jordyvl/bert_jordyvl_rvl_cdip_100_examples_per_class_2023-04-05

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bertjordyvlrvlcdip100examplesperclass2023-04-05

This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.7061
• —Accuracy: 0.1725

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: 2
• —evalbatchsize: 2
• —seed: 42
• —gradientaccumulationsteps: 32
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 1

Training results

Framework versions

• —Transformers 4.28.0.dev0
• —Pytorch 1.12.1+cu113
• —Datasets 2.9.0
• —Tokenizers 0.12.1