Update README.md

README.md

@@ -671,7 +671,7 @@ model-index:
     - type: precision_at_1
       value: 62.5
     - type: precision_at_10
-      value: 30.0
+      value: 30
     - type: precision_at_100
       value: 10.038
     - type: precision_at_1000
@@ -3211,7 +3211,7 @@ model-index:
     - type: map_at_5
       value: 1.097
     - type: mrr_at_1
-      value: 90.0
+      value: 90
     - type: mrr_at_10
       value: 94.667
     - type: mrr_at_100
@@ -3223,9 +3223,9 @@ model-index:
     - type: mrr_at_5
       value: 94.667
     - type: ndcg_at_1
-      value: 86.0
+      value: 86
     - type: ndcg_at_10
-      value: 82.0
+      value: 82
     - type: ndcg_at_100
       value: 64.307
     - type: ndcg_at_1000
@@ -3235,7 +3235,7 @@ model-index:
     - type: ndcg_at_5
       value: 84.904
     - type: precision_at_1
-      value: 90.0
+      value: 90
     - type: precision_at_10
       value: 85.8
     - type: precision_at_100
@@ -3243,7 +3243,7 @@ model-index:
     - type: precision_at_1000
       value: 25.202
     - type: precision_at_3
-      value: 90.0
+      value: 90
     - type: precision_at_5
       value: 89.2
     - type: recall_at_1
@@ -3440,7 +3440,7 @@ model-index:
     - type: accuracy
       value: 96.1
     - type: f1
-      value: 95.0
+      value: 95
     - type: precision
       value: 94.46666666666668
     - type: recall
@@ -3663,7 +3663,7 @@ model-index:
     - type: f1
       value: 98.2
     - type: precision
-      value: 98.0
+      value: 98
     - type: recall
       value: 98.6
   - task:
@@ -3931,13 +3931,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 96.0
+      value: 96
     - type: f1
       value: 94.78333333333333
     - type: precision
       value: 94.18333333333334
     - type: recall
-      value: 96.0
+      value: 96
   - task:
       type: BitextMining
     dataset:
@@ -4084,13 +4084,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 97.0
+      value: 97
     - type: f1
       value: 96.22333333333334
     - type: precision
       value: 95.875
     - type: recall
-      value: 97.0
+      value: 97
   - task:
       type: BitextMining
     dataset:
@@ -4577,13 +4577,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 92.0
+      value: 92
     - type: f1
       value: 89.77999999999999
     - type: precision
       value: 88.78333333333333
     - type: recall
-      value: 92.0
+      value: 92
   - task:
       type: BitextMining
     dataset:
@@ -4730,13 +4730,13 @@ model-index:
       revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
     metrics:
     - type: accuracy
-      value: 97.0
+      value: 97
     - type: f1
       value: 96.11666666666666
     - type: precision
       value: 95.68333333333334
     - type: recall
-      value: 97.0
+      value: 97
   - task:
       type: BitextMining
     dataset:
@@ -5380,8 +5380,9 @@ model-index:
       value: 87.11747055081017
     - type: max_f1
       value: 80.13002540726349
+pipeline_tag: feature-extraction
 ---
 
 # Impulse2000/multilingual-e5-large-instruct-GGUF
 This model was converted to GGUF format from [`intfloat/multilingual-e5-large-instruct`](https://huggingface.co/intfloat/multilingual-e5-large-instruct) using llama.cpp via its 'convert_hf_to_gguf.py' script.
-Refer to the [original model card](https://huggingface.co/intfloat/multilingual-e5-large-instruct) for more details on the model.
+Refer to the [original model card](https://huggingface.co/intfloat/multilingual-e5-large-instruct) for more details on the model.