|
--- |
|
license: apache-2.0 |
|
base_model: google/vit-base-patch16-224-in21k |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- beans |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: beans_image_classification |
|
results: |
|
- task: |
|
name: Image Classification |
|
type: image-classification |
|
dataset: |
|
name: beans |
|
type: beans |
|
config: default |
|
split: train[:500] |
|
args: default |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.96 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# beans_image_classification |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.1072 |
|
- Accuracy: 0.96 |
|
|
|
## 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: 0.001 |
|
- train_batch_size: 12 |
|
- eval_batch_size: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 48 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_ratio: 0.1 |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 0.94 | 8 | 1.3666 | 0.66 | |
|
| 0.3651 | 2.0 | 17 | 0.3823 | 0.84 | |
|
| 0.5622 | 2.94 | 25 | 0.3333 | 0.86 | |
|
| 0.3373 | 4.0 | 34 | 0.1274 | 0.97 | |
|
| 0.2055 | 4.94 | 42 | 0.1882 | 0.93 | |
|
| 0.1819 | 6.0 | 51 | 0.2265 | 0.9 | |
|
| 0.1819 | 6.94 | 59 | 0.2395 | 0.91 | |
|
| 0.2428 | 8.0 | 68 | 0.1451 | 0.97 | |
|
| 0.1305 | 8.94 | 76 | 0.1554 | 0.94 | |
|
| 0.1203 | 9.41 | 80 | 0.1705 | 0.92 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.0 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.14.5 |
|
- Tokenizers 0.14.1 |
|
|
