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beta15-ViT – AI Model by mikerol | AlphaNeural AI
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mikerol
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beta15-ViT
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transformers
tensorboard
safetensors
clip
image-classification
generated_from_trainer
openai/clip-vit-base-patch32
finetune
endpoints_compatible
us
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beta15-ViT
This model is a fine-tuned version of
openai/clip-vit-base-patch32
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3544
Accuracy: 0.884
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 4
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: linear
lr_scheduler_warmup_steps: 100
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5833
1.0
63
0.7836
0.754
0.5564
2.0
126
0.5178
0.83
0.3288
3.0
189
0.3544
0.884
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cpu
Datasets 4.0.0
Tokenizers 0.22.1
