metadata
license: apache-2.0
base_model: vuongnhathien/SwinV2-30VNFood
tags:
- image-classification
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: edit-training-arg
results: []
edit-training-arg
This model is a fine-tuned version of vuongnhathien/SwinV2-30VNFood on the jbarat/plant_species dataset. It achieves the following results on the evaluation set:
- Loss: 1.3643
- Accuracy: 0.5875
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: 0.0005
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 10 | 0.7014 | 0.7375 |
| No log | 2.0 | 20 | 0.5727 | 0.75 |
| No log | 3.0 | 30 | 0.7431 | 0.7875 |
| No log | 4.0 | 40 | 0.7550 | 0.7875 |
| No log | 5.0 | 50 | 0.6643 | 0.7875 |
| No log | 6.0 | 60 | 0.6035 | 0.8625 |
| No log | 7.0 | 70 | 0.8655 | 0.8375 |
| No log | 8.0 | 80 | 0.7624 | 0.825 |
| No log | 9.0 | 90 | 0.6606 | 0.85 |
| 0.2933 | 10.0 | 100 | 0.6476 | 0.85 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2