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results
sezer12138/results
results is a image classification model from sezer12138. 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
- swinv2
- Access
- Public
- Created
- Jul 17, 2023
- Updated
- Jul 18, 2023
- SHA
- 31e478d6
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. -->
results
This model is a fine-tuned version of microsoft/swinv2-large-patch4-window12-192-22k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5248
- Accuracy: 0.6505
Model description
On ADE20K Dataset, do image classification.
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.8495 | 1.0 | 158 | 2.3313 | 0.5525 |
| 1.8825 | 2.0 | 316 | 1.6815 | 0.623 |
| 1.4956 | 3.0 | 474 | 1.5248 | 0.6505 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2
- Task
- Image Classification
- Library
- transformers
- Type
- swinv2
- License
- apache-2.0
- Created
- Jul 17, 2023
- Updated
- Jul 18, 2023