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Manab/donut-base-my_model_rapido_2_new_check_3

sourceHugging Facemitupdated 3y agoView on Hugging Face
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donut-base-mymodelrapido2newcheck3

This model is a fine-tuned version of Manab/donut-base-my_model_rapido_2_new_check_2 on the imagefolder dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3896

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
  • trainbatchsize: 1
  • evalbatchsize: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lrschedulertype: linear
  • num_epochs: 3

Training results

Training LossEpochStepValidation Loss
2.86940.69502.0758
2.24211.391001.7321
1.69722.081501.4280
1.58662.782001.3896

Framework versions

  • Transformers 4.31.0.dev0
  • Pytorch 2.0.1+cu118
  • Datasets 2.13.1
  • Tokenizers 0.13.3