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bus-deit – AI Model by as-cle-bert | AlphaNeural AI | AlphaNeural AI
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as-cle-bert
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bus-deit
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
facebook/deit-small-patch16-224
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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bus-deit
This model is a fine-tuned version of
facebook/deit-small-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4103
Accuracy: 0.8154
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
0.84
4
0.5423
0.6769
No log
1.89
9
0.4281
0.8308
0.5835
2.53
12
0.4103
0.8154
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
