vit-kuzushiji49-final-tpu-xla-speed

This model is a fine-tuned version of google/vit-base-patch16-224 on the None dataset.

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: 2e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• distributed_type: tpu
• optimizer: Use OptimizerNames.ADAMW_TORCH_XLA with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.03
• num_epochs: 15

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cpu
• Datasets 4.3.0
• Tokenizers 0.22.1