Add base_model metadata

To expose this model in the Qwen/Qwen2-7B model tree



README.md

@@ -510,7 +510,7 @@ model-index:
     - type: map_at_5
       value: 29.53
     - type: mrr_at_1
-      value: 25.0
+      value: 25
     - type: mrr_at_10
       value: 35.843
     - type: mrr_at_100
@@ -522,7 +522,7 @@ model-index:
     - type: mrr_at_5
       value: 34.264
     - type: ndcg_at_1
-      value: 25.0
+      value: 25
     - type: ndcg_at_10
       value: 38.606
     - type: ndcg_at_100
@@ -534,7 +534,7 @@ model-index:
     - type: ndcg_at_5
       value: 34.43
     - type: precision_at_1
-      value: 25.0
+      value: 25
     - type: precision_at_10
       value: 7.811
     - type: precision_at_100
@@ -2200,9 +2200,9 @@ model-index:
     - type: recall_at_10
       value: 93.167
     - type: recall_at_100
-      value: 99.0
+      value: 99
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
       value: 81.667
     - type: recall_at_5
@@ -2336,19 +2336,19 @@ model-index:
     - type: map_at_5
       value: 1.155
     - type: mrr_at_1
-      value: 96.0
+      value: 96
     - type: mrr_at_10
-      value: 98.0
+      value: 98
     - type: mrr_at_100
-      value: 98.0
+      value: 98
     - type: mrr_at_1000
-      value: 98.0
+      value: 98
     - type: mrr_at_3
-      value: 98.0
+      value: 98
     - type: mrr_at_5
-      value: 98.0
+      value: 98
     - type: ndcg_at_1
-      value: 93.0
+      value: 93
     - type: ndcg_at_10
       value: 82.258
     - type: ndcg_at_100
@@ -2360,11 +2360,11 @@ model-index:
     - type: ndcg_at_5
       value: 86.79
     - type: precision_at_1
-      value: 96.0
+      value: 96
     - type: precision_at_10
       value: 84.8
     - type: precision_at_100
-      value: 66.0
+      value: 66
     - type: precision_at_1000
       value: 25.356
     - type: precision_at_3
@@ -2913,7 +2913,7 @@ model-index:
     - type: recall_at_100
       value: 99.368
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
       value: 85.669
     - type: recall_at_5
@@ -3273,7 +3273,7 @@ model-index:
     - type: recall_at_1
       value: 56.2
     - type: recall_at_10
-      value: 75.0
+      value: 75
     - type: recall_at_100
       value: 89.9
     - type: recall_at_1000
@@ -4035,47 +4035,47 @@ model-index:
     - type: cos_sim_accuracy
       value: 99.90069513406156
     - type: cos_sim_ap
-      value: 100.0
+      value: 100
     - type: cos_sim_f1
       value: 99.95032290114257
     - type: cos_sim_precision
-      value: 100.0
+      value: 100
     - type: cos_sim_recall
       value: 99.90069513406156
     - type: dot_accuracy
       value: 99.90069513406156
     - type: dot_ap
-      value: 100.0
+      value: 100
     - type: dot_f1
       value: 99.95032290114257
     - type: dot_precision
-      value: 100.0
+      value: 100
     - type: dot_recall
       value: 99.90069513406156
     - type: euclidean_accuracy
       value: 99.90069513406156
     - type: euclidean_ap
-      value: 100.0
+      value: 100
     - type: euclidean_f1
       value: 99.95032290114257
     - type: euclidean_precision
-      value: 100.0
+      value: 100
     - type: euclidean_recall
       value: 99.90069513406156
     - type: manhattan_accuracy
       value: 99.90069513406156
     - type: manhattan_ap
-      value: 100.0
+      value: 100
     - type: manhattan_f1
       value: 99.95032290114257
     - type: manhattan_precision
-      value: 100.0
+      value: 100
     - type: manhattan_recall
       value: 99.90069513406156
     - type: max_accuracy
       value: 99.90069513406156
     - type: max_ap
-      value: 100.0
+      value: 100
     - type: max_f1
       value: 99.95032290114257
     task:
@@ -4124,7 +4124,7 @@ model-index:
     - type: manhattan_f1
       value: 73.68421052631581
     - type: manhattan_precision
-      value: 64.0
+      value: 64
     - type: manhattan_recall
       value: 86.82170542635659
     - type: max_accuracy
@@ -4236,7 +4236,7 @@ model-index:
       type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
     metrics:
     - type: map_at_1
-      value: 63.0
+      value: 63
     - type: map_at_10
       value: 73.471
     - type: map_at_100
@@ -4248,7 +4248,7 @@ model-index:
     - type: map_at_5
       value: 73.05
     - type: mrr_at_1
-      value: 63.0
+      value: 63
     - type: mrr_at_10
       value: 73.471
