Plant_Family_Classification
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: 2.4174
- Accuracy: 0.4992
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- 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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.7619 | 1.0 | 1119 | 3.7632 | 0.2800 |
| 2.9206 | 2.0 | 2238 | 2.9977 | 0.3956 |
| 2.5487 | 3.0 | 3357 | 2.6890 | 0.4473 |
| 2.1488 | 4.0 | 4476 | 2.5419 | 0.4688 |
| 2.0297 | 5.0 | 5595 | 2.4631 | 0.4888 |
| 1.9811 | 6.0 | 6714 | 2.4174 | 0.4992 |
Framework versions
- Transformers 4.43.3
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for n1hal/Plant_Family_Classification
Base model
google/vit-base-patch16-224-in21k