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electra-small-touche-enhanced-binary
heavyhelium/electra-small-touche-enhanced-binary
electra-small-touche-enhanced-binary is a text classification model from heavyhelium. Use it when you need a label for a piece of text. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- electra
- Access
- Public
- Created
- May 27, 2026
- Updated
- May 27, 2026
- SHA
- 748dbc5a
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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. -->
electra-small-touche-enhanced-binary
This model is a fine-tuned version of google/electra-small-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4399
- Accuracy: 0.84
- Macro F1: 0.8399
- Fallacy F1: 0.8431
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 64
- 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: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 | Fallacy F1 |
|---|---|---|---|---|---|---|
| 0.6932 | 1.0 | 47 | 0.6806 | 0.65 | 0.6154 | 0.7308 |
| 0.6157 | 2.0 | 94 | 0.5881 | 0.77 | 0.7696 | 0.7604 |
| 0.4868 | 3.0 | 141 | 0.4984 | 0.82 | 0.8200 | 0.8182 |
| 0.4092 | 4.0 | 188 | 0.4598 | 0.81 | 0.8093 | 0.8208 |
| 0.3715 | 5.0 | 235 | 0.4399 | 0.84 | 0.8399 | 0.8431 |
Framework versions
- Transformers 5.9.0
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- electra
- License
- apache-2.0
- Created
- May 27, 2026
- Updated
- May 27, 2026