BigTMiami/tapt_helpfulness_base_pretraining_model

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tapthelpfulnessbasepretrainingmodel

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

• —Loss: 1.4502

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: 0.0005
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —gradientaccumulationsteps: 11
• —totaltrainbatch_size: 352
• —optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.06
• —num_epochs: 10

Training results

Framework versions

• —Transformers 4.38.2
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2