arya555/email_answer_extraction

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emailanswerextraction

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0388
• —Precision: 0.3571
• —Recall: 0.5769
• —F1: 0.4412
• —Accuracy: 0.9859

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: 2e-05
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.36.2
• —Pytorch 2.0.0
• —Datasets 2.16.0
• —Tokenizers 0.15.0