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STL-afroxlmr-base-stance
tadiecool29/STL-afroxlmr-base-stance
STL-afroxlmr-base-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
- 994ac62a
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-afroxlmr-base-stance
This model is a fine-tuned version of Davlan/afro-xlmr-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9352
- Stance Precision: 0.7596
- Stance Recall: 0.7595
- F1: 0.7592
- Stance Acc: 0.7506
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 |
|---|---|---|---|---|---|---|---|
| 0.8876 | 1.0 | 377 | 0.7709 | 0.7071 | 0.7115 | 0.7080 | 0.6995 |
| 0.6480 | 2.0 | 754 | 0.6859 | 0.7443 | 0.7520 | 0.7469 | 0.7406 |
| 0.5776 | 3.0 | 1131 | 0.6810 | 0.7553 | 0.7518 | 0.7518 | 0.7444 |
| 0.4660 | 4.0 | 1508 | 0.7406 | 0.7652 | 0.7461 | 0.7515 | 0.7419 |
| 0.3414 | 5.0 | 1885 | 0.7764 | 0.7514 | 0.7669 | 0.7560 | 0.7506 |
| 0.3206 | 6.0 | 2262 | 0.8319 | 0.7585 | 0.7625 | 0.7599 | 0.7519 |
| 0.2374 | 7.0 | 2639 | 0.8981 | 0.7601 | 0.7527 | 0.7549 | 0.7456 |
| 0.2484 | 8.0 | 3016 | 0.9228 | 0.7512 | 0.7522 | 0.7512 | 0.7431 |
| 0.1907 | 9.0 | 3393 | 0.9352 | 0.7596 | 0.7595 | 0.7592 | 0.7506 |
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