microsoft/trocr-base-str

This model is a fine-tuned version of microsoft/trocr-base-str on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0856
  • Cer: 0.0098
  • Wer: 0.0573

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: 1e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Cer Wer
1.6623 1.0 217 0.4722 0.0574 0.2340
0.4122 2.0 434 0.3248 0.0378 0.1585
0.1077 3.0 651 0.0898 0.0132 0.0722
0.047 4.0 868 0.0848 0.0114 0.0614
0.0304 5.0 1085 0.0836 0.0122 0.0634
0.0224 6.0 1302 0.0891 0.0104 0.0566
0.0154 7.0 1519 0.0873 0.0107 0.0587
0.0137 8.0 1736 0.0852 0.0102 0.0560
0.0121 9.0 1953 0.0883 0.0107 0.0634
0.0095 10.0 2170 0.0829 0.0092 0.0526
0.0068 11.0 2387 0.0851 0.0091 0.0519
0.0075 12.0 2604 0.0831 0.0102 0.0600
0.0055 13.0 2821 0.0824 0.0098 0.0580
0.0048 14.0 3038 0.0821 0.0099 0.0587
0.0023 15.0 3255 0.0873 0.0096 0.0553
0.0018 16.0 3472 0.0835 0.0102 0.0593
0.0016 17.0 3689 0.0888 0.0100 0.0600
0.0034 18.0 3906 0.0853 0.0094 0.0553
0.001 19.0 4123 0.0857 0.0096 0.0566
0.0013 20.0 4340 0.0856 0.0098 0.0573

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.1+cu121
  • Datasets 2.17.0
  • Tokenizers 0.19.1
Downloads last month
4,124
Safetensors
Model size
334M params
Tensor type
F32
·
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.

Model tree for Sans1807/APNR-Braincore-V2

Finetuned
(2)
this model
Finetunes
1 model