mobilenet_v2_1.0_224-finetuned-galaxy10-decals
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on the matthieulel/galaxy10_decals dataset. It achieves the following results on the evaluation set:
- Loss: 2.0862
- Accuracy: 0.2448
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9291 | 0.9978 | 112 | 2.0862 | 0.2448 |
Framework versions
- Transformers 4.40.1
- Pytorch 1.12.1+cu116
- Datasets 2.19.0
- Tokenizers 0.19.1
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Base model
google/mobilenet_v2_1.0_224