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test-trainer
XiaPinJohnKe/test-trainer
test-trainer is a text classification model from XiaPinJohnKe. 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
- Nov 26, 2025
- Updated
- Nov 28, 2025
- SHA
- 22b554c4
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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. -->
test-trainer
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5037
- Accuracy: 0.7794
- F1: 0.8534
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: 1.5e-06
- train_batch_size: 32
- 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: 12.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.8051 | 0.8696 | 100 | 0.6291 | 0.6838 | 0.8122 |
| 0.6129 | 1.7391 | 200 | 0.5857 | 0.6912 | 0.8158 |
| 0.587 | 2.6087 | 300 | 0.5586 | 0.7034 | 0.8207 |
| 0.5516 | 3.4783 | 400 | 0.5361 | 0.7132 | 0.8235 |
| 0.5423 | 4.3478 | 500 | 0.5208 | 0.7279 | 0.8290 |
| 0.5153 | 5.2174 | 600 | 0.5096 | 0.7451 | 0.8344 |
| 0.4977 | 6.0870 | 700 | 0.5098 | 0.75 | 0.8376 |
| 0.4968 | 6.9565 | 800 | 0.5057 | 0.7574 | 0.8411 |
| 0.4818 | 7.8261 | 900 | 0.5051 | 0.7647 | 0.8452 |
| 0.4719 | 8.6957 | 1000 | 0.5031 | 0.7770 | 0.8520 |
| 0.4674 | 9.5652 | 1100 | 0.5046 | 0.7794 | 0.8539 |
| 0.4624 | 10.4348 | 1200 | 0.5033 | 0.7794 | 0.8534 |
| 0.4555 | 11.3043 | 1300 | 0.5037 | 0.7794 | 0.8534 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Nov 26, 2025
- Updated
- Nov 28, 2025