Quantized model with overflow_fix enabled

README.md

@@ -5,19 +5,30 @@ tags:
 datasets:
 - squad
 model-index:
-- name: bert-base-uncased-squad-v1-jpqd-ov-int8
+- name: jpqd_bert_squad_overflowfix
   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. -->
 
-# bert-base-uncased-squad-v1-jpqd-ov-int8
+# jpqd_bert_squad_overflowfix
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the squad dataset.
-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).
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
 
 ### Training hyperparameters
 
@@ -33,13 +44,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-```
-***** eval metrics *****
-  epoch            =     8.0
-  eval_exact_match =  83.141
-  eval_f1          = 89.5906
-  eval_samples     =   10784
-```
+
 
 ### Framework versions
 

all_results.json

@@ -1,11 +1,11 @@
 {
     "epoch": 8.0,
-    "eval_exact_match": 83.14096499526963,
-    "eval_f1": 89.59061048191492,
+    "eval_exact_match": 83.33964049195838,
+    "eval_f1": 89.80725863442484,
     "eval_samples": 10784,
-    "train_loss": 2.368001897127539,
-    "train_runtime": 49077.3955,
+    "train_loss": 2.369025745212132,
+    "train_runtime": 49814.833,
     "train_samples": 88524,
-    "train_samples_per_second": 14.43,
-    "train_steps_per_second": 0.902
+    "train_samples_per_second": 14.216,
+    "train_steps_per_second": 0.889
 }

openvino_config.json

@@ -56,7 +56,7 @@
           "type": "percentile"
         }
       },
-      "overflow_fix": "disable",
+      "overflow_fix": "enable",
       "preset": "mixed",
       "scope_overrides": {
         "activations": {

openvino_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:81f4e1eba20221fd9fcc6bb8820422413f8413123d7418b0a303fc262449ce59
-size 75477404
+oid sha256:cead9787a2b86a186358962622f9cd81c9d7b83ce860c5422b7585c088bc94ac
+size 75452788

structured_sparsity.csv

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tokenizer.json

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 {
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-    "strategy": "OnlySecond",
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-    "pad_to_multiple_of": null,
-    "pad_id": 0,
-    "pad_type_id": 0,
-    "pad_token": "[PAD]"
-  },
+  "truncation": null,
+  "padding": null,
   "added_tokens": [
     {
       "id": 0,

training_args.bin

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