metadata
base_model: google/vit-base-patch16-224-in21k
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- image-classification
- vision
- generated_from_trainer
model-index:
- name: only-lora-beans-vit-base-patch16-224-in21k
results: []
only-lora-beans-vit-base-patch16-224-in21k
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: 1.1110
- Accuracy: 0.3308
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.9748 | 1.0 | 130 | 0.7215 | 0.8947 |
| 0.6849 | 2.0 | 260 | 0.4107 | 0.9474 |
| 0.4838 | 3.0 | 390 | 0.2423 | 0.9474 |
| 0.2594 | 4.0 | 520 | 0.1790 | 0.9624 |
| 0.2082 | 5.0 | 650 | 0.1915 | 0.9323 |
| 0.2159 | 6.0 | 780 | 0.3304 | 0.9098 |
| 0.5954 | 7.0 | 910 | 0.6861 | 0.6917 |
| 0.8045 | 8.0 | 1040 | 1.0408 | 0.4887 |
| 1.0506 | 9.0 | 1170 | 1.1016 | 0.3308 |
| 1.1299 | 10.0 | 1300 | 1.0935 | 0.3459 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1