vit-beans

This model is a fine-tuned version of google/vit-base-patch16-224-in21k on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 1.0848
eval_model_preparation_time: 0.0057
eval_accuracy: 0.3984
eval_runtime: 1.984
eval_samples_per_second: 64.517
eval_steps_per_second: 2.016
epoch: 0
step: 0

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: 0.0002
train_batch_size: 16
eval_batch_size: 32
seed: 42
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
num_epochs: 3
mixed_precision_training: Native AMP

Framework versions

Transformers 5.22.2
Pytorch 2.14.1+cu130
Datasets 5.1.0
Tokenizers 0.23.3

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Safetensors

Model size

85.8M params

Tensor type

F32

Model tree for dreamonasdasd/vit-beans

Base model

google/vit-base-patch16-224-in21k

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