finetune-mango-leaf
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1344
- Accuracy: 0.9996
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: 2e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
0.5168 | 1.0 | 197 | 0.4576 | 0.9820 |
0.2792 | 2.0 | 394 | 0.2460 | 0.9955 |
0.192 | 3.0 | 591 | 0.1698 | 0.9973 |
0.1888 | 4.0 | 788 | 0.1424 | 0.9987 |
0.1548 | 5.0 | 985 | 0.1344 | 0.9996 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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