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pokemon-vit-transfer-learning – AI Model by ganemmah | AlphaNeural AI
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ganemmah
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pokemon-vit-transfer-learning
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transformers
safetensors
resnet
image-classification
generated_from_trainer
imagefolder
microsoft/resnet-18
finetune
apache-2.0
model-index
endpoints_compatible
us
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pokemon-vit-transfer-learning
This model is a fine-tuned version of
microsoft/resnet-18
on the imagefolder dataset. It achieves the following results on the evaluation set:
Loss: 0.6481
Accuracy: 0.84
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: 64
eval_batch_size: 64
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
3
1.2079
0.64
No log
2.0
6
0.6481
0.84
No log
3.0
9
0.4854
0.84
Framework versions
Transformers 5.5.3
Pytorch 2.11.0
Datasets 4.8.4
Tokenizers 0.22.2
