metadata
library_name: transformers
license: apache-2.0
base_model: facebook/dinov2-base
tags:
- image-classification
- vision
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vit-base-beans
results: []
vit-base-beans
This model is a fine-tuned version of facebook/dinov2-base on the beans dataset. It achieves the following results on the evaluation set:
- Loss: 0.0421
- Accuracy: 0.9774
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4416 | 1.0 | 130 | 0.0421 | 0.9774 |
| 0.228 | 2.0 | 260 | 0.5107 | 0.8872 |
| 0.2485 | 3.0 | 390 | 0.1091 | 0.9549 |
| 0.2278 | 4.0 | 520 | 0.1148 | 0.9774 |
| 0.3263 | 5.0 | 650 | 0.1082 | 0.9850 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1
- Datasets 3.1.0
- Tokenizers 0.20.4