| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: bert-base-chinese |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: classification_v4 |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # classification_v4 |
| |
| This model is a fine-tuned version of [bert-base-chinese](https://huggingface.co/bert-base-chinese) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0438 |
| |
| ## 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 | 5 | 0.9302 | |
| | 6.6577 | 2.0 | 10 | 0.6506 | |
| | 6.6577 | 3.0 | 15 | 0.4304 | |
| | 3.7074 | 4.0 | 20 | 0.2966 | |
| | 3.7074 | 5.0 | 25 | 0.2045 | |
| | 1.8157 | 6.0 | 30 | 0.1249 | |
| | 1.8157 | 7.0 | 35 | 0.0834 | |
| | 0.8190 | 8.0 | 40 | 0.0598 | |
| | 0.8190 | 9.0 | 45 | 0.0478 | |
| | 0.4603 | 10.0 | 50 | 0.0438 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
|
|
