plant-seedlings-freeze-0-6-aug-3-lr-decay
This model is a fine-tuned version of google/vit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.5661
- Accuracy: 0.8129
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 13
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5566 | 1.59 | 100 | 0.5549 | 0.8193 |
0.4338 | 3.17 | 200 | 0.5507 | 0.8212 |
0.4637 | 4.76 | 300 | 0.5418 | 0.8193 |
0.5061 | 6.35 | 400 | 0.5586 | 0.8139 |
0.3512 | 7.94 | 500 | 0.5550 | 0.8291 |
0.4779 | 9.52 | 600 | 0.5414 | 0.8256 |
0.449 | 11.11 | 700 | 0.5815 | 0.8055 |
0.5039 | 12.7 | 800 | 0.5661 | 0.8129 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
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