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STL-FullFineT-mt5-base-stance
tadiecool29/STL-FullFineT-mt5-base-stance
STL-FullFineT-mt5-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 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
- mt5
- Access
- Public
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026
- SHA
- 37a44a9c
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-FullFineT-mt5-base-stance
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9215
- Accuracy: 0.6633
- Macro F1: 0.6699
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|---|---|---|---|---|---|
| 14.1980 | 1.0 | 189 | 3.7765 | 0.2893 | 0.0944 |
| 3.0631 | 2.0 | 378 | 2.4028 | 0.2818 | 0.1985 |
| 2.1566 | 3.0 | 567 | 1.9746 | 0.6209 | 0.6253 |
| 2.0705 | 4.0 | 756 | 1.9297 | 0.6434 | 0.6525 |
| 2.0367 | 5.0 | 945 | 1.9379 | 0.6421 | 0.6469 |
| 2.0202 | 6.0 | 1134 | 1.9292 | 0.6559 | 0.6622 |
| 2.0011 | 7.0 | 1323 | 1.9187 | 0.6646 | 0.6735 |
| 1.9914 | 8.0 | 1512 | 1.9235 | 0.6683 | 0.6741 |
| 2.0262 | 9.0 | 1701 | 1.9210 | 0.6696 | 0.6761 |
| 1.9944 | 10.0 | 1890 | 1.9215 | 0.6633 | 0.6699 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Sep 24, 2026
- Updated
- Sep 24, 2026