pooya-davoodi-parasail
commited on
Add vllm tag
Browse files
README.md
CHANGED
@@ -6,6 +6,7 @@ datasets:
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- GritLM/tulu2
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tags:
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- mteb
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model-index:
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- name: GritLM-7B
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results:
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@@ -510,7 +511,7 @@ model-index:
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- type: map_at_5
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value: 29.767
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- type: mrr_at_1
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-
value: 25
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- type: mrr_at_10
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value: 36.131
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- type: mrr_at_100
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@@ -522,7 +523,7 @@ model-index:
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- type: mrr_at_5
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value: 35.143
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- type: ndcg_at_1
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-
value: 25
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- type: ndcg_at_10
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value: 37.478
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- type: ndcg_at_100
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@@ -534,7 +535,7 @@ model-index:
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- type: ndcg_at_5
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value: 34.821999999999996
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- type: precision_at_1
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value: 25
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- type: precision_at_10
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value: 7.188999999999999
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- type: precision_at_100
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@@ -2200,9 +2201,9 @@ model-index:
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- type: recall_at_10
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value: 91.822
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- type: recall_at_100
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-
value: 97
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- type: recall_at_1000
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value: 100
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- type: recall_at_3
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value: 78.878
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- type: recall_at_5
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@@ -2245,7 +2246,7 @@ model-index:
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- type: euclidean_precision
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value: 88.64864864864866
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- type: euclidean_recall
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-
value: 82
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- type: manhattan_accuracy
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value: 99.73267326732673
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- type: manhattan_ap
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@@ -2255,7 +2256,7 @@ model-index:
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- type: manhattan_precision
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value: 87.86610878661088
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- type: manhattan_recall
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2258 |
-
value: 84
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- type: max_accuracy
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value: 99.73267326732673
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- type: max_ap
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@@ -2334,9 +2335,9 @@ model-index:
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- type: map_at_3
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value: 0.636
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- type: map_at_5
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-
value: 1
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2338 |
- type: mrr_at_1
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-
value: 88
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- type: mrr_at_10
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value: 93.667
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- type: mrr_at_100
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@@ -2348,7 +2349,7 @@ model-index:
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- type: mrr_at_5
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value: 93.667
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- type: ndcg_at_1
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2351 |
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value: 85
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- type: ndcg_at_10
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value: 74.798
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- type: ndcg_at_100
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@@ -2360,9 +2361,9 @@ model-index:
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- type: ndcg_at_5
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value: 77.319
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- type: precision_at_1
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value: 88
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2364 |
- type: precision_at_10
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value: 78
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- type: precision_at_100
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value: 7.8
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- type: precision_at_1000
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- GritLM/tulu2
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tags:
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- mteb
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+
- vllm
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model-index:
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- name: GritLM-7B
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results:
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|
|
511 |
- type: map_at_5
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512 |
value: 29.767
|
513 |
- type: mrr_at_1
|
514 |
+
value: 25
|
515 |
- type: mrr_at_10
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516 |
value: 36.131
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517 |
- type: mrr_at_100
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|
523 |
- type: mrr_at_5
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524 |
value: 35.143
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525 |
- type: ndcg_at_1
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526 |
+
value: 25
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527 |
- type: ndcg_at_10
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528 |
value: 37.478
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529 |
- type: ndcg_at_100
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|
535 |
- type: ndcg_at_5
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536 |
value: 34.821999999999996
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537 |
- type: precision_at_1
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538 |
+
value: 25
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539 |
- type: precision_at_10
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540 |
value: 7.188999999999999
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- type: precision_at_100
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2201 |
- type: recall_at_10
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2202 |
value: 91.822
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2203 |
- type: recall_at_100
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2204 |
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value: 97
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2205 |
- type: recall_at_1000
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+
value: 100
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2207 |
- type: recall_at_3
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value: 78.878
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- type: recall_at_5
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2246 |
- type: euclidean_precision
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2247 |
value: 88.64864864864866
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2248 |
- type: euclidean_recall
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2249 |
+
value: 82
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2250 |
- type: manhattan_accuracy
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2251 |
value: 99.73267326732673
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2252 |
- type: manhattan_ap
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2256 |
- type: manhattan_precision
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2257 |
value: 87.86610878661088
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2258 |
- type: manhattan_recall
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2259 |
+
value: 84
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2260 |
- type: max_accuracy
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2261 |
value: 99.73267326732673
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2262 |
- type: max_ap
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2335 |
- type: map_at_3
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2336 |
value: 0.636
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2337 |
- type: map_at_5
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2338 |
+
value: 1
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2339 |
- type: mrr_at_1
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2340 |
+
value: 88
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2341 |
- type: mrr_at_10
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2342 |
value: 93.667
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2343 |
- type: mrr_at_100
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2349 |
- type: mrr_at_5
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2350 |
value: 93.667
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2351 |
- type: ndcg_at_1
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2352 |
+
value: 85
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2353 |
- type: ndcg_at_10
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2354 |
value: 74.798
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2355 |
- type: ndcg_at_100
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|
2361 |
- type: ndcg_at_5
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2362 |
value: 77.319
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2363 |
- type: precision_at_1
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2364 |
+
value: 88
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2365 |
- type: precision_at_10
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2366 |
+
value: 78
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2367 |
- type: precision_at_100
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2368 |
value: 7.8
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- type: precision_at_1000
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