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gemini-beauty
Aruno/gemini-beauty
gemini-beauty is a image classification model from Aruno. Use it when you need a label for an image. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Image Classification
- Library
- transformers
- Model type
- mobilenet_v2
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- 52595234
Datasets
Spaces
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. -->
gemini-beauty
This model is a fine-tuned version of on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.1226
- Accuracy: 0.5158
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: 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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3724 | 1.0 | 148 | 1.2028 | 0.4586 |
| 1.3217 | 2.0 | 296 | 1.1831 | 0.4812 |
| 1.2649 | 3.0 | 444 | 1.1674 | 0.4981 |
| 1.2456 | 4.0 | 592 | 1.1236 | 0.5146 |
| 1.2176 | 5.0 | 740 | 1.1384 | 0.5040 |
| 1.2069 | 6.0 | 888 | 1.1165 | 0.5207 |
| 1.2083 | 7.0 | 1036 | 1.1663 | 0.4985 |
| 1.1663 | 8.0 | 1184 | 1.1226 | 0.5158 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Task
- Image Classification
- Library
- transformers
- Type
- mobilenet_v2
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024