dog_emotion_v3_resnet

Dewa/dog_emotion_v3_resnet

dog_emotion_v3_resnet is a image classification model from Dewa. 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: resnet
Access: Public
Created: Jul 27, 2023
Updated: Jul 27, 2023
SHA: b0aa69d8

Base models

microsoft/resnet-50

Model card

From the Hugging Face model README

dog_emotion_v3_resnet

This model is a fine-tuned version of microsoft/resnet-50 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.3063
Accuracy: 0.5075

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: 5.5e-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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	50	1.3721	0.3475
No log	2.0	100	1.3502	0.45
No log	3.0	150	1.3292	0.485
No log	4.0	200	1.3103	0.5025
No log	5.0	250	1.3063	0.5075

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.0
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: resnet
License: apache-2.0
Created: Jul 27, 2023
Updated: Jul 27, 2023