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tokclf_out
zeinebrekikesgi/tokclf_out
tokclf_out is a token classification model from zeinebrekikesgi. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025
- SHA
- 3f54c51f
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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. -->
tokclf_out
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: 0.0528
- Acc: 0.9829
- F1 Macro: 0.9431
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: 32
- 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
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Acc | F1 Macro |
|---|---|---|---|---|---|
| 0.0639 | 1.0 | 165 | 0.0618 | 0.9749 | 0.9148 |
| 0.0262 | 2.0 | 330 | 0.0554 | 0.9822 | 0.9393 |
| 0.0117 | 3.0 | 495 | 0.0506 | 0.9822 | 0.9412 |
| 0.0077 | 4.0 | 660 | 0.0528 | 0.9829 | 0.9431 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 12, 2025
- Updated
- Oct 12, 2025