math-digits-v2-correctness
mehuldamani/orm-big-math-digits-v2-correctness
orm-big-math-digits-v2-correctness is a text classification model from mehuldamani. 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
- qwen2
- Access
- Public
- Created
- Jul 8, 2025
- Updated
- Jul 8, 2025
- SHA
- 74915db8
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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. -->
orm-big-math-digits-v2-correctness
This model is a fine-tuned version of Qwen/Qwen2.5-7B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4828
- Accuracy: 0.768
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: 5e-06
- train_batch_size: 1
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 64
- 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
- lr_scheduler_warmup_ratio: 0.05
- training_steps: 300
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.5622 | 0.08 | 25 | 0.5628 | 0.717 |
| 0.4747 | 0.16 | 50 | 0.5106 | 0.747 |
| 0.4651 | 0.24 | 75 | 0.5284 | 0.73 |
| 0.4415 | 0.32 | 100 | 0.5070 | 0.755 |
| 0.4442 | 0.4 | 125 | 0.4878 | 0.76 |
| 0.4253 | 0.48 | 150 | 0.4866 | 0.757 |
| 0.4829 | 0.56 | 175 | 0.5158 | 0.741 |
| 0.4456 | 0.64 | 200 | 0.4799 | 0.76 |
| 0.4249 | 0.72 | 225 | 0.4830 | 0.766 |
| 0.4527 | 0.8 | 250 | 0.4816 | 0.764 |
| 0.4169 | 0.88 | 275 | 0.4833 | 0.763 |
| 0.4743 | 0.96 | 300 | 0.4828 | 0.768 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- qwen2
- License
- apache-2.0
- Created
- Jul 8, 2025
- Updated
- Jul 8, 2025