license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- beans | |
metrics: | |
- accuracy | |
model-index: | |
- name: vit_model-juan_jose_cano | |
results: | |
- task: | |
name: Image Classification | |
type: image-classification | |
dataset: | |
name: beans | |
type: beans | |
config: default | |
split: validation | |
args: default | |
metrics: | |
- name: Accuracy | |
type: accuracy | |
value: 0.9774436090225563 | |
<!-- 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_model-juan_jose_cano | |
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: 0.0810 | |
- 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: 0.0002 | |
- train_batch_size: 8 | |
- eval_batch_size: 8 | |
- seed: 42 | |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
- lr_scheduler_type: linear | |
- num_epochs: 4 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| 0.0568 | 3.85 | 500 | 0.0810 | 0.9774 | | |
### Framework versions | |
- Transformers 4.28.0 | |
- Pytorch 2.0.1+cu118 | |
- Datasets 2.12.0 | |
- Tokenizers 0.13.3 | |