davelotito/donut_experiment_bayesian_trial_1

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donutexperimentbayesiantrial1

This model is a fine-tuned version of naver-clova-ix/donut-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4856
• —Bleu: 0.0696
• —Precisions: [0.8274428274428275, 0.7712264150943396, 0.7356948228882834, 0.6935483870967742]
• —Brevity Penalty: 0.0921
• —Length Ratio: 0.2955
• —Translation Length: 481
• —Reference Length: 1628
• —Cer: 0.7518
• —Wer: 0.8247

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: 7.862160042303398e-05
• —trainbatchsize: 1
• —evalbatchsize: 1
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 2
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 2
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.0
• —Pytorch 2.1.0
• —Datasets 2.18.0
• —Tokenizers 0.19.1