Omar280X/printed_ID_Segmentation_1

This model is a fine-tuned version of nvidia/mit-b0 on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 0.5221
  • Validation Loss: 0.7828
  • Epoch: 5

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:

  • optimizer: {'name': 'Adam', 'learning_rate': 3.639184e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
0.3885 1.1158 0
0.4938 0.6734 1
0.4921 0.6814 2
0.5149 0.7493 3
0.4889 0.7936 4
0.5221 0.7828 5

Framework versions

  • Transformers 4.37.2
  • TensorFlow 2.10.0
  • Datasets 3.6.0
  • Tokenizers 0.15.2
Downloads last month
6
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Omar280X/printed_ID_Segmentation_1

Base model

nvidia/mit-b0
Finetuned
(428)
this model