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bert-base-uncased-sst2-unstructured-sparsity-80 – AI Model by yujiepan | AlphaNeural AI
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bert-base-uncased-sst2-unstructured-sparsity-80
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transformers
pytorch
safetensors
bert
text-classification
generated_from_trainer
en
glue
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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
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
