Train-Augmentation-mobilenet-v2
This model is a fine-tuned version of google/mobilenet_v2_1.4_224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2228
- Accuracy: 0.6206
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.546 | 0.99 | 93 | 1.5638 | 0.5020 |
| 0.7642 | 2.0 | 187 | 1.6707 | 0.4466 |
| 0.5713 | 2.99 | 280 | 1.5439 | 0.4822 |
| 0.456 | 4.0 | 374 | 1.3120 | 0.5968 |
| 0.3723 | 4.99 | 467 | 0.9863 | 0.6877 |
| 0.2825 | 6.0 | 561 | 1.4513 | 0.5257 |
| 0.2637 | 6.99 | 654 | 1.2236 | 0.6443 |
| 0.1945 | 8.0 | 748 | 1.2310 | 0.5929 |
| 0.198 | 8.99 | 841 | 1.7762 | 0.4862 |
| 0.1494 | 9.95 | 930 | 1.2228 | 0.6206 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.15.2
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Base model
google/mobilenet_v2_1.4_224