denis-gordeev
commited on
Commit
•
cdc4428
1
Parent(s):
0248880
End of training
Browse files- .gitattributes +1 -0
- README.md +345 -0
- added_tokens.json +3 -0
- config.json +225 -0
- model.safetensors +3 -0
- special_tokens_map.json +15 -0
- spm.model +3 -0
- tokenizer.json +3 -0
- tokenizer_config.json +58 -0
- training_args.bin +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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@@ -0,0 +1,345 @@
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1 |
+
---
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license: mit
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base_model: microsoft/mdeberta-v3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: multilabel_ner
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# multilabel_ner
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+
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset.
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+
It achieves the following results on the evaluation set:
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- Loss: 0.0096
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- F1 Micro: 0.5837
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- O F1 Micro: 0.6370
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- O Recall Micro: 0.9242
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- O Precision Micro: 0.4860
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- B-person F1 Micro: 0.9639
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- B-person Recall Micro: 0.9816
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- B-person Precision Micro: 0.9468
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- B-norp F1 Micro: 0.6190
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- B-norp Recall Micro: 0.8667
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- B-norp Precision Micro: 0.4815
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- B-commodity F1 Micro: 0.7553
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- B-commodity Recall Micro: 0.9470
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- B-commodity Precision Micro: 0.6281
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- B-date F1 Micro: 0.8386
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- B-date Recall Micro: 0.8471
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- B-date Precision Micro: 0.8304
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- I-date F1 Micro: 0.6419
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- I-date Recall Micro: 0.9492
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- I-date Precision Micro: 0.4849
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- B-country F1 Micro: 0.6152
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- B-country Recall Micro: 0.9765
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- B-country Precision Micro: 0.4490
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- B-economic Sector F1 Micro: 0.5576
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- B-economic Sector Recall Micro: 0.5897
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- B-economic Sector Precision Micro: 0.5287
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- I-economic Sector F1 Micro: 0.2517
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- I-economic Sector Recall Micro: 0.6667
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- I-economic Sector Precision Micro: 0.1551
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- B-news Source F1 Micro: 0.7988
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- B-news Source Recall Micro: 0.8327
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- B-news Source Precision Micro: 0.7677
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- B-profession F1 Micro: 0.8088
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- B-profession Recall Micro: 0.9464
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- B-profession Precision Micro: 0.7061
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- I-news Source F1 Micro: 0.4808
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- I-news Source Recall Micro: 0.8400
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- I-news Source Precision Micro: 0.3368
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- I-person F1 Micro: 0.3381
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- I-person Recall Micro: 0.996
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- I-person Precision Micro: 0.2036
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- B-organization F1 Micro: 0.8350
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- B-organization Recall Micro: 0.8993
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- B-organization Precision Micro: 0.7794
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- I-profession F1 Micro: 0.2462
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- I-profession Recall Micro: 0.8030
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- I-profession Precision Micro: 0.1454
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- B-event F1 Micro: 0.5658
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- B-event Recall Micro: 0.5436
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- B-event Precision Micro: 0.5899
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- B-city F1 Micro: 0.625
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- B-city Recall Micro: 0.8904
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- B-city Precision Micro: 0.4815
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- B-gpe F1 Micro: 0.6760
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- B-gpe Recall Micro: 0.9380
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73 |
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- B-gpe Precision Micro: 0.5284
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74 |
