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stldec_arch
saracandu/stldec_arch
stldec_arch is a feature extraction model from saracandu. Use it when you need embeddings to search or compare text. 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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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- mit
- Model type
- stl_decoder
- Access
- Public
- Created
- Feb 16, 2026
- Updated
- May 30, 2026
- SHA
- 0157c830
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. -->
stldec_arch
This model is a fine-tuned version of saracandu/stldec_arch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8738
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 512
- 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: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0 | 0 | 3.8917 |
| 2.7225 | 0.6483 | 100 | 2.6803 |
| 1.6189 | 1.2917 | 200 | 1.5324 |
| 0.9914 | 1.9400 | 300 | 0.9894 |
| 0.8278 | 2.5835 | 400 | 0.9311 |
| 0.7646 | 3.2269 | 500 | 0.9649 |
| 0.7273 | 3.8752 | 600 | 0.9046 |
| 0.706 | 4.5186 | 700 | 0.8855 |
| 0.6927 | 5.1621 | 800 | 0.8959 |
| 0.6813 | 5.8104 | 900 | 0.8868 |
| 0.6719 | 6.4538 | 1000 | 0.8772 |
| 0.6683 | 7.0972 | 1100 | 0.8766 |
| 0.6584 | 7.7455 | 1200 | 0.8761 |
| 0.6592 | 8.3890 | 1300 | 0.8714 |
| 0.6567 | 9.0324 | 1400 | 0.8729 |
| 0.6512 | 9.6807 | 1500 | 0.8738 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.2
- Tokenizers 0.22.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- stl_decoder
- License
- mit
- Created
- Feb 16, 2026
- Updated
- May 30, 2026