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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distill-beans-vit-224-to-mobile-net-v2
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# distill-beans-vit-224-to-mobile-net-v2
This model is a fine-tuned version of [](https://huggingface.co/) on the beans dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4668
- Accuracy: 0.68
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.8218 | 1.0 | 25 | 0.5615 | 0.66 |
| 0.6374 | 2.0 | 50 | 0.4880 | 0.67 |
| 0.5718 | 3.0 | 75 | 0.4668 | 0.68 |
| 0.5584 | 4.0 | 100 | 0.4422 | 0.68 |
| 0.5034 | 5.0 | 125 | 0.4489 | 0.68 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.15.0
- Tokenizers 0.15.0
|