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# msi-mini2

This model is a fine-tuned version of [shi-labs/nat-mini-in1k-224](https://huggingface.co/shi-labs/nat-mini-in1k-224) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.0132
- eval_accuracy: 0.6103
- eval_runtime: 97.1589
- eval_samples_per_second: 294.528
- eval_steps_per_second: 18.413
- epoch: 2.0
- step: 4031

## 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: 1e-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: 10

### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "shi-labs/nat-mini-in1k-224", "model-index": [{"name": "msi-mini2", "results": []}]}
transformers safetensors nat image-classification generated_from_trainer dataset:imagefolder base_model:shi-labs/nat-mini-in1k-224 license:mit autotrain_compatible endpoints_compatible region:us