selmamalak
/

chestmnist-swin-base-finetuned

Generated from Trainer

Model card Files Files and versions Metrics Training metrics Community

Edit model card

Configuration Parsing Warning: In adapter_config.json: "peft.task_type" must be a string

chestmnist-swin-base-finetuned

This model is a fine-tuned version of microsoft/swin-large-patch4-window7-224-in22k on the medmnist-v2 dataset.

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: 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
num_epochs: 10
mixed_precision_training: Native AMP

Framework versions

PEFT 0.11.1
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1

Downloads last month: 2

Inference API

Unable to determine this model’s pipeline type. Check the docs .

Model tree for selmamalak/chestmnist-swin-base-finetuned

Base model

microsoft/swin-large-patch4-window7-224-in22k

Adapter

(8)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard