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M-FAC
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bert-mini-finetuned-mnli

Text Classification
Transformers
PyTorch
bert
Inference Endpoints
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Fix table rendering

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@@ -24,10 +24,11 @@ mismatched_accuracy = 75.93
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  ```
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  Mean and standard deviation for 5 runs on MNLI validation set:
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- | | Matched Accuracy | Mismatched Accuracy |
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- |:----:|:-----------:|:----------:|
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- | Adam | 73.30 ± 0.20 | 74.85 ± 0.09 |
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- | M-FAC | 74.59 ± 0.41 | 75.95 ± 0.14 |
 
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  Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
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  ```
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  Mean and standard deviation for 5 runs on MNLI validation set:
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+
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+ | | Matched Accuracy | Mismatched Accuracy |
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+ |:-----:|:----------------:|:-------------------:|
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+ | Adam | 73.30 ± 0.20 | 74.85 ± 0.09 |
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+ | M-FAC | 74.59 ± 0.41 | 75.95 ± 0.14 |
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  Results can be reproduced by adding M-FAC optimizer code in [https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py](https://github.com/huggingface/transformers/blob/master/examples/pytorch/text-classification/run_glue.py) and running the following bash script:
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