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animal-detection-vit – AI Model by jayasurya0131 | AlphaNeural AI
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jayasurya0131
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animal-detection-vit
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transformers
safetensors
mobilenet_v2
image-classification
generated_from_trainer
google/mobilenet_v2_1.0_224
finetune
other
endpoints_compatible
us
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animal-detection-vit
This model is a fine-tuned version of
google/mobilenet_v2_1.0_224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4218
Accuracy: 0.8668
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: 0.0003
train_batch_size: 32
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 50
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
4.2023
1.0
46
0.9937
0.8125
0.8908
2.0
92
0.5121
0.8451
0.5052
3.0
138
0.5347
0.8478
0.2147
4.0
184
0.4460
0.8668
0.1825
5.0
230
0.4218
0.8668
Framework versions
Transformers 5.6.0
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
