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STL-amroberta-stance
tadiecool29/STL-amroberta-stance
STL-amroberta-stance is a machine learning model from tadiecool29. 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 mit.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Aug 31, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Aug 31, 2026
- Updated
- Aug 31, 2026
- SHA
- fe60191e
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. -->
STL-amroberta-stance
This model is a fine-tuned version of uhhlt/am-roberta on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0139
- Stance Precision: 0.7426
- Stance Recall: 0.7290
- F1: 0.7338
- Stance Acc: 0.7232
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-05
- train_batch_size: 16
- eval_batch_size: 32
- 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: cosine
- lr_scheduler_warmup_steps: 300
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Stance Precision | Stance Recall | F1 | Stance Acc |
|---|---|---|---|---|---|---|---|
| 0.8332 | 1.0 | 377 | 0.8028 | 0.6791 | 0.6922 | 0.6806 | 0.6733 |
| 0.6264 | 2.0 | 754 | 0.7140 | 0.7329 | 0.7236 | 0.7274 | 0.7170 |
| 0.5111 | 3.0 | 1131 | 0.7143 | 0.7485 | 0.7392 | 0.7432 | 0.7319 |
| 0.3706 | 4.0 | 1508 | 0.7524 | 0.7406 | 0.7323 | 0.7360 | 0.7244 |
| 0.2877 | 5.0 | 1885 | 0.8264 | 0.7532 | 0.7439 | 0.7470 | 0.7369 |
| 0.2160 | 6.0 | 2262 | 0.8963 | 0.7392 | 0.7300 | 0.7327 | 0.7232 |
| 0.1451 | 7.0 | 2639 | 0.9639 | 0.7515 | 0.7287 | 0.7377 | 0.7257 |
| 0.1333 | 8.0 | 3016 | 1.0139 | 0.7426 | 0.7290 | 0.7338 | 0.7232 |
Framework versions
- Transformers 5.15.1
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- mit
- Created
- Aug 31, 2026
- Updated
- Aug 31, 2026