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selmamalak/
breastmnist-deit-base-finetuned

Name: breastmnist-deit-base-finetuned
Availability: InStock

peft

safetensors

generated_from_trainer

medmnist-v2

facebook/deit-base-patch16-224

adapter

apache-2.0

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breastmnist-deit-base-finetuned

This model is a fine-tuned version of facebook/deit-base-patch16-224 on the medmnist-v2 dataset. It achieves the following results on the evaluation set:

Loss: 0.3832
Accuracy: 0.8333
Precision: 0.8079
Recall: 0.7431
F1: 0.7653

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

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall	F1
No log	0.9143	8	0.5026	0.7436	0.8701	0.5238	0.4708
0.6168	1.9429	17	0.4762	0.8462	0.8286	0.7594	0.7833
0.5954	2.9714	26	0.5305	0.7308	0.3654	0.5	0.4222
0.5934	4.0	35	0.4790	0.7692	0.7836	0.5865	0.5846
0.526	4.9143	43	0.3693	0.8718	0.8698	0.7920	0.8194
0.4651	5.9429	52	0.4789	0.7949	0.7434	0.7694	0.7534
0.493	6.9714	61	0.4187	0.8205	0.7792	0.7419	0.7565
0.4337	8.0	70	0.3600	0.8590	0.8417	0.7832	0.8051
0.4337	8.9143	78	0.3468	0.8718	0.8544	0.8070	0.8260
0.418	9.1429	80	0.3454	0.8718	0.8698	0.7920	0.8194

Framework versions

PEFT 0.11.1
Transformers 4.41.1
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1

selmamalak/breastmnist-deit-base-finetuned

breastmnist-deit-base-finetuned

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

selmamalak/
breastmnist-deit-base-finetuned