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bert-base-uncased-sst2-unstructured-sparsity-80
yujiepan/bert-base-uncased-sst2-unstructured-sparsity-80
bert-base-uncased-sst2-unstructured-sparsity-80 is a text classification model from yujiepan. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- en
- Created
- Feb 6, 2023
- Updated
- Feb 17, 2025