pszemraj/bert-L-4_H-128_A-2-OCR-quality

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bertuncasedL-4H-128A-2-OCR-quality-classification-cls

This model is a fine-tuned version of google/bert_uncased_L-4_H-128_A-2 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0422
• —Accuracy: 0.99
• —Num Input Tokens Seen: 57341952

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: 3e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.99) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —num_epochs: 2.0

Training results

Framework versions

• —Transformers 4.40.2
• —Pytorch 2.2.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1