doodle_mobilenet
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the
Quick, Draw! small dataset
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: 0.0008
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4546 | 0.5688 | 5000 | 1.4383 | 0.6474 |
| 1.3759 | 1.1377 | 10000 | 1.3850 | 0.6610 |
| 1.3508 | 1.7065 | 15000 | 1.3163 | 0.6737 |
| 1.294 | 2.2753 | 20000 | 1.2832 | 0.6829 |
| 1.2811 | 2.8441 | 25000 | 1.2581 | 0.6881 |
| 1.2331 | 3.4130 | 30000 | 1.2387 | 0.6926 |
| 1.2276 | 3.9818 | 35000 | 1.2227 | 0.6978 |
| 1.1964 | 4.5506 | 40000 | 1.2196 | 0.6990 |
| 1.1498 | 5.1195 | 45000 | 1.1994 | 0.7036 |
| 1.1548 | 5.6883 | 50000 | 1.1900 | 0.7052 |
| 1.1232 | 6.2571 | 55000 | 1.1831 | 0.7075 |
| 1.1264 | 6.8259 | 60000 | 1.1695 | 0.7100 |
| 1.0896 | 7.3948 | 65000 | 1.1584 | 0.7128 |
| 1.0917 | 7.9636 | 70000 | 1.1535 | 0.7155 |
| 1.0654 | 8.5324 | 75000 | 1.1545 | 0.7144 |
| 1.0395 | 9.1013 | 80000 | 1.1471 | 0.7169 |
| 1.0383 | 9.6701 | 85000 | 1.1722 | 0.7136 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1
- Datasets 2.19.0
- Tokenizers 0.19.1
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