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ai_art_exp3_mobilenetv2
sj21867/ai_art_exp3_mobilenetv2
ai_art_exp3_mobilenetv2 is a image classification model from sj21867. Use it when you need a label for an image. It is set up for transformers. The card lists the license as other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- License
- other
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024
- SHA
- 242083de
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. -->
ai_art_exp3_mobilenetv2
This model is a fine-tuned version of google/mobilenet_v2_1.0_224 on an unknown dataset. It achieves the following results on the evaluation set:
- Accuracy: {'accuracy': 0.65}
- Loss: 0.8813
- Overall Accuracy: 0.65
- Human Accuracy: 0.34
- Ld Accuracy: 0.84
- Sd Accuracy: 0.77
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: 1
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss | Overall Accuracy | Human Accuracy | Ld Accuracy | Sd Accuracy |
|---|---|---|---|---|---|---|---|---|
| 1.0707 | 0.96 | 18 | {'accuracy': 0.6333333333333333} | 0.8947 | 0.6333 | 0.3426 | 0.8485 | 0.7419 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- License
- other
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024