1_lakh_cards-swinv2-base-patch4-window12to16-192to256-22kto1k-ft-finetuned

This model is a fine-tuned version of microsoft/swinv2-base-patch4-window12to16-192to256-22kto1k-ft on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 2.4853
• Accuracy: 0.3370

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: 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
1.5715	1.0000	6051	2.0155	0.2758
1.6433	1.9999	12102	2.2641	0.2734
1.6866	2.9999	18153	2.1140	0.2888
1.5693	4.0	24205	2.2003	0.3066
1.5371	5.0000	30256	2.2069	0.2968
1.4969	5.9999	36307	2.1547	0.3296
1.4368	6.9999	42358	2.2579	0.3250
1.3077	8.0	48410	2.2327	0.3360
1.3775	9.0000	54461	2.3860	0.3400
1.3595	9.9996	60510	2.4853	0.3370

Framework versions

• Transformers 4.40.1
• Pytorch 2.0.1+cu117
• Datasets 2.19.1
• Tokenizers 0.19.1