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- I-event F1 Micro: 0.2577
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- I-event Recall Micro: 0.3776
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76 |
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- I-event Precision Micro: 0.1956
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77 |
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- B-group F1 Micro: 0.6667
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78 |
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- B-group Recall Micro: 0.75
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79 |
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- B-group Precision Micro: 0.6
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80 |
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- B-ordinal F1 Micro: 0.5306
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81 |
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- B-ordinal Recall Micro: 0.8125
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82 |
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- B-ordinal Precision Micro: 0.3939
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- B-product F1 Micro: 0.6683
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84 |
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- B-product Recall Micro: 0.8232
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85 |
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- B-product Precision Micro: 0.5625
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86 |
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- I-organization F1 Micro: 0.3128
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87 |
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- I-organization Recall Micro: 0.8425
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88 |
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- I-organization Precision Micro: 0.1921
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89 |
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- B-money F1 Micro: 0.8530
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90 |
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- B-money Recall Micro: 0.8947
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91 |
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- B-money Precision Micro: 0.8151
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92 |
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- I-money F1 Micro: 0.6259
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93 |
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- I-money Recall Micro: 0.9644
|
94 |
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- I-money Precision Micro: 0.4632
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95 |
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- B-currency F1 Micro: 0.7441
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96 |
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- B-currency Recall Micro: 0.9658
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97 |
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- B-currency Precision Micro: 0.6052
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98 |
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- B-percent F1 Micro: 0.8639
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99 |
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- B-percent Recall Micro: 0.8902
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100 |
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- B-percent Precision Micro: 0.8391
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101 |
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- I-percent F1 Micro: 0.6995
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102 |
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- I-percent Recall Micro: 0.9846
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103 |
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- I-percent Precision Micro: 0.5424
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104 |
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- I-group F1 Micro: 0.1844
|
105 |
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- I-group Recall Micro: 0.4836
|
106 |
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- I-group Precision Micro: 0.1139
|
107 |
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- B-cardinal F1 Micro: 0.6903
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108 |
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- B-cardinal Recall Micro: 0.7358
|
109 |
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- B-cardinal Precision Micro: 0.65
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110 |
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- B-law F1 Micro: 0.3704
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111 |
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- B-law Recall Micro: 0.3571
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112 |
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- B-law Precision Micro: 0.3846
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113 |
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- I-law F1 Micro: 0.3246
|
114 |
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- I-law Recall Micro: 0.3936
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115 |
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- I-law Precision Micro: 0.2761
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116 |
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- B-fac F1 Micro: 0.6910
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117 |
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- B-fac Recall Micro: 0.6910
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118 |
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- B-fac Precision Micro: 0.6910
