metadata
license: apache-2.0
base_model: facebook/deit-base-patch16-224
tags:
- generated_from_trainer
datasets:
- imagefolder
metrics:
- accuracy
model-index:
- name: model
results:
- task:
name: Image Classification
type: image-classification
dataset:
name: imagefolder
type: imagefolder
config: default
split: train
args: default
metrics:
- name: Accuracy
type: accuracy
value: 1
library_name: transformers
model
This model is a fine-tuned version of facebook/deit-base-patch16-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 1.0
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: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.322 | 1.0 | 138 | 0.0291 | 0.99 |
| 0.0225 | 2.0 | 276 | 0.0040 | 1.0 |
| 0.012 | 3.0 | 414 | 0.0005 | 1.0 |
| 0.0022 | 4.0 | 552 | 0.0002 | 1.0 |
| 0.0008 | 5.0 | 690 | 0.0016 | 1.0 |
| 0.0 | 6.0 | 828 | 0.0006 | 1.0 |
| 0.0 | 7.0 | 966 | 0.0004 | 1.0 |
| 0.0 | 8.0 | 1104 | 0.0003 | 1.0 |
| 0.0 | 9.0 | 1242 | 0.0003 | 1.0 |
| 0.0 | 10.0 | 1380 | 0.0003 | 1.0 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1