resnet-50

jayanthspratap/resnet-50

resnet-50 is a machine learning model from jayanthspratap. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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

License: apache-2.0
Model type: resnet
Access: Public
Created: Aug 13, 2024
Updated: Aug 13, 2024
SHA: ee259177

Base models

microsoft/resnet-50

Datasets

imagefolder

Model card

From the Hugging Face model README

resnet-50

This model is a fine-tuned version of microsoft/resnet-50 on the imagefolder dataset. It achieves the following results on the evaluation set:

Loss: 0.6922
Accuracy: 0.9310

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-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	0.9655	7	0.6922	0.9310
0.6927	1.9310	14	0.6895	0.9310
0.6916	2.8966	21	0.6878	0.9310
0.6916	4.0	29	0.6853	0.9310
0.6899	4.9655	36	0.6839	0.9310
0.6878	5.9310	43	0.6811	0.9310
0.6868	6.8966	50	0.6826	0.9310
0.6868	8.0	58	0.6804	0.9310
0.6864	8.9655	65	0.6801	0.9310
0.686	9.6552	70	0.6800	0.9310

Framework versions

Transformers 4.42.3
Pytorch 2.3.1+cu118
Datasets 2.20.0
Tokenizers 0.19.1

Type: resnet
License: apache-2.0
Created: Aug 13, 2024
Updated: Aug 13, 2024