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119 |
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- I-fac F1 Micro: 0.3007
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120 |
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- I-fac Recall Micro: 0.7151
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121 |
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- I-fac Precision Micro: 0.1904
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122 |
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- B-age F1 Micro: 0.8649
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123 |
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- B-age Recall Micro: 0.7619
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124 |
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- B-age Precision Micro: 1.0
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125 |
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- I-city F1 Micro: 0.1047
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126 |
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- I-city Recall Micro: 0.6429
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127 |
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- I-city Precision Micro: 0.0570
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128 |
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- B-work Of Art F1 Micro: 0.3158
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129 |
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- B-work Of Art Recall Micro: 0.375
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130 |
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- B-work Of Art Precision Micro: 0.2727
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131 |
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- I-work Of Art F1 Micro: 0.3721
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132 |
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- I-work Of Art Recall Micro: 0.5
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133 |
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- I-work Of Art Precision Micro: 0.2963
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134 |
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- B-region F1 Micro: 0.8070
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135 |
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- B-region Recall Micro: 0.7731
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136 |
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- B-region Precision Micro: 0.8440
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- I-region F1 Micro: 0.2817
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138 |
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- I-region Recall Micro: 0.8197
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139 |
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- I-region Precision Micro: 0.1701
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140 |
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- I-cardinal F1 Micro: 0.3851
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141 |
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- I-cardinal Recall Micro: 0.4831
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142 |
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- I-cardinal Precision Micro: 0.3202
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143 |
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- I-currency F1 Micro: 0.0
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144 |
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- I-currency Recall Micro: 0.0
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145 |
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- I-currency Precision Micro: 0.0
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146 |
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- B-quantity F1 Micro: 0.7311
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147 |
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- B-quantity Recall Micro: 0.7311
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148 |
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- B-quantity Precision Micro: 0.7311
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149 |
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- I-quantity F1 Micro: 0.4889
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150 |
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- I-quantity Recall Micro: 0.7989
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151 |
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- I-quantity Precision Micro: 0.3522
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152 |
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- B-crime F1 Micro: 0.3736
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153 |
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- B-crime Recall Micro: 0.4048
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154 |
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- B-crime Precision Micro: 0.3469
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155 |
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- I-crime F1 Micro: 0.3245
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156 |
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- I-crime Recall Micro: 0.5648
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157 |
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- I-crime Precision Micro: 0.2276
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158 |
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- B-trade Agreement F1 Micro: 0.7170
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159 |
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- B-trade Agreement Recall Micro: 0.7037
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160 |
