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: 1.8956
- 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 |
|---|---|---|---|---|
| 1.0208 | 1.0 | 130 | 0.8931 | 0.8045 |
| 0.8683 | 2.0 | 260 | 0.6855 | 0.8797 |
| 0.7297 | 3.0 | 390 | 0.5009 | 0.9023 |
| 0.4881 | 4.0 | 520 | 0.3685 | 0.9323 |
| 0.3733 | 5.0 | 650 | 0.3044 | 0.8872 |
| 0.3229 | 6.0 | 780 | 0.3874 | 0.8647 |
| 0.5796 | 7.0 | 910 | 0.7966 | 0.5940 |
| 0.765 | 8.0 | 1040 | 0.9422 | 0.5263 |
| 1.0732 | 9.0 | 1170 | 1.0904 | 0.3308 |
| 1.1643 | 10.0 | 1300 | 1.0774 | 0.4135 |
Framework versions
- PEFT 0.12.1.dev0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1