This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.5970
F1: 0.6883

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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.516	0.9963	67	0.5966	0.6873
0.5235	1.9926	134	0.5976	0.6850
0.5327	2.9888	201	0.5961	0.6873
0.5494	4.0	269	0.5996	0.6850
0.5238	4.9963	336	0.5970	0.6883
0.522	5.9926	403	0.6024	0.6813
0.5134	6.9740	469	0.5974	0.6869

Framework versions

Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0

truongson412/swin-base-patch4-window7-224-finetuned-dsc

swin-base-patch4-window7-224-finetuned-dsc

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

truongson412/
swin-base-patch4-window7-224-finetuned-dsc