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--- |
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base_model: shehan97/mobilevitv2-2.0-imagenet1k-256 |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: quickdraw-MobileVITV2-1.0-Pretrained |
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results: [] |
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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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# quickdraw-MobileVITV2-1.0-Pretrained |
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This model is a fine-tuned version of [shehan97/mobilevitv2-2.0-imagenet1k-256](https://huggingface.co/shehan97/mobilevitv2-2.0-imagenet1k-256) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- eval_loss: 0.9671 |
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- eval_accuracy: 0.7622 |
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- eval_runtime: 16.2585 |
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- eval_samples_per_second: 15376.569 |
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- eval_steps_per_second: 30.077 |
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- epoch: 6.2626 |
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- step: 55048 |
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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: 0.0008 |
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- train_batch_size: 512 |
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- eval_batch_size: 512 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 10000 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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### Framework versions |
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- Transformers 4.40.2 |
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- Pytorch 2.2.1 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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