     - type: mrr_at_100
@@ -4260,7 +4260,7 @@ model-index:
     - type: mrr_at_5
       value: 73.05
     - type: ndcg_at_1
-      value: 63.0
+      value: 63
     - type: ndcg_at_10
       value: 78.255
     - type: ndcg_at_100
@@ -4272,29 +4272,29 @@ model-index:
     - type: ndcg_at_5
       value: 77.264
     - type: precision_at_1
-      value: 63.0
+      value: 63
     - type: precision_at_10
       value: 9.3
     - type: precision_at_100
-      value: 1.0
+      value: 1
     - type: precision_at_1000
       value: 0.1
     - type: precision_at_3
       value: 26.333000000000002
     - type: precision_at_5
-      value: 18.0
+      value: 18
     - type: recall_at_1
-      value: 63.0
+      value: 63
     - type: recall_at_10
-      value: 93.0
+      value: 93
     - type: recall_at_100
-      value: 100.0
+      value: 100
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
-      value: 79.0
+      value: 79
     - type: recall_at_5
-      value: 90.0
+      value: 90
     task:
       type: Retrieval
   - dataset:
@@ -4482,7 +4482,7 @@ model-index:
       type: PL-MTEB/cdsce-pairclassification
     metrics:
     - type: cos_sim_accuracy
-      value: 89.0
+      value: 89
     - type: cos_sim_ap
       value: 76.75437826834582
     - type: cos_sim_f1
@@ -4492,7 +4492,7 @@ model-index:
     - type: cos_sim_recall
       value: 64.21052631578948
     - type: dot_accuracy
-      value: 89.0
+      value: 89
     - type: dot_ap
       value: 76.75437826834582
     - type: dot_f1
@@ -4502,7 +4502,7 @@ model-index:
     - type: dot_recall
       value: 64.21052631578948
     - type: euclidean_accuracy
-      value: 89.0
+      value: 89
     - type: euclidean_ap
       value: 76.75437826834582
     - type: euclidean_f1
@@ -4512,7 +4512,7 @@ model-index:
     - type: euclidean_recall
       value: 64.21052631578948
     - type: manhattan_accuracy
-      value: 89.0
+      value: 89
     - type: manhattan_ap
       value: 76.66074220647083
     - type: manhattan_f1
@@ -4522,7 +4522,7 @@ model-index:
     - type: manhattan_recall
       value: 59.473684210526315
     - type: max_accuracy
-      value: 89.0
+      value: 89
     - type: max_ap
       value: 76.75437826834582
     - type: max_f1
@@ -4570,7 +4570,7 @@ model-index:
     - type: map_at_5
       value: 15.168000000000001
     - type: mrr_at_1
-      value: 66.0
+      value: 66
     - type: mrr_at_10
       value: 72.76700000000001
     - type: mrr_at_100
@@ -4594,7 +4594,7 @@ model-index:
     - type: ndcg_at_5
       value: 43.734
     - type: precision_at_1
-      value: 66.0
+      value: 66
     - type: precision_at_10
       value: 33.074999999999996
     - type: precision_at_100
@@ -4604,7 +4604,7 @@ model-index:
     - type: precision_at_3
       value: 48.583
     - type: precision_at_5
-      value: 42.0
+      value: 42
     - type: recall_at_1
       value: 8.83
     - type: recall_at_10
@@ -5428,7 +5428,7 @@ model-index:
     - type: precision_at_1000
       value: 0.11299999999999999
     - type: precision_at_3
-      value: 26.0
+      value: 26
     - type: precision_at_5
       value: 16.933
     - type: recall_at_1
@@ -5438,9 +5438,9 @@ model-index:
     - type: recall_at_100
       value: 95.667
     - type: recall_at_1000
-      value: 100.0
+      value: 100
     - type: recall_at_3
-      value: 71.0
+      value: 71
     - type: recall_at_5
       value: 75.672
     task:
@@ -5465,19 +5465,19 @@ model-index:
     - type: map_at_5
       value: 1.13
     - type: mrr_at_1
-      value: 88.0
+      value: 88
     - type: mrr_at_10
-      value: 93.0
+      value: 93
     - type: mrr_at_100
-      value: 93.0
+      value: 93
     - type: mrr_at_1000
-      value: 93.0
+      value: 93
     - type: mrr_at_3
-      value: 93.0
+      value: 93
     - type: mrr_at_5
-      value: 93.0
+      value: 93
     - type: ndcg_at_1
-      value: 85.0
+      value: 85
     - type: ndcg_at_10
       value: 80.303
     - type: ndcg_at_100
@@ -5489,7 +5489,7 @@ model-index:
     - type: ndcg_at_5
       value: 82.976
     - type: precision_at_1
-      value: 88.0
+      value: 88
     - type: precision_at_10
       value: 83.39999999999999
     - type: precision_at_100
@@ -5514,6 +5514,7 @@ model-index:
       value: 1.173
     task:
       type: Retrieval
+base_model: Qwen/Qwen2-7B
 ---
 
 ## gte-Qwen2-7B-instruct