Update model to overflowfix version

README.md

@@ -5,30 +5,16 @@ tags:
 datasets:
 - squad
 model-index:
-- name: jpqd_bert_squad_overflowfix
+- name: bert-base-uncased-squad-v1-jpqd-ov-int8
   results: []
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
-# jpqd_bert_squad_overflowfix
+# bert-base-uncased-squad-v1-jpqd-ov-int8
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
+It was compressed using [NNCF](https://github.com/openvinotoolkit/nncf) with [Optimum
+Intel](https://github.com/huggingface/optimum-intel#openvino) following the [JPQD question-answering
+example](https://github.com/huggingface/optimum-intel/tree/main/examples/openvino/question-answering#joint-pruning-quantization-and-distillation-jpqd-for-bert-on-squad10).
 
 ### Training hyperparameters
 
@@ -42,9 +28,6 @@ The following hyperparameters were used during training:
 - num_epochs: 8.0
 - mixed_precision_training: Native AMP
 
-### Training results
-
-
 
 ### Framework versions
 
@@ -52,3 +35,4 @@ The following hyperparameters were used during training:
 - Pytorch 1.13.1+cu117
 - Datasets 2.8.0
 - Tokenizers 0.13.2
+