norhand-hcr-beta1 / README.md
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metadata
base_model: microsoft/trocr-base-stage1
tags:
  - generated_from_trainer
model-index:
  - name: norhand-hcr-beta1
    results: []

norhand-hcr-beta1

This model is a fine-tuned version of microsoft/trocr-base-stage1 on the NorHand dataset. It achieves the following results on the evaluation set:

  • Loss: 1.4687
  • Cer: 0.0439

It achieves the following results on the test set:

  • CER: 8.3
  • WER: 22.07

This is work in progress.

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: 32
  • eval_batch_size: 1
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 2000
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Cer
0.7606 0.71 5000 1.0489 0.1266
0.5971 1.43 10000 1.2096 0.1028
0.4448 2.14 15000 1.3738 0.0771
0.3919 2.85 20000 1.2733 0.0670
0.2806 3.56 25000 1.3048 0.0597
0.2055 4.28 30000 1.3568 0.0557
0.2486 4.99 35000 0.9717 0.0527
0.1631 5.7 40000 1.3159 0.0506
0.1159 6.41 45000 1.3730 0.0480
0.0605 7.13 50000 1.3399 0.0469
0.0626 7.84 55000 1.3642 0.0460
0.0532 8.55 60000 1.3870 0.0450
0.0177 9.26 65000 1.4912 0.0439
0.0308 9.98 70000 1.4687 0.0439

Framework versions

  • Transformers 4.32.1
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.13.3