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jialicheng/
unlearn_cifar100_swin-base_bad_teaching_8_87

Name: unlearn_cifar100_swin-base_bad_teaching_8_87
Availability: InStock

generated_from_trainer

microsoft/swin-base-patch4-window7-224

finetune

apache-2.0

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87

This model is a fine-tuned version of microsoft/swin-base-patch4-window7-224 on the cifar100 dataset. It achieves the following results on the evaluation set:

Loss: 38.7243
Accuracy: 0.135
Dt Accuracy: 0.135
Df Accuracy: 0.1035
Unlearn Overall Accuracy: 0
Unlearn Time: None

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: 0.0002
train_batch_size: 128
eval_batch_size: 256
seed: 87
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Time
No log	1.0	63	2.2592	0.6242	None
No log	2.0	126	4.2251	0.514	None
No log	3.0	189	5.5898	0.4465	None
No log	4.0	252	7.5268	0.3645	None
No log	5.0	315	10.8443	0.3045	None
No log	6.0	378	12.3319	0.2707	None
No log	7.0	441	13.8734	0.2392	None
0.0	8.0	504	14.8187	0.2318	None
0.0	9.0	567	16.9718	0.2092	None
0.0	10.0	630	19.9804	0.176	None
0.0	11.0	693	22.9380	0.1648	None
0.0	12.0	756	24.8076	0.154	None
0.0	13.0	819	25.7608	0.146	None
0.0	14.0	882	27.5104	0.134	None
0.0	15.0	945	29.7182	0.131	None
0.0	16.0	1008	31.1549	0.1242	None
0.0	17.0	1071	35.7701	0.1202	None
0.0	18.0	1134	34.1421	0.121	None
0.0	19.0	1197	35.1525	0.117	None
0.0	20.0	1260	38.7243	0.1035	None

Framework versions

Transformers 4.39.3
Pytorch 2.2.2+cu118
Datasets 2.18.0
Tokenizers 0.15.2

jialicheng/unlearn_cifar100_swin-base_bad_teaching_8_87

87

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

jialicheng/
unlearn_cifar100_swin-base_bad_teaching_8_87