cats_vs_dogs_image_recog_11k

ebotwick/cats_vs_dogs_image_recog_11k

cats_vs_dogs_image_recog_11k is a image classification model from ebotwick. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Image Classification
Library: transformers
License: apache-2.0
Model type: vit
Access: Public
Created: Feb 17, 2024
Updated: Feb 20, 2024
SHA: 7f726e4f

Base models

google/vit-base-patch16-224-in21k

Datasets

cats_vs_dogs

Model card

From the Hugging Face model README

cats_vs_dogs_image_recog_11k

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the cats_vs_dogs dataset. It achieves the following results on the evaluation set:

Loss: 0.0451

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: 2
total_train_batch_size: 32
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
0.0895	1.0	366	0.0451

Framework versions

Transformers 4.35.0
Pytorch 2.2.0
Datasets 2.14.6
Tokenizers 0.14.1

Task: Image Classification
Library: transformers
Type: vit
License: apache-2.0
Created: Feb 17, 2024
Updated: Feb 20, 2024