|
--- |
|
base_model: google/vit-base-patch16-224 |
|
library_name: transformers |
|
license: apache-2.0 |
|
metrics: |
|
- accuracy |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: vit-plant-classification |
|
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. --> |
|
|
|
# vit-plant-classification |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0182 |
|
- Accuracy: 0.9933 |
|
|
|
## 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: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.0529 | 1.0 | 476 | 0.0660 | 0.9816 | |
|
| 0.0609 | 2.0 | 952 | 0.0229 | 0.9939 | |
|
| 0.0012 | 3.0 | 1428 | 0.0205 | 0.9951 | |
|
| 0.0007 | 4.0 | 1904 | 0.0126 | 0.9969 | |
|
| 0.0006 | 5.0 | 2380 | 0.0122 | 0.9969 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.45.1 |
|
- Pytorch 2.4.0 |
|
- Datasets 3.0.1 |
|
- Tokenizers 0.20.0 |
|
|
