swinv2-base-512 / README.md
gagan3012's picture
Upload README.md
c3241ca
metadata
tags:
  - masked-image-modeling
  - generated_from_trainer
datasets:
  - shamila
model-index:
  - name: swinv2-base-512
    results: []

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