fin-mpnet-base / mteb_metadata.md
Julian Mukaj
Initial commit
0a13784
metadata
tags:
  - mteb
model-index:
  - name: fin-mpnet-base-v0.1
    results:
      - task:
          type: Classification
        dataset:
          type: mteb/banking77
          name: MTEB Banking77Classification
          config: default
          split: test
          revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
        metrics:
          - type: accuracy
            value: 80.25
          - type: f1
            value: 79.64999520103544
      - task:
          type: Retrieval
        dataset:
          type: fiqa
          name: MTEB FiQA2018
          config: default
          split: test
          revision: None
        metrics:
          - type: map_at_1
            value: 37.747
          - type: map_at_10
            value: 72.223
          - type: map_at_100
            value: 73.802
          - type: map_at_1000
            value: 73.80499999999999
          - type: map_at_3
            value: 61.617999999999995
          - type: map_at_5
            value: 67.92200000000001
          - type: mrr_at_1
            value: 71.914
          - type: mrr_at_10
            value: 80.71000000000001
          - type: mrr_at_100
            value: 80.901
          - type: mrr_at_1000
            value: 80.901
          - type: mrr_at_3
            value: 78.935
          - type: mrr_at_5
            value: 80.193
          - type: ndcg_at_1
            value: 71.914
          - type: ndcg_at_10
            value: 79.912
          - type: ndcg_at_100
            value: 82.675
          - type: ndcg_at_1000
            value: 82.702
          - type: ndcg_at_3
            value: 73.252
          - type: ndcg_at_5
            value: 76.36
          - type: precision_at_1
            value: 71.914
          - type: precision_at_10
            value: 23.071
          - type: precision_at_100
            value: 2.62
          - type: precision_at_1000
            value: 0.263
          - type: precision_at_3
            value: 51.235
          - type: precision_at_5
            value: 38.117000000000004
          - type: recall_at_1
            value: 37.747
          - type: recall_at_10
            value: 91.346
          - type: recall_at_100
            value: 99.776
          - type: recall_at_1000
            value: 99.897
          - type: recall_at_3
            value: 68.691
          - type: recall_at_5
            value: 80.742