yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80

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bert-base-uncased-sst2-unstructured-sparsity-80

This model is a fine-tuned version of bert-base-uncased on the GLUE SST2 dataset. The sparsity on linear layers is 80%.

It achieves the following results on the evaluation set:

• —eval_loss: 0.4133
• —eval_accuracy: 0.9128
• —eval_runtime: 31.5327
• —evalsamplesper_second: 27.654
• —evalstepsper_second: 3.457

Model description

• —eval config： maxseqlength 128

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Framework versions

• —Transformers 4.26.0
• —Pytorch 1.13.1+cu116
• —Datasets 2.8.0
• —Tokenizers 0.13.2