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--- |
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tags: |
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- generated_from_trainer |
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datasets: |
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- imagefolder |
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metrics: |
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- accuracy |
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model-index: |
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- name: gemini-beauty |
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results: |
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- task: |
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name: Image Classification |
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type: image-classification |
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dataset: |
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name: imagefolder |
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type: imagefolder |
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config: default |
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split: train |
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args: default |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.5179628064243449 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# gemini-beauty |
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This model is a fine-tuned version of [](https://huggingface.co/) on the imagefolder dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.1160 |
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- Accuracy: 0.5180 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 32 |
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- eval_batch_size: 32 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 1.3947 | 1.0 | 148 | 1.2066 | 0.4372 | |
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| 1.3332 | 2.0 | 296 | 1.1703 | 0.4734 | |
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| 1.2637 | 3.0 | 444 | 1.1678 | 0.4780 | |
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| 1.2277 | 4.0 | 592 | 1.1359 | 0.4996 | |
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| 1.2704 | 5.0 | 740 | 1.1407 | 0.5002 | |
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| 1.2099 | 6.0 | 888 | 1.1332 | 0.5131 | |
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| 1.1858 | 7.0 | 1036 | 1.1704 | 0.4803 | |
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| 1.156 | 8.0 | 1184 | 1.1160 | 0.5180 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
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