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- B-trade Agreement Precision Micro: 0.7308
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161 |
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- B-nationality F1 Micro: 0.0
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162 |
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- B-nationality Recall Micro: 0.0
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163 |
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- B-nationality Precision Micro: 0.0
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164 |
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- B-family F1 Micro: 0.5
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165 |
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- B-family Recall Micro: 0.8889
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166 |
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- B-family Precision Micro: 0.3478
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167 |
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- I-family F1 Micro: 0.0
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168 |
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- I-family Recall Micro: 0.0
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169 |
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- I-family Precision Micro: 0.0
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170 |
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- I-product F1 Micro: 0.2021
|
171 |
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- I-product Recall Micro: 0.6824
|
172 |
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- I-product Precision Micro: 0.1186
|
173 |
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- B-time F1 Micro: 0.6538
|
174 |
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- B-time Recall Micro: 0.6296
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175 |
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- B-time Precision Micro: 0.68
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176 |
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- I-time F1 Micro: 0.6118
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177 |
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- I-time Recall Micro: 0.9811
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178 |
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- I-time Precision Micro: 0.4444
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179 |
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- I-commodity F1 Micro: 0.0444
|
180 |
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- I-commodity Recall Micro: 0.1667
|
181 |
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- I-commodity Precision Micro: 0.0256
|
182 |
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- B-application F1 Micro: 0.0
|
183 |
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- B-application Recall Micro: 0.0
|
184 |
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- B-application Precision Micro: 0.0
|
185 |
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- I-application F1 Micro: 0.0
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186 |
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- I-application Recall Micro: 0.0
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187 |
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- I-application Precision Micro: 0.0
|
188 |
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- I-country F1 Micro: 0.1695
|
189 |
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- I-country Recall Micro: 0.7895
|
190 |
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- I-country Precision Micro: 0.0949
|
191 |
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- B-award F1 Micro: 0.5455
|
192 |
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- B-award Recall Micro: 0.4615
|
193 |
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- B-award Precision Micro: 0.6667
|
194 |
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- I-award F1 Micro: 0.4459
|
195 |
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- I-award Recall Micro: 0.8049
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196 |
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- I-award Precision Micro: 0.3084
|
197 |
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- I-gpe F1 Micro: 0.3284
|
198 |
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- I-gpe Recall Micro: 0.9167
|
199 |
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- I-gpe Precision Micro: 0.2
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200 |
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- B-location F1 Micro: 0.4885
|
201 |
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- B-location Recall Micro: 0.5161
|
202 |
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- B-location Precision Micro: 0.4638
|
203 |
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- I-location F1 Micro: 0.3189
|
204 |
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- I-location Recall Micro: 0.6316
|
205 |
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- I-location Precision Micro: 0.2133
|
206 |
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- I-ordinal F1 Micro: 0.5
|
207 |
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- I-ordinal Recall Micro: 0.4
|
208 |
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- I-ordinal Precision Micro: 0.6667
|
209 |
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- I-trade Agreement F1 Micro: 0.1163
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210 |
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- I-trade Agreement Recall Micro: 0.3846
|
211 |
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- I-trade Agreement Precision Micro: 0.0685
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212 |
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- B-religion F1 Micro: 0.0
