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cvt-13-finetuned-ibird – AI Model by hemlatachanne | AlphaNeural AI
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hemlatachanne
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cvt-13-finetuned-ibird
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transformers
tensorboard
safetensors
cvt
image-classification
generated_from_trainer
microsoft/cvt-13
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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cvt-13-finetuned-ibird
This model is a fine-tuned version of
microsoft/cvt-13
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0637
Accuracy: 0.9853
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
1.0089
1.0
565
0.2878
0.9649
0.7855
2.0
1131
0.1079
0.9791
0.6657
3.0
1696
0.0706
0.9867
0.7475
4.0
2262
0.0668
0.9867
0.6021
5.0
2825
0.0637
0.9853
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Tokenizers 0.15.2
