zack-paperspace/roberta-base-finetuned-cola

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roberta-base-finetuned-cola

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

• —Loss: 0.5732
• —Matthews Correlation: 0.6495

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: 1
• —evalbatchsize: 1
• —seed: 42
• —distributed_type: IPU
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 5
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5
• —training precision: Mixed Precision

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.10.0+cpu
• —Datasets 2.8.0
• —Tokenizers 0.12.1