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