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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-base-uncased-sst2-unstructured-sparsity-80

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/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