alexnet-pneumonia

dyaminda/alexnet-pneumonia

alexnet-pneumonia is a image classification model from dyaminda. Use it when you need a label for an image. It is set up for transformers.

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

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At a glance

Task: Image Classification
Library: transformers
Model type: alexnet
Access: Public
Created: Sep 30, 2023
Updated: Sep 30, 2023
SHA: f51ec356

Model card

From the Hugging Face model README

alexnet-pneumonia

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1262
Accuracy: 0.9522

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: 50
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
0.4174	0.99	52	0.3565	0.8496
0.2598	2.0	105	0.2537	0.8986
0.1915	2.99	157	0.2482	0.9021
0.1696	4.0	210	0.1265	0.9558
0.1244	4.95	260	0.1234	0.9547

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3

Task: Image Classification
Library: transformers
Type: alexnet
Created: Sep 30, 2023
Updated: Sep 30, 2023