danlou/roberta-large-finetuned-csqa

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roberta-large-finetuned-csqa

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

• —Loss: 0.9146
• —Accuracy: 0.7330

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: 1e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.9.0
• —Pytorch 1.9.0
• —Datasets 1.10.2
• —Tokenizers 0.10.3