|
--- |
|
tags: |
|
- image-classification |
|
metrics: |
|
- accuracy |
|
|
|
model-index: |
|
- name: vit-base-patch16-224-in21k-image-classification-sagemaker |
|
--- |
|
|
|
<!-- 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-base-patch16-224-in21k-image-classification-sagemaker |
|
|
|
This model is a fine-tuned version of [vit-base-patch16-224-in21k](https://huggingface.co/vit-base-patch16-224-in21k) on the cifar10 dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3033 |
|
- Accuracy: 0.972 |
|
|
|
## 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: 16 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 500 |
|
- num_epochs: 3 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 313 | 1.4603 | 0.936 | |
|
| 1.6548 | 2.0 | 626 | 0.4451 | 0.966 | |
|
| 1.6548 | 3.0 | 939 | 0.3033 | 0.972 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.6.1 |
|
- Pytorch 1.7.1 |
|
- Datasets 1.6.2 |
|
- Tokenizers 0.10.3 |
|
|
