---
license: apache-2.0
base_model: google/vit-base-patch16-224
tags:
- generated_from_trainer
model-index:
- name: vit-base-patch16-224-finetuned-dangerousSpiders
  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. -->

# vit-base-patch16-224-finetuned-dangerousSpiders

This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1685
- eval_accuracy: 0.94
- eval_precision: 0.9434
- eval_recall: 0.9392
- eval_f1: 0.9398
- eval_runtime: 5.4111
- eval_samples_per_second: 36.961
- eval_steps_per_second: 2.402
- step: 0

## 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: 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: 2

### Framework versions

- Transformers 4.33.2
- Pytorch 2.2.0.dev20230921
- Datasets 2.14.5
- Tokenizers 0.13.3