metadata
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- image-classification
- generated_from_trainer
model-index:
- name: ryan_model314_3
results: []
ryan_model314_3
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.2547
- Na Accuracy: 0.95
- Ordinal Mae: 1.2090
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Na Accuracy | Ordinal Mae |
|---|---|---|---|---|---|
| 0.4505 | 0.2 | 25 | 0.4262 | 0.9 | 1.0092 |
| 0.3847 | 0.4 | 50 | 0.3676 | 0.935 | 1.3719 |
| 0.3061 | 0.6 | 75 | 0.3262 | 0.945 | 0.7486 |
| 0.2744 | 0.8 | 100 | 0.3524 | 0.905 | 1.1408 |
| 0.2384 | 1.0 | 125 | 0.3611 | 0.93 | 0.6747 |
| 0.2021 | 1.2 | 150 | 0.3105 | 0.95 | 1.0441 |
| 0.2234 | 1.4 | 175 | 0.2738 | 0.955 | 1.4168 |
| 0.187 | 1.6 | 200 | 0.2688 | 0.955 | 1.3653 |
| 0.2008 | 1.8 | 225 | 0.2669 | 0.96 | 0.8936 |
| 0.1541 | 2.0 | 250 | 0.2547 | 0.95 | 1.2090 |
| 0.1201 | 2.2 | 275 | 0.2725 | 0.95 | 0.7955 |
| 0.113 | 2.4 | 300 | 0.2818 | 0.955 | 1.2378 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2