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213 |
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- B-religion Recall Micro: 0.0
|
214 |
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- B-religion Precision Micro: 0.0
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215 |
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- I-age F1 Micro: 0.4324
|
216 |
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- I-age Recall Micro: 0.5714
|
217 |
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- I-age Precision Micro: 0.3478
|
218 |
+
- B-investment Program F1 Micro: 0.0
|
219 |
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- B-investment Program Recall Micro: 0.0
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220 |
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- B-investment Program Precision Micro: 0.0
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221 |
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- I-investment Program F1 Micro: 0.0
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222 |
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- I-investment Program Recall Micro: 0.0
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223 |
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- I-investment Program Precision Micro: 0.0
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224 |
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- B-borough F1 Micro: 0.7059
|
225 |
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- B-borough Recall Micro: 0.6667
|
226 |
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- B-borough Precision Micro: 0.75
|
227 |
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- B-price F1 Micro: 0.0
|
228 |
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- B-price Recall Micro: 0.0
|
229 |
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- B-price Precision Micro: 0.0
|
230 |
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- I-price F1 Micro: 0.0
|
231 |
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- I-price Recall Micro: 0.0
|
232 |
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- I-price Precision Micro: 0.0
|
233 |
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- B-character F1 Micro: 0.0
|
234 |
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- B-character Recall Micro: 0.0
|
235 |
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- B-character Precision Micro: 0.0
|
236 |
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- I-character F1 Micro: 0.0
|
237 |
+
- I-character Recall Micro: 0.0
|
238 |
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- I-character Precision Micro: 0.0
|
239 |
+
- B-website F1 Micro: 0.0
|
240 |
+
- B-website Recall Micro: 0.0
|
241 |
+
- B-website Precision Micro: 0.0
|
242 |
+
- B-street F1 Micro: 0.4000
|
243 |
+
- B-street Recall Micro: 0.4286
|
244 |
+
- B-street Precision Micro: 0.375
|
245 |
+
- I-street F1 Micro: 0.3256
|
246 |
+
- I-street Recall Micro: 1.0
|
247 |
+
- I-street Precision Micro: 0.1944
|
248 |
+
- B-village F1 Micro: 0.6667
|
249 |
+
- B-village Recall Micro: 0.7
|
250 |
+
- B-village Precision Micro: 0.6364
|
251 |
+
- I-village F1 Micro: 0.2222
|
252 |
+
- I-village Recall Micro: 0.875
|
253 |
+
- I-village Precision Micro: 0.1273
|
254 |
+
- B-disease F1 Micro: 0.5965
|
255 |
+
- B-disease Recall Micro: 0.7083
|
256 |
+
- B-disease Precision Micro: 0.5152
|
257 |
+
- I-disease F1 Micro: 0.3704
|
258 |
+
- I-disease Recall Micro: 0.7812
|
259 |
+
- I-disease Precision Micro: 0.2427
|
260 |
+
- B-penalty F1 Micro: 0.1579
|
261 |
+
- B-penalty Recall Micro: 0.1579
|
262 |
+
- B-penalty Precision Micro: 0.1579
|
263 |
+
- I-penalty F1 Micro: 0.1674
|
264 |
+
- I-penalty Recall Micro: 0.3175
|
265 |
+
- I-penalty Precision Micro: 0.1136
|
266 |
+
- B-weapon F1 Micro: 0.6715
|
267 |
+
- B-weapon Recall Micro: 0.7302
|
268 |
+
- B-weapon Precision Micro: 0.6216
|
269 |
+
- I-weapon F1 Micro: 0.2455
|
270 |
+
- I-weapon Recall Micro: 0.5965
|
271 |
+
- I-weapon Precision Micro: 0.1545
|
272 |
+
- I-borough F1 Micro: 0.4091
|
273 |
+
- I-borough Recall Micro: 0.6923
|
274 |
+
- I-borough Precision Micro: 0.2903
|
275 |
+
- B-vehicle F1 Micro: 0.6349
|
276 |
+
- B-vehicle Recall Micro: 0.5882
|
277 |
+
- B-vehicle Precision Micro: 0.6897
|
278 |
+
- I-vehicle F1 Micro: 0.4174
|
279 |
+
- I-vehicle Recall Micro: 0.7273
|
280 |
+
- I-vehicle Precision Micro: 0.2927
|
281 |
+
- B-language F1 Micro: 0.0
|
282 |
+
- B-language Recall Micro: 0.0
|
283 |
+
- B-language Precision Micro: 0.0
|
284 |
+
- I-language F1 Micro: 0.0
|
285 |
+
- I-language Recall Micro: 0.0
|
286 |
+
- I-language Precision Micro: 0.0
|
287 |
+
- B-house F1 Micro: 0.0
|
288 |
+
- B-house Recall Micro: 0.0
|
289 |
+
- B-house Precision Micro: 0.0
|
290 |
+
- I-norp F1 Micro: 0.0
|
291 |
+
- I-norp Recall Micro: 0.0
|
292 |
+
- I-norp Precision Micro: 0.0
|
293 |
+
- I-house F1 Micro: 0.0
|
294 |
+
- I-house Recall Micro: 0.0
|
295 |
+
- I-house Precision Micro: 0.0
|
296 |
+
- I-website F1 Micro: 0.0
|
297 |
+
- I-website Recall Micro: 0.0
|
298 |
+
- I-website Precision Micro: 0.0
|
299 |
+
- F1 Macro: 0.3969
|
300 |
+
- Recall Macro: 0.5603
|
301 |
+
- Precision Macro: 0.3447
|
302 |
+
|
303 |
+
## Model description
|
304 |
+
|
305 |
+
More information needed
|
306 |
+
|
307 |
+
## Intended uses & limitations
|
308 |
+
|
309 |
+
More information needed
|
310 |
+
|
311 |
+
## Training and evaluation data
|
312 |
+
|
313 |
+
More information needed
|
314 |
+
|
315 |
+
## Training procedure
|
316 |
+
|
317 |
+
### Training hyperparameters
|
318 |
+
|
319 |
+
The following hyperparameters were used during training:
|
320 |
+
- learning_rate: 1e-05
|
321 |
+
- train_batch_size: 4
|
322 |
+
- eval_batch_size: 4
|
323 |
+
- seed: 42
|
324 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
325 |
+
- lr_scheduler_type: linear
