metadata
library_name: transformers
license: other
base_model: google/mobilenet_v2_1.0_224
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
results: []
results
This model is a fine-tuned version of 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 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1