metadata
library_name: transformers
license: apache-2.0
base_model: google/efficientnet-b0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: business_license_clf
results: []
business_license_clf
This model is a fine-tuned version of google/efficientnet-b0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2543
- Accuracy: 0.9425
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 6 | 0.5419 | 0.7931 |
| 0.47 | 2.0 | 12 | 0.4657 | 0.8506 |
| 0.47 | 3.0 | 18 | 0.5015 | 0.8736 |
| 0.4071 | 4.0 | 24 | 0.3715 | 0.8851 |
| 0.3631 | 5.0 | 30 | 0.4023 | 0.8851 |
| 0.3631 | 6.0 | 36 | 0.3669 | 0.8391 |
| 0.3127 | 7.0 | 42 | 0.3105 | 0.9080 |
| 0.3127 | 8.0 | 48 | 0.2646 | 0.9195 |
| 0.2781 | 9.0 | 54 | 0.2885 | 0.9310 |
| 0.2927 | 10.0 | 60 | 0.2543 | 0.9425 |
Framework versions
- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0