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xlmr-MTL-large-stance
tadiecool29/xlmr-MTL-large-stance
xlmr-MTL-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
- 56699825
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-MTL-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: 1.2355
- Stance F1: 0.7897
- Sentiment F1: 0.7506
- F1: 0.7701
- Stance Acc: 0.7818
- Sentiment Acc: 0.7544
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 | Stance F1 | Sentiment F1 | F1 | Stance Acc | Sentiment Acc |
|---|---|---|---|---|---|---|---|---|
| 1.8018 | 1.0 | 402 | 1.5712 | 0.6821 | 0.6904 | 0.6862 | 0.6783 | 0.6970 |
| 1.4856 | 2.0 | 804 | 1.3179 | 0.7462 | 0.7146 | 0.7304 | 0.7406 | 0.7207 |
| 1.2179 | 3.0 | 1206 | 1.2549 | 0.7839 | 0.7214 | 0.7526 | 0.7768 | 0.7357 |
| 0.9804 | 4.0 | 1608 | 1.2400 | 0.7937 | 0.7279 | 0.7608 | 0.7855 | 0.7332 |
| 0.8590 | 5.0 | 2010 | 1.2288 | 0.7942 | 0.7439 | 0.7691 | 0.7880 | 0.7481 |
| 0.8033 | 6.0 | 2412 | 1.2355 | 0.7897 | 0.7506 | 0.7701 | 0.7818 | 0.7544 |
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