transformers safetensors vit image-classification generated_from_trainer dataset:cats_vs_dogs base_model:google/vit-base-patch16-224-in21k license:apache-2.0 autotrain_compatible endpoints_compatible region:us
---
license: apache-2.0
base_model: google/vit-base-patch16-224-in21k
tags:
- generated_from_trainer
datasets:
- cats_vs_dogs
model-index:
- name: cats_vs_dogs_image_recog_5k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# cats_vs_dogs_image_recog_5k

This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the cats_vs_dogs dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6933

## 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: 0.005
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6894        | 1.0   | 46   | 0.6933          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.2.0
- Datasets 2.14.6
- Tokenizers 0.14.1