|
326 |
+
- num_epochs: 10000
|
327 |
+
- mixed_precision_training: Native AMP
|
328 |
+
|
329 |
+
### Training results
|
330 |
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|
331 |
+
| Training Loss | Epoch | Step | Validation Loss | F1 Micro | O F1 Micro | O Recall Micro | O Precision Micro | B-person F1 Micro | B-person Recall Micro | B-person Precision Micro | B-norp F1 Micro | B-norp Recall Micro | B-norp Precision Micro | B-commodity F1 Micro | B-commodity Recall Micro | B-commodity Precision Micro | B-date F1 Micro | B-date Recall Micro | B-date Precision Micro | I-date F1 Micro | I-date Recall Micro | I-date Precision Micro | B-country F1 Micro | B-country Recall Micro | B-country Precision Micro | B-economic Sector F1 Micro | B-economic Sector Recall Micro | B-economic Sector Precision Micro | I-economic Sector F1 Micro | I-economic Sector Recall Micro | I-economic Sector Precision Micro | B-news Source F1 Micro | B-news Source Recall Micro | B-news Source Precision Micro | B-profession F1 Micro | B-profession Recall Micro | B-profession Precision Micro | I-news Source F1 Micro | I-news Source Recall Micro | I-news Source Precision Micro | I-person F1 Micro | I-person Recall Micro | I-person Precision Micro | B-organization F1 Micro | B-organization Recall Micro | B-organization Precision Micro | I-profession F1 Micro | I-profession Recall Micro | I-profession Precision Micro | B-event F1 Micro | B-event Recall Micro | B-event Precision Micro | B-city F1 Micro | B-city Recall Micro | B-city Precision Micro | B-gpe F1 Micro | B-gpe Recall Micro | B-gpe Precision Micro | I-event F1 Micro | I-event Recall Micro | I-event Precision Micro | B-group F1 Micro | B-group Recall Micro | B-group Precision Micro | B-ordinal F1 Micro | B-ordinal Recall Micro | B-ordinal Precision Micro | B-product F1 Micro | B-product Recall Micro | B-product Precision Micro | I-organization F1 Micro | I-organization Recall Micro | I-organization Precision Micro | B-money F1 Micro | B-money Recall Micro | B-money Precision Micro | I-money F1 Micro | I-money Recall Micro | I-money Precision Micro | B-currency F1 Micro | B-currency Recall Micro | B-currency Precision Micro | B-percent F1 Micro | B-percent Recall Micro | B-percent Precision Micro | I-percent F1 Micro | I-percent Recall Micro | I-percent Precision Micro | I-group F1 Micro | I-group Recall Micro | I-group Precision Micro | B-cardinal F1 Micro | B-cardinal Recall Micro | B-cardinal Precision Micro | B-law F1 Micro | B-law Recall Micro | B-law Precision Micro | I-law F1 Micro | I-law Recall Micro | I-law Precision Micro | B-fac F1 Micro | B-fac Recall Micro | B-fac Precision Micro | I-fac F1 Micro | I-fac Recall Micro | I-fac Precision Micro | B-age F1 Micro | B-age Recall Micro | B-age Precision Micro | I-city F1 Micro | I-city Recall Micro | I-city Precision Micro | B-work Of Art F1 Micro | B-work Of Art Recall Micro | B-work Of Art Precision Micro | I-work Of Art F1 Micro | I-work Of Art Recall Micro | I-work Of Art Precision Micro | B-region F1 Micro | B-region Recall Micro | B-region Precision Micro | I-region F1 Micro | I-region Recall Micro | I-region Precision Micro | I-cardinal F1 Micro | I-cardinal Recall Micro | I-cardinal Precision Micro | I-currency F1 Micro | I-currency Recall Micro | I-currency Precision Micro | B-quantity F1 Micro | B-quantity Recall Micro | B-quantity Precision Micro | I-quantity F1 Micro | I-quantity Recall Micro | I-quantity Precision Micro | B-crime F1 Micro | B-crime Recall Micro | B-crime Precision Micro | I-crime F1 Micro | I-crime Recall Micro | I-crime Precision Micro | B-trade Agreement F1 Micro | B-trade Agreement Recall Micro | B-trade Agreement Precision Micro | B-nationality F1 Micro | B-nationality Recall Micro | B-nationality Precision Micro | B-family F1 Micro | B-family Recall Micro | B-family Precision Micro | I-family F1 Micro | I-family Recall Micro | I-family Precision Micro | I-product F1 Micro | I-product Recall Micro | I-product Precision Micro | B-time F1 Micro | B-time Recall Micro | B-time Precision Micro | I-time F1 Micro | I-time Recall Micro | I-time Precision Micro | I-commodity F1 Micro | I-commodity Recall Micro | I-commodity Precision Micro | B-application F1 Micro | B-application Recall Micro | B-application Precision Micro | I-application F1 Micro | I-application Recall Micro | I-application Precision Micro | I-country F1 Micro | I-country Recall Micro | I-country Precision Micro | B-award F1 Micro | B-award Recall Micro | B-award Precision Micro | I-award F1 Micro | I-award Recall Micro | I-award Precision Micro | I-gpe F1 Micro | I-gpe Recall Micro | I-gpe Precision Micro | B-location F1 Micro | B-location Recall Micro | B-location Precision Micro | I-location F1 Micro | I-location Recall Micro | I-location Precision Micro | I-ordinal F1 Micro | I-ordinal Recall Micro | I-ordinal Precision Micro | I-trade Agreement F1 Micro | I-trade Agreement Recall Micro | I-trade Agreement Precision Micro | B-religion F1 Micro | B-religion Recall Micro | B-religion Precision Micro | I-age F1 Micro | I-age Recall Micro | I-age Precision Micro | B-investment Program F1 Micro | B-investment Program Recall Micro | B-investment Program Precision Micro | I-investment Program F1 Micro | I-investment Program Recall Micro | I-investment Program Precision Micro | B-borough F1 Micro | B-borough Recall Micro | B-borough Precision Micro | B-price F1 Micro | B-price Recall Micro | B-price Precision Micro | I-price F1 Micro | I-price Recall Micro | I-price Precision Micro | B-character F1 Micro | B-character Recall Micro | B-character Precision Micro | I-character F1 Micro | I-character Recall Micro | I-character Precision Micro | B-website F1 Micro | B-website Recall Micro | B-website Precision Micro | B-street F1 Micro | B-street Recall Micro | B-street Precision Micro | I-street F1 Micro | I-street Recall Micro | I-street Precision Micro | B-village F1 Micro | B-village Recall Micro | B-village Precision Micro | I-village F1 Micro | I-village Recall Micro | I-village Precision Micro | B-disease F1 Micro | B-disease Recall Micro | B-disease Precision Micro | I-disease F1 Micro | I-disease Recall Micro | I-disease Precision Micro | B-penalty F1 Micro | B-penalty Recall Micro | B-penalty Precision Micro | I-penalty F1 Micro | I-penalty Recall Micro | I-penalty Precision Micro | B-weapon F1 Micro | B-weapon Recall Micro | B-weapon Precision Micro | I-weapon F1 Micro | I-weapon Recall Micro | I-weapon Precision Micro | I-borough F1 Micro | I-borough Recall Micro | I-borough Precision Micro | B-vehicle F1 Micro | B-vehicle Recall Micro | B-vehicle Precision Micro | I-vehicle F1 Micro | I-vehicle Recall Micro | I-vehicle Precision Micro | B-language F1 Micro | B-language Recall Micro | B-language Precision Micro | I-language F1 Micro | I-language Recall Micro | I-language Precision Micro | B-house F1 Micro | B-house Recall Micro | B-house Precision Micro | I-norp F1 Micro | I-norp Recall Micro | I-norp Precision Micro | I-house F1 Micro | I-house Recall Micro | I-house Precision Micro | I-website F1 Micro | I-website Recall Micro | I-website Precision Micro | F1 Macro | Recall Macro | Precision Macro |
|
332 |
+
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|
333 |
+
| 0.0033 | 1.0 | 3014 | 0.0092 | 0.5876 | 0.6385 | 0.9365 | 0.4844 | 0.9705 | 0.9816 | 0.9596 | 0.6118 | 0.8667 | 0.4727 | 0.7873 | 0.9394 | 0.6776 | 0.8436 | 0.8571 | 0.8304 | 0.6416 | 0.9669 | 0.4801 | 0.6229 | 0.9831 | 0.4559 | 0.6024 | 0.6410 | 0.5682 | 0.2491 | 0.5965 | 0.1574 | 0.7954 | 0.8306 | 0.7630 | 0.8659 | 0.9184 | 0.8191 | 0.4757 | 0.8461 | 0.3309 | 0.3331 | 0.996 | 0.2 | 0.8277 | 0.9038 | 0.7633 | 0.2675 | 0.7652 | 0.1621 | 0.5617 | 0.5291 | 0.5987 | 0.7347 | 0.8630 | 0.6396 | 0.6989 | 0.9535 | 0.5516 | 0.2461 | 0.3922 | 0.1793 | 0.7073 | 0.7143 | 0.7004 | 0.592 | 0.7708 | 0.4805 | 0.7213 | 0.8049 | 0.6535 | 0.3127 | 0.8040 | 0.1941 | 0.88 | 0.9098 | 0.8521 | 0.6312 | 0.9502 | 0.4726 | 0.7622 | 0.9658 | 0.6295 | 0.8824 | 0.9146 | 0.8523 | 0.6952 | 1.0 | 0.5328 | 0.1762 | 0.4426 | 0.1100 | 0.6688 | 0.6604 | 0.6774 | 0.3846 | 0.3571 | 0.4167 | 0.2473 | 0.3617 | 0.1878 | 0.7348 | 0.7253 | 0.7445 | 0.3085 | 0.6977 | 0.1980 | 0.8333 | 0.7143 | 1.0 | 0.1010 | 0.7143 | 0.0543 | 0.3333 | 0.25 | 0.5 | 0.4242 | 0.4375 | 0.4118 | 0.7729 | 0.8151 | 0.7348 | 0.2865 | 0.8033 | 0.1744 | 0.4196 | 0.5085 | 0.3571 | 0.0 | 0.0 | 0.0 | 0.7177 | 0.7479 | 0.6899 | 0.4931 | 0.7933 | 0.3577 | 0.3789 | 0.4286 | 0.3396 | 0.3341 | 0.6574 | 0.2240 | 0.6415 | 0.6296 | 0.6538 | 0.0 | 0.0 | 0.0 | 0.4737 | 1.0 | 0.3103 | 0.0 | 0.0 | 0.0 | 0.2270 | 0.5647 | 0.1420 | 0.6667 | 0.6667 | 0.6667 | 0.5854 | 0.9057 | 0.4324 | 0.0741 | 0.1667 | 0.0476 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1867 | 0.7368 | 0.1069 | 0.4444 | 0.3077 | 0.8 | 0.4706 | 0.7805 | 0.3368 | 0.2619 | 0.9167 | 0.1528 | 0.4878 | 0.4839 | 0.4918 | 0.2997 | 0.6053 | 0.1991 | 0.25 | 0.2 | 0.3333 | 0.1154 | 0.2308 | 0.0769 | 0.0 | 0.0 | 0.0 | 0.3750 | 0.6429 | 0.2647 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6667 | 0.6667 | 0.6667 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.5 | 0.5714 | 0.4444 | 0.3333 | 1.0 | 0.2 | 0.6222 | 0.7 | 0.56 | 0.2424 | 1.0 | 0.1379 | 0.5778 | 0.5417 | 0.6190 | 0.3425 | 0.7812 | 0.2193 | 0.1212 | 0.1053 | 0.1429 | 0.1847 | 0.3651 | 0.1237 | 0.7015 | 0.7460 | 0.6620 | 0.2256 | 0.5263 | 0.1435 | 0.4045 | 0.6923 | 0.2857 | 0.7143 | 0.7353 | 0.6944 | 0.3826 | 0.6667 | 0.2683 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3969 | 0.5513 | 0.3515 |
|
334 |
+
| 0.0032 | 2.0 | 6028 | 0.0096 | 0.5837 | 0.6370 | 0.9242 | 0.4860 | 0.9639 | 0.9816 | 0.9468 | 0.6190 | 0.8667 | 0.4815 | 0.7553 | 0.9470 | 0.6281 | 0.8386 | 0.8471 | 0.8304 | 0.6419 | 0.9492 | 0.4849 | 0.6152 | 0.9765 | 0.4490 | 0.5576 | 0.5897 | 0.5287 | 0.2517 | 0.6667 | 0.1551 | 0.7988 | 0.8327 | 0.7677 | 0.8088 | 0.9464 | 0.7061 | 0.4808 | 0.8400 | 0.3368 | 0.3381 | 0.996 | 0.2036 | 0.8350 | 0.8993 | 0.7794 | 0.2462 | 0.8030 | 0.1454 | 0.5658 | 0.5436 | 0.5899 | 0.625 | 0.8904 | 0.4815 | 0.6760 | 0.9380 | 0.5284 | 0.2577 | 0.3776 | 0.1956 | 0.6667 | 0.75 | 0.6 | 0.5306 | 0.8125 | 0.3939 | 0.6683 | 0.8232 | 0.5625 | 0.3128 | 0.8425 | 0.1921 | 0.8530 | 0.8947 | 0.8151 | 0.6259 | 0.9644 | 0.4632 | 0.7441 | 0.9658 | 0.6052 | 0.8639 | 0.8902 | 0.8391 | 0.6995 | 0.9846 | 0.5424 | 0.1844 | 0.4836 | 0.1139 | 0.6903 | 0.7358 | 0.65 | 0.3704 | 0.3571 | 0.3846 | 0.3246 | 0.3936 | 0.2761 | 0.6910 | 0.6910 | 0.6910 | 0.3007 | 0.7151 | 0.1904 | 0.8649 | 0.7619 | 1.0 | 0.1047 | 0.6429 | 0.0570 | 0.3158 | 0.375 | 0.2727 | 0.3721 | 0.5 | 0.2963 | 0.8070 | 0.7731 | 0.8440 | 0.2817 | 0.8197 | 0.1701 | 0.3851 | 0.4831 | 0.3202 | 0.0 | 0.0 | 0.0 | 0.7311 | 0.7311 | 0.7311 | 0.4889 | 0.7989 | 0.3522 | 0.3736 | 0.4048 | 0.3469 | 0.3245 | 0.5648 | 0.2276 | 0.7170 | 0.7037 | 0.7308 | 0.0 | 0.0 | 0.0 | 0.5 | 0.8889 | 0.3478 | 0.0 | 0.0 | 0.0 | 0.2021 | 0.6824 | 0.1186 | 0.6538 | 0.6296 | 0.68 | 0.6118 | 0.9811 | 0.4444 | 0.0444 | 0.1667 | 0.0256 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1695 | 0.7895 | 0.0949 | 0.5455 | 0.4615 | 0.6667 | 0.4459 | 0.8049 | 0.3084 | 0.3284 | 0.9167 | 0.2 | 0.4885 | 0.5161 | 0.4638 | 0.3189 | 0.6316 | 0.2133 | 0.5 | 0.4 | 0.6667 | 0.1163 | 0.3846 | 0.0685 | 0.0 | 0.0 | 0.0 | 0.4324 | 0.5714 | 0.3478 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7059 | 0.6667 | 0.75 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4000 | 0.4286 | 0.375 | 0.3256 | 1.0 | 0.1944 | 0.6667 | 0.7 | 0.6364 | 0.2222 | 0.875 | 0.1273 | 0.5965 | 0.7083 | 0.5152 | 0.3704 | 0.7812 | 0.2427 | 0.1579 | 0.1579 | 0.1579 | 0.1674 | 0.3175 | 0.1136 | 0.6715 | 0.7302 | 0.6216 | 0.2455 | 0.5965 | 0.1545 | 0.4091 | 0.6923 | 0.2903 | 0.6349 | 0.5882 | 0.6897 | 0.4174 | 0.7273 | 0.2927 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3969 | 0.5603 | 0.3447 |
