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USS-reward-model-baseline_l1
athirorg/USS-reward-model-baseline_l1
USS-reward-model-baseline_l1 is a machine learning model from athirorg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- modernbert
- Access
- Public
- Created
- May 27, 2026
- Updated
- May 27, 2026
- SHA
- b8e0803c
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. -->
USS-reward-model-baseline_l1
This model is a fine-tuned version of answerdotai/ModernBERT-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1565
- Mse: 0.1842
- Mae: 0.3174
- R2: 0.0451
- Spearman Correlation: 0.2187
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: 2
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 | Spearman Correlation |
|---|---|---|---|---|---|---|---|
| 3.3516 | 1.0 | 97 | 0.1584 | 0.1863 | 0.3310 | 0.0343 | nan |
| 1.8064 | 2.0 | 194 | 0.2139 | 0.2374 | 0.4358 | -0.2306 | 0.1389 |
| 1.4958 | 3.0 | 291 | 0.1842 | 0.2079 | 0.3739 | -0.0777 | 0.1741 |
| 1.1016 | 4.0 | 388 | 0.1668 | 0.1920 | 0.3385 | 0.0048 | 0.2140 |
| 0.7270 | 5.0 | 485 | 0.1574 | 0.1897 | 0.3120 | 0.0163 | 0.1857 |
| 0.4099 | 6.0 | 582 | 0.1947 | 0.2221 | 0.3877 | -0.1517 | 0.2582 |
| 0.2262 | 7.0 | 679 | 0.1598 | 0.1982 | 0.3105 | -0.0275 | 0.2665 |
| 0.1335 | 8.0 | 776 | 0.1585 | 0.1877 | 0.3180 | 0.0271 | 0.1926 |
| 0.0647 | 9.0 | 873 | 0.1563 | 0.1843 | 0.3170 | 0.0444 | 0.1971 |
| 0.0282 | 10.0 | 970 | 0.1565 | 0.1842 | 0.3174 | 0.0451 | 0.2187 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.12.0+cu130
- Datasets 4.8.5
- Tokenizers 0.22.2
- Library
- transformers
- Type
- modernbert
- License
- apache-2.0
- Created
- May 27, 2026
- Updated
- May 27, 2026