ArtoriasXV/roberta-base-finetuned-mnli-mm

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roberta-base-finetuned-mnli-mm

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

• —eval_loss: 0.4062
• —eval_accuracy: 0.8457
• —eval_runtime: 33.2523
• —evalsamplesper_second: 295.679
• —evalstepsper_second: 4.631
• —epoch: 1.0
• —step: 12272

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: 3.0719015844102515e-06
• —trainbatchsize: 32
• —evalbatchsize: 64
• —seed: 24
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 1

Framework versions

• —Transformers 4.16.2
• —Pytorch 2.1.0+cu121
• —Datasets 1.16.1
• —Tokenizers 0.15.2