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aiornot_eman – AI Model by emanehab | AlphaNeural AI
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emanehab
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aiornot_eman
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transformers
pytorch
vit
image-classification
generated_from_trainer
en
competitions/aiornot
apache-2.0
autotrain_compatible
endpoints_compatible
us
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aiornot_eman
This model is a fine-tuned version of
google/vit-base-patch16-224-in21k
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0863
Accuracy: 0.9726
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1235
1.0
248
0.1117
0.9547
0.0512
2.0
497
0.0866
0.9690
0.0175
2.99
744
0.0863
0.9726
Framework versions
Transformers 4.27.3
Pytorch 1.10.2
Datasets 2.10.1
Tokenizers 0.13.2
