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---
license: apache-2.0
base_model: facebook/deit-tiny-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: Boya1_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold1
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: test
args: default
metrics:
- name: Accuracy
type: accuracy
value: 0.3950583763236492
---
<!-- 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. -->
# Boya1_SGD_1-e3_20Epoch_Deit-tiny-patch16_fold1
This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8160
- Accuracy: 0.3951
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 2.4438 | 1.0 | 924 | 2.4927 | 0.1898 |
| 2.3969 | 2.0 | 1848 | 2.3384 | 0.2389 |
| 2.2609 | 3.0 | 2772 | 2.2168 | 0.2878 |
| 2.0421 | 4.0 | 3696 | 2.1285 | 0.3068 |
| 2.0227 | 5.0 | 4620 | 2.0634 | 0.3296 |
| 1.99 | 6.0 | 5544 | 2.0084 | 0.3397 |
| 1.9954 | 7.0 | 6468 | 1.9664 | 0.3549 |
| 2.0727 | 8.0 | 7392 | 1.9354 | 0.3652 |
| 2.0158 | 9.0 | 8316 | 1.9072 | 0.3704 |
| 1.8488 | 10.0 | 9240 | 1.8880 | 0.3750 |
| 1.8985 | 11.0 | 10164 | 1.8721 | 0.3790 |
| 1.7309 | 12.0 | 11088 | 1.8576 | 0.3812 |
| 1.8129 | 13.0 | 12012 | 1.8465 | 0.3899 |
| 1.7599 | 14.0 | 12936 | 1.8384 | 0.3866 |
| 1.7902 | 15.0 | 13860 | 1.8309 | 0.3894 |
| 1.7502 | 16.0 | 14784 | 1.8250 | 0.3932 |
| 1.7034 | 17.0 | 15708 | 1.8221 | 0.3934 |
| 1.8587 | 18.0 | 16632 | 1.8187 | 0.3940 |
| 1.8137 | 19.0 | 17556 | 1.8165 | 0.3942 |
| 1.9039 | 20.0 | 18480 | 1.8160 | 0.3951 |
### Framework versions
- Transformers 4.40.1
- Pytorch 2.1.0
- Datasets 2.19.0
- Tokenizers 0.19.1
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