vish88/roberta-large-mnli-fer-finetuned

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roberta-large-mnli-fer-finetuned

This model is a fine-tuned version of roberta-large on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.6940
• —Accuracy: 0.5005

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
• —gradientaccumulationsteps: 16
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Training results

Framework versions

• —Transformers 4.20.1
• —Pytorch 1.12.0+cu113
• —Datasets 2.3.2
• —Tokenizers 0.12.1