philschmid/roberta-large-sst2

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roberta-large-sst2

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

• —Loss: 0.1400
• —Accuracy: 0.9644

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: 3e-05
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —distributedtype: sagemakerdata_parallel
• —num_devices: 8
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 256
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.17.0
• —Pytorch 1.10.2+cu113
• —Datasets 1.18.4
• —Tokenizers 0.11.6