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byc3230/
swin-tiny-patch4-window7-224-finetuned-aiornot-step

Name: swin-tiny-patch4-window7-224-finetuned-aiornot-step
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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swin-tiny-patch4-window7-224-finetuned-aiornot-step

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

Loss: 0.1075
Accuracy: 0.9613
F1: 0.9606
Log Loss: 1.3937

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: 0.0001
train_batch_size: 64
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
lr_scheduler_warmup_steps: 10
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Log Loss
0.5919	0.17	10	0.3100	0.8722	0.8663	4.6071
0.3175	0.34	20	0.2757	0.8861	0.8793	4.1038
0.2445	0.52	30	0.2021	0.9130	0.9092	3.1359
0.2117	0.69	40	0.1510	0.9377	0.9360	2.2455
0.2062	0.86	50	0.1535	0.9334	0.9311	2.4003
0.1815	1.03	60	0.1493	0.9382	0.9361	2.2261
0.1458	1.2	70	0.2196	0.9135	0.9089	3.1166
0.1507	1.37	80	0.1826	0.9243	0.9207	2.7294
0.1389	1.55	90	0.1396	0.9377	0.9356	2.2455
0.1331	1.72	100	0.2182	0.9125	0.9077	3.1553
0.1458	1.89	110	0.2661	0.9033	0.8978	3.4843
0.147	2.06	120	0.1068	0.9597	0.9588	1.4518
0.119	2.23	130	0.1284	0.9501	0.9484	1.8002
0.1045	2.4	140	0.1802	0.9291	0.9259	2.5552
0.1115	2.58	150	0.1434	0.9441	0.9420	2.0132
0.1108	2.75	160	0.1365	0.9441	0.9421	2.0132
0.1044	2.92	170	0.1488	0.9398	0.9375	2.1680

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3

byc3230/swin-tiny-patch4-window7-224-finetuned-aiornot-step

swin-tiny-patch4-window7-224-finetuned-aiornot-step

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

byc3230/
swin-tiny-patch4-window7-224-finetuned-aiornot-step