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plant-seedlings-model-ConvNet
carolinetfls/plant-seedlings-model-ConvNet
plant-seedlings-model-ConvNet is a image classification model from carolinetfls. 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
- convnext
- Access
- Public
- Created
- Apr 15, 2023
- Updated
- Apr 15, 2023
- SHA
- 523f71d7
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. -->
plant-seedlings-model-ConvNet
This model is a fine-tuned version of facebook/convnext-tiny-224 on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.2410
- Accuracy: 0.9522
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: 0.0002
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.494 | 0.8 | 100 | 0.4274 | 0.8828 |
| 0.246 | 1.6 | 200 | 0.2878 | 0.8930 |
| 0.1042 | 2.4 | 300 | 0.2227 | 0.9172 |
| 0.0174 | 3.2 | 400 | 0.2208 | 0.9299 |
| 0.0088 | 4.0 | 500 | 0.3197 | 0.9185 |
| 0.0078 | 4.8 | 600 | 0.2555 | 0.9357 |
| 0.0013 | 5.6 | 700 | 0.2599 | 0.9427 |
| 0.0068 | 6.4 | 800 | 0.3072 | 0.9312 |
| 0.0007 | 7.2 | 900 | 0.2217 | 0.9484 |
| 0.0004 | 8.0 | 1000 | 0.2551 | 0.9401 |
| 0.0003 | 8.8 | 1100 | 0.2321 | 0.9478 |
| 0.0002 | 9.6 | 1200 | 0.2329 | 0.9484 |
| 0.0002 | 10.4 | 1300 | 0.2322 | 0.9478 |
| 0.0002 | 11.2 | 1400 | 0.2342 | 0.9478 |
| 0.0002 | 12.0 | 1500 | 0.2348 | 0.9490 |
| 0.0001 | 12.8 | 1600 | 0.2358 | 0.9490 |
| 0.0001 | 13.6 | 1700 | 0.2368 | 0.9497 |
| 0.0001 | 14.4 | 1800 | 0.2377 | 0.9510 |
| 0.0001 | 15.2 | 1900 | 0.2384 | 0.9516 |
| 0.0001 | 16.0 | 2000 | 0.2391 | 0.9516 |
| 0.0001 | 16.8 | 2100 | 0.2397 | 0.9522 |
| 0.0001 | 17.6 | 2200 | 0.2401 | 0.9522 |
| 0.0001 | 18.4 | 2300 | 0.2406 | 0.9522 |
| 0.0001 | 19.2 | 2400 | 0.2409 | 0.9522 |
| 0.0001 | 20.0 | 2500 | 0.2410 | 0.9522 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Image Classification
- Library
- transformers
- Type
- convnext
- License
- apache-2.0
- Created
- Apr 15, 2023
- Updated
- Apr 15, 2023