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iw-conspir-v1
MarcoCharon/iw-conspir-v1
iw-conspir-v1 is a text classification model from MarcoCharon. 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
- distilbert
- Access
- Public
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026
- SHA
- 43947ad1
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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. -->
signalwatch-iw-conspir-v1
This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4102
- F1 Contradictory: 0.0
- F1 Overriding Suspicion: 0.7818
- F1 Nefarious Intent: 0.5259
- F1 Persecuted Victim: 0.0
- F1 Immune To Evidence: 0.0215
- F1 Reinterpreting Randomness: 0.0
- Macro F1: 0.2215
- Micro F1: 0.5864
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 Contradictory | F1 Overriding Suspicion | F1 Nefarious Intent | F1 Persecuted Victim | F1 Immune To Evidence | F1 Reinterpreting Randomness | Macro F1 | Micro F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.4103 | 1.0 | 82 | 0.4452 | 0.0 | 0.7858 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1310 | 0.5061 |
| 0.3896 | 2.0 | 164 | 0.4330 | 0.0 | 0.7858 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1310 | 0.5061 |
| 0.3461 | 3.0 | 246 | 0.4127 | 0.0 | 0.7887 | 0.5214 | 0.0 | 0.0 | 0.0 | 0.2183 | 0.5912 |
| 0.3291 | 4.0 | 328 | 0.4102 | 0.0 | 0.7818 | 0.5259 | 0.0 | 0.0215 | 0.0 | 0.2215 | 0.5864 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.10.0+cu128
- Datasets 3.0.1
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Apr 25, 2026
- Updated
- Apr 25, 2026