|
--- |
|
license: apache-2.0 |
|
base_model: facebook/deit-base-patch16-224 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imagefolder |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: smids_deit_base_f1 |
|
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: 0.8747913188647746 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# smids_deit_base_f1 |
|
|
|
This model is a fine-tuned version of [facebook/deit-base-patch16-224](https://huggingface.co/facebook/deit-base-patch16-224) on the imagefolder dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4898 |
|
- Accuracy: 0.8748 |
|
|
|
## 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: 16 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 4 |
|
- total_train_batch_size: 64 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| 0.3398 | 1.0 | 375 | 0.4288 | 0.8164 | |
|
| 0.2944 | 2.0 | 750 | 0.4228 | 0.8297 | |
|
| 0.1957 | 3.0 | 1125 | 0.4014 | 0.8497 | |
|
| 0.176 | 4.0 | 1501 | 0.4565 | 0.8514 | |
|
| 0.1333 | 5.0 | 1876 | 0.3698 | 0.8731 | |
|
| 0.1322 | 6.0 | 2251 | 0.5002 | 0.8481 | |
|
| 0.0952 | 7.0 | 2626 | 0.4711 | 0.8648 | |
|
| 0.0941 | 8.0 | 3002 | 0.4872 | 0.8698 | |
|
| 0.0946 | 9.0 | 3377 | 0.5003 | 0.8564 | |
|
| 0.0911 | 9.99 | 3750 | 0.4898 | 0.8748 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.32.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.2 |
|
|
