gchhablani/fnet-large-finetuned-mrpc

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fnet-large-finetuned-mrpc

This model is a fine-tuned version of google/fnet-large on the GLUE MRPC dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0872
• —Accuracy: 0.8260
• —F1: 0.8799
• —Combined Score: 0.8529

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: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5.0

Training results

Framework versions

• —Transformers 4.11.0.dev0
• —Pytorch 1.9.0
• —Datasets 1.12.1
• —Tokenizers 0.10.3