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xlmr-stl-large-stance
tadiecool29/xlmr-stl-large-stance
xlmr-stl-large-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 27, 2026
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At a glance
- Library
- transformers
- License
- mit
- Access
- Public
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026
- SHA
- 8e6a6190
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. -->
xlmr-stl-large-stance
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7247
- Sentiment Precision: 0.7872
- Sentiment Recall: 0.7820
- F1: 0.7835
- Sentiment Acc: 0.7771
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: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Sentiment Precision | Sentiment Recall | F1 | Sentiment Acc |
|---|---|---|---|---|---|---|---|
| 0.8610 | 1.0 | 402 | 0.7732 | 0.7187 | 0.7322 | 0.7079 | 0.7082 |
| 0.6734 | 2.0 | 804 | 0.6517 | 0.7690 | 0.7701 | 0.7668 | 0.7606 |
| 0.5787 | 3.0 | 1206 | 0.5644 | 0.7961 | 0.7899 | 0.7912 | 0.7830 |
| 0.4551 | 4.0 | 1608 | 0.6133 | 0.8040 | 0.7800 | 0.7892 | 0.7793 |
| 0.3132 | 5.0 | 2010 | 0.6640 | 0.8068 | 0.8091 | 0.8071 | 0.8005 |
| 0.2984 | 6.0 | 2412 | 0.6880 | 0.8092 | 0.8074 | 0.8077 | 0.8005 |
Framework versions
- Transformers 5.15.0
- Pytorch 2.11.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- License
- mit
- Created
- Aug 27, 2026
- Updated
- Aug 27, 2026