metadata

language:
  - en
license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - glue
model-index:
  - name: bert-base-uncased-sst2-unstructured-sparsity-80
    results: []

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
eval_samples_per_second: 27.654
eval_steps_per_second: 3.457

Model description

eval config： max_seq_length 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