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autoencoder-robust-demo
amaye15/autoencoder-robust-demo
autoencoder-robust-demo is a feature extraction model from amaye15. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- autoencoder
- Access
- Public
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025
- SHA
- 767a7898
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. -->
autoencoder-robust-demo
This model is a fine-tuned version of on an unknown dataset.
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: 0.001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use 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: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 1.5616 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Feature Extraction
- Library
- transformers
- Type
- autoencoder
- Created
- Aug 20, 2025
- Updated
- Aug 20, 2025