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bert-base-uncased-mnli
ishan/bert-base-uncased-mnli
bert-base-uncased-mnli is a text classification model from ishan. Use it when you need a label for a piece of text. It is set up for transformers.
We used the pretrained model from bert-base-uncased and finetuned it on MultiNLI dataset.
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 19, 2021
- SHA
- d88bc3e2
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Datasets
Model card
From the Hugging Face model README
bert-base-uncased finetuned on MNLI
Model Details and Training Data
We used the pretrained model from bert-base-uncased and finetuned it on MultiNLI dataset.
The training parameters were kept the same as Devlin et al., 2019 (learning rate = 2e-5, training epochs = 3, max_sequence_len = 128 and batch_size = 32).
Evaluation Results
The evaluation results are mentioned in the table below.
| Test Corpus | Accuracy |
|---|---|
| Matched | 0.8456 |
| Mismatched | 0.8484 |
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Languages
- en
- Created
- Mar 2, 2022
- Updated
- May 19, 2021