| --- |
| library_name: transformers |
| license: other |
| base_model: google/mobilenet_v2_1.0_224 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [google/mobilenet_v2_1.0_224](https://huggingface.co/google/mobilenet_v2_1.0_224) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.0019 |
| - Accuracy: 0.7151 |
|
|
| ## 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: 0.00023769336048631227 |
| - train_batch_size: 32 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.2354 | 1.0 | 1563 | 1.0944 | 0.7300 | |
| | 0.8403 | 2.0 | 3126 | 1.0387 | 0.7400 | |
| | 0.5246 | 3.0 | 4689 | 0.9588 | 0.7400 | |
| | 0.3101 | 4.0 | 6252 | 0.9053 | 0.7300 | |
| | 0.1642 | 5.0 | 7815 | 0.9296 | 0.7300 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.51.3 |
| - Pytorch 2.6.0+cu124 |
| - Datasets 3.5.1 |
| - Tokenizers 0.21.1 |
|
|
