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wuru330/
378A1_results_coord

Name: 378A1_results_coord
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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378A1_results_coord

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4924
Accuracy: 0.8946

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: 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
lr_scheduler_warmup_ratio: 0.1
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.2529	1.0	37	1.0701	0.6207
0.6771	2.0	74	0.6678	0.7687
0.4363	3.0	111	0.5622	0.8010
0.2884	4.0	148	0.3808	0.8690
0.2382	5.0	185	0.3492	0.8810
0.1213	6.0	222	0.3485	0.8895
0.1238	7.0	259	0.4012	0.8827
0.0878	8.0	296	0.4311	0.8639
0.0839	9.0	333	0.4417	0.8656
0.0406	10.0	370	0.3993	0.8844
0.0509	11.0	407	0.4922	0.8690
0.0347	12.0	444	0.4840	0.8741
0.033	13.0	481	0.4572	0.8827
0.0222	14.0	518	0.4376	0.8861
0.0197	15.0	555	0.4397	0.8912
0.0179	16.0	592	0.4464	0.8946
0.0167	17.0	629	0.4526	0.8946
0.0154	18.0	666	0.4588	0.8929
0.0148	19.0	703	0.4642	0.8929
0.0135	20.0	740	0.4691	0.8929
0.0131	21.0	777	0.4732	0.8946
0.0125	22.0	814	0.4776	0.8946
0.0119	23.0	851	0.4809	0.8946
0.0116	24.0	888	0.4841	0.8946
0.0112	25.0	925	0.4863	0.8946
0.0111	26.0	962	0.4885	0.8946
0.0108	27.0	999	0.4903	0.8946
0.0108	28.0	1036	0.4912	0.8946
0.0105	29.0	1073	0.4921	0.8946
0.0108	30.0	1110	0.4924	0.8946

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

wuru330/378A1_results_coord

378A1_results_coord

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wuru330/
378A1_results_coord