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beit-sketch-classifier-pt-metaset – AI Model by kmewhort | AlphaNeural AI
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beit-sketch-classifier-pt-metaset
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transformers
pytorch
beit
image-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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beit-sketch-classifier-pt-metaset
This model is a fine-tuned version of
microsoft/beit-base-patch16-224-pt22k-ft22k
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6732
Accuracy: 0.8277
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: 32
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8069
1.0
76608
0.7673
0.7988
0.6922
2.0
153216
0.6982
0.8159
0.6289
3.0
229824
0.6709
0.8236
0.5332
4.0
306432
0.6635
0.8271
0.4283
5.0
383040
0.6732
0.8277
Framework versions
Transformers 4.25.1
Pytorch 1.13.1+cu117
Datasets 2.7.1
Tokenizers 0.13.2
