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bert-base-uncased-mnli-sparse-70-unstructured
Intel/bert-base-uncased-mnli-sparse-70-unstructured
bert-base-uncased-mnli-sparse-70-unstructured is a text classification model from Intel. Use it when you need a label for a piece of text. It is set up for transformers.
Fine tuned sparse BERT base to MNLI (GLUE Benchmark) task from bert-base-uncased-sparse-70-unstructured. <br<br Note: This model requires transformers==2.10.0
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 24, 2021
- SHA
- f43011e5
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Model card
From the Hugging Face model README
Sparse BERT base model fine tuned to MNLI (uncased)
Fine tuned sparse BERT base to MNLI (GLUE Benchmark) task from bert-base-uncased-sparse-70-unstructured.
<br><br>
Note: This model requires transformers==2.10.0
Evaluation Results
Matched: 82.5%
Mismatched: 83.3%
This model can be further fine-tuned to other tasks and achieve the following evaluation results:
| Task | QQP (Acc/F1) | QNLI (Acc) | SST-2 (Acc) | STS-B (Pears/Spear) | SQuADv1.1 (Acc/F1) |
|---|---|---|---|---|---|
| 90.2/86.7 | 90.3 | 91.5 | 88.9/88.6 | 80.5/88.2 |
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- May 24, 2021