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wuru330/
378A1_results_2

Name: 378A1_results_2
Availability: InStock

generated_from_trainer

apache-2.0

autotrain_compatible

endpoints_compatible

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378A1_results_2

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: 0.5007
Accuracy: 0.8861

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
1.2051	1.0	37	1.0438	0.6429
0.6643	2.0	74	0.6103	0.7925
0.4615	3.0	111	0.4720	0.8435
0.3136	4.0	148	0.3668	0.8776
0.278	5.0	185	0.3650	0.8622
0.1875	6.0	222	0.3705	0.8690
0.1215	7.0	259	0.4093	0.8741
0.0885	8.0	296	0.3428	0.9014
0.0497	9.0	333	0.3854	0.8759
0.0348	10.0	370	0.4291	0.8707
0.0301	11.0	407	0.4464	0.8895
0.0246	12.0	444	0.4208	0.8929
0.0218	13.0	481	0.4256	0.8912
0.0198	14.0	518	0.4300	0.8878
0.0179	15.0	555	0.4403	0.8861
0.0165	16.0	592	0.4481	0.8861
0.0155	17.0	629	0.4554	0.8878
0.0146	18.0	666	0.4632	0.8878
0.0137	19.0	703	0.4691	0.8844
0.0129	20.0	740	0.4747	0.8861
0.0125	21.0	777	0.4792	0.8844
0.0119	22.0	814	0.4840	0.8844
0.0113	23.0	851	0.4875	0.8861
0.0111	24.0	888	0.4924	0.8844
0.0108	25.0	925	0.4947	0.8844
0.0105	26.0	962	0.4966	0.8844
0.0104	27.0	999	0.4988	0.8861
0.0102	28.0	1036	0.4997	0.8861
0.0101	29.0	1073	0.5005	0.8861
0.01	30.0	1110	0.5007	0.8861

Framework versions

Transformers 4.30.2
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3

wuru330/378A1_results_2

378A1_results_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

wuru330/
378A1_results_2