Albert v2 finetuned on SQuAD v1. 

Trained using the [nn_pruning](https://github.com/huggingface/nn_pruning/tree/main/examples/question_answering) script, with pruning disabled.

[Original results](https://github.com/google-research/albert) are F1=90.2, EM=83.2, we improved them to:

```{
    "exact_match": 83.74645222327341,
    "f1": 90.78776054621733
}```
{}
transformers pytorch albert question-answering endpoints_compatible region:us
TAGS
#transformers #pytorch #albert #question-answering #endpoints_compatible #region-us 

Albert v2 finetuned on SQuAD v1. 

Trained using the nn_pruning script, with pruning disabled.

Original results are F1=90.2, EM=83.2, we improved them to:


TAGS
#transformers #pytorch #albert #question-answering #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #albert #question-answering #endpoints_compatible #region-us 
