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yesno_1
ZON8955/yesno_1
yesno_1 is a text classification model from ZON8955. 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
- bert
- Access
- Public
- Created
- Dec 5, 2025
- Updated
- Apr 10, 2026
- SHA
- 39be02a4
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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. -->
yesno_1
This model is a fine-tuned version of bert-base-chinese on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6573
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 3 | 0.4536 |
| No log | 2.0 | 6 | 0.5818 |
| No log | 3.0 | 9 | 0.6490 |
| 0.2708 | 4.0 | 12 | 0.7047 |
| 0.2708 | 5.0 | 15 | 0.6691 |
| 0.2708 | 6.0 | 18 | 0.6418 |
| 0.1236 | 7.0 | 21 | 0.6508 |
| 0.1236 | 8.0 | 24 | 0.6695 |
| 0.1236 | 9.0 | 27 | 0.6597 |
| 0.0685 | 10.0 | 30 | 0.6573 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 5, 2025
- Updated
- Apr 10, 2026