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huawei-noah_TinyBERT_General_4L_312D_train_v2
OliverHeine/huawei-noah_TinyBERT_General_4L_312D_train_v2
huawei-noah_TinyBERT_General_4L_312D_train_v2 is a text classification model from OliverHeine. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026
- SHA
- ff6db8db
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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. -->
huawei-noah_TinyBERT_General_4L_312D_train_v2
This model is a fine-tuned version of huawei-noah/TinyBERT_General_4L_312D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1359
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.1832 | 1.0 | 16723 | 0.1427 |
| 0.1115 | 2.0 | 33446 | 0.1392 |
| 0.1118 | 3.0 | 50169 | 0.1359 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Mar 9, 2026
- Updated
- Mar 9, 2026