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vit-bird – AI Model by rf300 | AlphaNeural AI
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rf300
/
vit-bird
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0
pytorch
vit
generated_from_trainer
google/vit-base-patch16-224
finetune
apache-2.0
us
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vit-bird
This model is a fine-tuned version of
google/vit-base-patch16-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.6612
Accuracy: 0.7653
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
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
3.3816
1.0
187
3.1595
0.5787
1.9573
2.0
375
1.9335
0.7390
1.3958
2.99
561
1.6612
0.7653
Framework versions
Transformers 4.33.3
Pytorch 2.5.1
Datasets 2.19.2
Tokenizers 0.13.3
