model update
Browse files
README.md
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@@ -12,70 +12,62 @@ model-index:
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name: Token Classification
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type: token-classification
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dataset:
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name: tner/tweetner7
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type: tner/tweetner7
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args: tner/tweetner7
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metrics:
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- name: F1
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type: f1
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value: 0.609117361784675
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- name: Precision
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type: precision
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value: 0.6011938281337988
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- name: Recall
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type: recall
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value: 0.6172525439407955
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-
- name: F1 (
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type: f1_macro
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value: 0.559165089199025
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-
- name: Precision (
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type: precision_macro
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value: 0.5499368578582033
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| 34 |
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- name: Recall (
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type: recall_macro
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value: 0.5694430718770875
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| 37 |
-
- name: F1 (
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type: f1_entity_span
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value: 0.7572194954913822
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| 40 |
-
- name: Precision (
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type: precision_entity_span
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value: 0.7474929577464788
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| 43 |
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- name: Recall (
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type: recall_entity_span
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value: 0.7672024979761767
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-
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name: Token Classification
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type: token-classification
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dataset:
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name: tner/tweetner7/test_2020
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type: tner/tweetner7/test_2020
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args: tner/tweetner7/test_2020
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metrics:
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| 54 |
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- name: F1
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type: f1
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| 56 |
value: 0.6103825136612021
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| 57 |
-
- name: Precision
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| 58 |
type: precision
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| 59 |
value: 0.6445470282746683
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| 60 |
-
- name: Recall
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type: recall
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| 62 |
value: 0.5796574987026466
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| 63 |
-
- name: F1 (
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| 64 |
type: f1_macro
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| 65 |
value: 0.5675359874657813
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| 66 |
-
- name: Precision (
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| 67 |
type: precision_macro
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value: 0.6021803835272678
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| 69 |
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- name: Recall (
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type: recall_macro
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value: 0.5387624182505003
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| 72 |
-
- name: F1 (
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type: f1_entity_span
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value: 0.7273224043715847
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| 75 |
-
- name: Precision (
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type: precision_entity_span
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value: 0.7680323139065205
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| 78 |
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- name: Recall (
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type: recall_entity_span
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value: 0.6907109496626881
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| 12 |
name: Token Classification
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| 13 |
type: token-classification
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dataset:
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name: tner/tweetner7
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type: tner/tweetner7
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args: tner/tweetner7
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metrics:
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- name: F1 (test_2021)
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type: f1
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value: 0.609117361784675
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| 22 |
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- name: Precision (test_2021)
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| 23 |
type: precision
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| 24 |
value: 0.6011938281337988
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| 25 |
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- name: Recall (test_2021)
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type: recall
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value: 0.6172525439407955
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| 28 |
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- name: Macro F1 (test_2021)
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| 29 |
type: f1_macro
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| 30 |
value: 0.559165089199025
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| 31 |
+
- name: Macro Precision (test_2021)
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| 32 |
type: precision_macro
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| 33 |
value: 0.5499368578582033
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| 34 |
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- name: Macro Recall (test_2021)
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type: recall_macro
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value: 0.5694430718770875
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| 37 |
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- name: Entity Span F1 (test_2021)
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type: f1_entity_span
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value: 0.7572194954913822
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- name: Entity Span Precision (test_2020)
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type: precision_entity_span
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value: 0.7474929577464788
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- name: Entity Span Recall (test_2021)
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type: recall_entity_span
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value: 0.7672024979761767
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| 46 |
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- name: F1 (test_2020)
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type: f1
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value: 0.6103825136612021
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| 49 |
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- name: Precision (test_2020)
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| 50 |
type: precision
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value: 0.6445470282746683
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| 52 |
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- name: Recall (test_2020)
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type: recall
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value: 0.5796574987026466
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| 55 |
+
- name: Macro F1 (test_2020)
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| 56 |
type: f1_macro
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| 57 |
value: 0.5675359874657813
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| 58 |
+
- name: Macro Precision (test_2020)
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| 59 |
type: precision_macro
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value: 0.6021803835272678
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| 61 |
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- name: Macro Recall (test_2020)
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| 62 |
type: recall_macro
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| 63 |
value: 0.5387624182505003
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| 64 |
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- name: Entity Span F1 (test_2020)
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| 65 |
type: f1_entity_span
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value: 0.7273224043715847
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| 67 |
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- name: Entity Span Precision (test_2020)
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type: precision_entity_span
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value: 0.7680323139065205
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| 70 |
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- name: Entity Span Recall (test_2020)
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type: recall_entity_span
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value: 0.6907109496626881
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