swinv2-base-512

This model was trained from scratch on the /lustre07/scratch/gagan30/arocr/Shamila dataset. It achieves the following results on the evaluation set:

• Loss: 1.0139

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: 2
• eval_batch_size: 2
• seed: 1337
• distributed_type: multi-GPU
• num_devices: 4
• gradient_accumulation_steps: 4
• total_train_batch_size: 32
• total_eval_batch_size: 8
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.9887	1.0	139819	1.0138

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.1
• Datasets 2.7.1
• Tokenizers 0.11.6