eublefar/bigbird-dialogue-score

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bigbird-dialogue-score

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

• —eval_loss: 0.2129
• —eval_f1: 0.9290
• —eval_precision: 0.9173
• —eval_recall: 0.9410
• —eval_runtime: 311.0516
• —evalsamplesper_second: 49.304
• —evalstepsper_second: 6.163
• —epoch: 1.0
• —step: 5432

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: 5e-06
• —trainbatchsize: 2
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: constant
• —num_epochs: 6
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.25.1
• —Pytorch 1.13.0+cu116
• —Datasets 2.7.1
• —Tokenizers 0.13.2