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convnextv2-tiny-1k-224-finetuned-hand-final
ksukrit/convnextv2-tiny-1k-224-finetuned-hand-final
convnextv2-tiny-1k-224-finetuned-hand-final is a image classification model from ksukrit. 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
- convnextv2
- Access
- Public
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023
- SHA
- 61264f75
Base models
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. -->
convnextv2-tiny-1k-224-finetuned-hand-final
This model is a fine-tuned version of facebook/convnextv2-tiny-1k-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6638
- Accuracy: 0.7563
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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6669 | 1.0 | 14 | 0.6050 | 0.6834 |
| 0.5796 | 2.0 | 28 | 0.5599 | 0.7362 |
| 0.5417 | 3.0 | 42 | 0.5486 | 0.7437 |
| 0.5466 | 4.0 | 56 | 0.5528 | 0.7387 |
| 0.5213 | 5.0 | 70 | 0.5673 | 0.7462 |
| 0.493 | 6.0 | 84 | 0.5432 | 0.7613 |
| 0.5051 | 7.0 | 98 | 0.5457 | 0.7513 |
| 0.4656 | 8.0 | 112 | 0.5444 | 0.7563 |
| 0.4399 | 9.0 | 126 | 0.5430 | 0.7613 |
| 0.4213 | 10.0 | 140 | 0.5507 | 0.7613 |
| 0.4118 | 11.0 | 154 | 0.5619 | 0.7538 |
| 0.4015 | 12.0 | 168 | 0.5383 | 0.7513 |
| 0.3785 | 13.0 | 182 | 0.5567 | 0.7563 |
| 0.3487 | 14.0 | 196 | 0.5972 | 0.7462 |
| 0.3401 | 15.0 | 210 | 0.6059 | 0.7462 |
| 0.3215 | 16.0 | 224 | 0.6051 | 0.7563 |
| 0.3171 | 17.0 | 238 | 0.6228 | 0.7513 |
| 0.2971 | 18.0 | 252 | 0.6529 | 0.7563 |
| 0.3111 | 19.0 | 266 | 0.6309 | 0.7588 |
| 0.2722 | 20.0 | 280 | 0.6444 | 0.7588 |
| 0.2677 | 21.0 | 294 | 0.6373 | 0.7588 |
| 0.2721 | 22.0 | 308 | 0.6393 | 0.7538 |
| 0.2694 | 23.0 | 322 | 0.6382 | 0.7613 |
| 0.2731 | 24.0 | 336 | 0.6543 | 0.7613 |
| 0.257 | 25.0 | 350 | 0.6638 | 0.7563 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- convnextv2
- License
- apache-2.0
- Created
- Nov 3, 2023
- Updated
- Nov 3, 2023