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hushem_40x_deit_base_n_f5
hkivancoral/hushem_40x_deit_base_n_f5
hushem_40x_deit_base_n_f5 is a image classification model from hkivancoral. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023
- SHA
- d5b20bbd
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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. -->
hushem_40x_deit_base_n_f5
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: 0.4453
- Accuracy: 0.8537
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 |
|---|---|---|---|---|
| 0.0209 | 1.0 | 110 | 0.5124 | 0.8049 |
| 0.0043 | 2.0 | 220 | 0.6220 | 0.8049 |
| 0.0003 | 3.0 | 330 | 0.5631 | 0.8293 |
| 0.0001 | 4.0 | 440 | 0.6476 | 0.8049 |
| 0.0001 | 5.0 | 550 | 0.4557 | 0.8293 |
| 0.0001 | 6.0 | 660 | 0.5177 | 0.8780 |
| 0.0001 | 7.0 | 770 | 0.4360 | 0.8780 |
| 0.0 | 8.0 | 880 | 0.4399 | 0.8780 |
| 0.0 | 9.0 | 990 | 0.4439 | 0.8537 |
| 0.0 | 10.0 | 1100 | 0.4453 | 0.8537 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Nov 4, 2023
- Updated
- Nov 4, 2023