beitv2-base-beans

This model is a fine-tuned version of timm/beitv2_base_patch16_224.in1k_ft_in22k on an unknown dataset. It achieves the following results on the evaluation set:

• Accuracy: 0.9232
• Loss: 0.3161
• Num Input Tokens Seen: 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: 7.8125e-05
• train_batch_size: 160
• eval_batch_size: 160
• seed: 1337
• optimizer: Use OptimizerNames.ADAMW_TORCH 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: 20360
• num_epochs: 100.0

Training results

Framework versions

• Transformers 4.57.0.dev0
• Pytorch 2.7.1+cu126
• Datasets 4.0.0
• Tokenizers 0.22.0