strickvl/nlp-redaction-classifier

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Redaction Classifier: NLP Edition

This model is a fine-tuned version of microsoft/deberta-v3-small on a custom dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0893
• —Pearson: 0.8273

Model description

Read more about the process and the code used to train this model on my blog here.

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: 0.0001
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.19.2
• —Pytorch 1.11.0a0+17540c5
• —Datasets 2.2.2
• —Tokenizers 0.12.1