|
335 |
+
| 0.0029 | 3.0 | 9042 | 0.0102 | 0.5857 | 0.6369 | 0.9367 | 0.4824 | 0.9555 | 0.9862 | 0.9266 | 0.5909 | 0.8667 | 0.4483 | 0.7590 | 0.9545 | 0.63 | 0.8374 | 0.8551 | 0.8205 | 0.6347 | 0.9752 | 0.4704 | 0.6097 | 0.9817 | 0.4422 | 0.6286 | 0.7051 | 0.5670 | 0.2581 | 0.6316 | 0.1622 | 0.7871 | 0.8347 | 0.7446 | 0.8664 | 0.9371 | 0.8056 | 0.4789 | 0.8564 | 0.3324 | 0.3383 | 0.996 | 0.2038 | 0.8071 | 0.8929 | 0.7364 | 0.2440 | 0.8106 | 0.1436 | 0.5397 | 0.4738 | 0.6269 | 0.7014 | 0.8767 | 0.5845 | 0.6503 | 0.9225 | 0.5021 | 0.2354 | 0.3306 | 0.1828 | 0.6799 | 0.75 | 0.6217 | 0.592 | 0.7708 | 0.4805 | 0.7163 | 0.7622 | 0.6757 | 0.3133 | 0.8077 | 0.1944 | 0.8278 | 0.8496 | 0.8071 | 0.6187 | 0.9644 | 0.4555 | 0.7749 | 0.9315 | 0.6634 | 0.8606 | 0.8659 | 0.8554 | 0.688 | 0.9923 | 0.5265 | 0.1872 | 0.4918 | 0.1156 | 0.6826 | 0.7170 | 0.6514 | 0.4286 | 0.4286 | 0.4286 | 0.2900 | 0.4149 | 0.2229 | 0.7124 | 0.6910 | 0.7352 | 0.3132 | 0.7093 | 0.2010 | 0.8649 | 0.7619 | 1.0 | 0.0988 | 0.5714 | 0.0541 | 0.1429 | 0.125 | 0.1667 | 0.3889 | 0.4375 | 0.35 | 0.7317 | 0.7563 | 0.7087 | 0.2889 | 0.8525 | 0.1739 | 0.4224 | 0.5763 | 0.3333 | 0.0 | 0.0 | 0.0 | 0.7265 | 0.7143 | 0.7391 | 0.4936 | 0.7598 | 0.3656 | 0.3564 | 0.4286 | 0.3051 | 0.2857 | 0.6944 | 0.1799 | 0.6471 | 0.8148 | 0.5366 | 0.0 | 0.0 | 0.0 | 0.5455 | 1.0 | 0.375 | 0.0 | 0.0 | 0.0 | 0.2392 | 0.5529 | 0.1526 | 0.6415 | 0.6296 | 0.6538 | 0.6 | 0.9057 | 0.4486 | 0.1176 | 0.6667 | 0.0645 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1436 | 0.7368 | 0.0795 | 0.4286 | 0.4615 | 0.4 | 0.4595 | 0.8293 | 0.3178 | 0.3548 | 0.9167 | 0.22 | 0.5197 | 0.5323 | 0.5077 | 0.3300 | 0.6447 | 0.2217 | 0.4444 | 0.4 | 0.5 | 0.0870 | 0.2308 | 0.0536 | 0.0 | 0.0 | 0.0 | 0.3902 | 0.5714 | 0.2963 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6471 | 0.6111 | 0.6875 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4000 | 0.4286 | 0.375 | 0.3256 | 1.0 | 0.1944 | 0.6829 | 0.7 | 0.6667 | 0.2258 | 0.875 | 0.1296 | 0.4928 | 0.7083 | 0.3778 | 0.3521 | 0.7812 | 0.2273 | 0.15 | 0.1579 | 0.1429 | 0.2128 | 0.3175 | 0.16 | 0.7059 | 0.7619 | 0.6575 | 0.2581 | 0.7018 | 0.1581 | 0.3956 | 0.6923 | 0.2769 | 0.7143 | 0.7353 | 0.6944 | 0.4915 | 0.8788 | 0.3412 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3958 | 0.5647 | 0.3398 |
|
336 |
+
| 0.0026 | 4.0 | 12056 | 0.0105 | 0.5820 | 0.6363 | 0.9236 | 0.4854 | 0.9661 | 0.9839 | 0.9490 | 0.6118 | 0.8667 | 0.4727 | 0.7568 | 0.9545 | 0.6269 | 0.8481 | 0.8370 | 0.8595 | 0.6525 | 0.9587 | 0.4945 | 0.6156 | 0.9844 | 0.4478 | 0.6125 | 0.6282 | 0.5976 | 0.2618 | 0.6316 | 0.1651 | 0.8011 | 0.8448 | 0.7618 | 0.8447 | 0.9254 | 0.7769 | 0.4769 | 0.8303 | 0.3346 | 0.3379 | 0.996 | 0.2034 | 0.8171 | 0.8938 | 0.7525 | 0.2480 | 0.8182 | 0.1461 | 0.5205 | 0.5174 | 0.5235 | 0.6432 | 0.8767 | 0.5079 | 0.6821 | 0.9147 | 0.5438 | 0.2270 | 0.4441 | 0.1525 | 0.6405 | 0.7460 | 0.5612 | 0.6016 | 0.7708 | 0.4933 | 0.7299 | 0.7744 | 0.6902 | 0.3177 | 0.8059 | 0.1978 | 0.8699 | 0.8797 | 0.8603 | 0.6308 | 0.9395 | 0.4748 | 0.7637 | 0.9521 | 0.6376 | 0.8571 | 0.8780 | 0.8372 | 0.688 | 0.9923 | 0.5265 | 0.1887 | 0.4918 | 0.1167 | 0.6879 | 0.7484 | 0.6364 | 0.3333 | 0.3571 | 0.3125 | 0.2439 | 0.3723 | 0.1813 | 0.6925 | 0.6910 | 0.6940 | 0.3186 | 0.7326 | 0.2036 | 0.8333 | 0.7143 | 1.0 | 0.1046 | 0.5714 | 0.0576 | 0.2857 | 0.25 | 0.3333 | 0.3333 | 0.4375 | 0.2692 | 0.7583 | 0.7647 | 0.7521 | 0.2985 | 0.8197 | 0.1825 | 0.3416 | 0.4661 | 0.2696 | 0.0 | 0.0 | 0.0 | 0.7113 | 0.7143 | 0.7083 | 0.4965 | 0.7877 | 0.3625 | 0.3800 | 0.4524 | 0.3276 | 0.3125 | 0.6944 | 0.2016 | 0.6545 | 0.6667 | 0.6429 | 0.0 | 0.0 | 0.0 | 0.5143 | 1.0 | 0.3462 | 0.0 | 0.0 | 0.0 | 0.2338 | 0.5294 | 0.15 | 0.6429 | 0.6667 | 0.6207 | 0.5561 | 0.9811 | 0.3881 | 0.1481 | 0.6667 | 0.0833 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1172 | 0.7368 | 0.0636 | 0.4762 | 0.3846 | 0.625 | 0.4648 | 0.8049 | 0.3267 | 0.2299 | 0.8333 | 0.1333 | 0.4429 | 0.5 | 0.3974 | 0.3009 | 0.6711 | 0.1939 | 0.4444 | 0.4 | 0.5 | 0.0714 | 0.1538 | 0.0465 | 0.0 | 0.0 | 0.0 | 0.4118 | 0.5 | 0.35 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7568 | 0.7778 | 0.7368 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3077 | 0.2857 | 0.3333 | 0.3333 | 1.0 | 0.2 | 0.6667 | 0.75 | 0.6 | 0.2222 | 0.875 | 0.1273 | 0.5246 | 0.6667 | 0.4324 | 0.3145 | 0.7812 | 0.1969 | 0.1818 | 0.2105 | 0.16 | 0.1910 | 0.3016 | 0.1397 | 0.6341 | 0.8254 | 0.5149 | 0.2434 | 0.6491 | 0.1498 | 0.3925 | 0.8077 | 0.2593 | 0.7042 | 0.7353 | 0.6757 | 0.4265 | 0.8788 | 0.2816 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3908 | 0.5625 | 0.3356 |
|
337 |
+
| 0.0024 | 5.0 | 15070 | 0.0106 | 0.5861 | 0.6371 | 0.9416 | 0.4815 | 0.9805 | 0.9839 | 0.9772 | 0.5909 | 0.8667 | 0.4483 | 0.8039 | 0.9470 | 0.6983 | 0.7907 | 0.7827 | 0.7988 | 0.6354 | 0.9126 | 0.4874 | 0.6076 | 0.9791 | 0.4405 | 0.5590 | 0.5769 | 0.5422 | 0.2528 | 0.5965 | 0.1604 | 0.7992 | 0.8508 | 0.7536 | 0.8109 | 0.9347 | 0.7161 | 0.4823 | 0.8485 | 0.3369 | 0.3381 | 0.996 | 0.2036 | 0.8518 | 0.9103 | 0.8003 | 0.2566 | 0.8106 | 0.1524 | 0.5482 | 0.5203 | 0.5793 | 0.6995 | 0.8767 | 0.5818 | 0.6629 | 0.8992 | 0.5249 | 0.2411 | 0.3355 | 0.1882 | 0.6858 | 0.7103 | 0.6630 | 0.5455 | 0.8125 | 0.4105 | 0.6468 | 0.7927 | 0.5462 | 0.3140 | 0.8498 | 0.1926 | 0.8722 | 0.8722 | 0.8722 | 0.6272 | 0.9431 | 0.4699 | 0.7363 | 0.9658 | 0.5949 | 0.8690 | 0.8902 | 0.8488 | 0.6904 | 0.9692 | 0.5362 | 0.1986 | 0.4590 | 0.1267 | 0.7049 | 0.7736 | 0.6474 | 0.3125 | 0.3571 | 0.2778 | 0.2397 | 0.4043 | 0.1704 | 0.6680 | 0.6953 | 0.6429 | 0.3102 | 0.7267 | 0.1972 | 0.8649 | 0.7619 | 1.0 | 0.0859 | 0.5 | 0.0470 | 0.2667 | 0.25 | 0.2857 | 0.3333 | 0.4375 | 0.2692 | 0.7819 | 0.7983 | 0.7661 | 0.2779 | 0.8361 | 0.1667 | 0.4099 | 0.5593 | 0.3235 | 0.0 | 0.0 | 0.0 | 0.7378 | 0.6975 | 0.7830 | 0.4953 | 0.7318 | 0.3743 | 0.3191 | 0.3571 | 0.2885 | 0.3052 | 0.5185 | 0.2162 | 0.6667 | 0.8519 | 0.5476 | 0.0 | 0.0 | 0.0 | 0.5625 | 1.0 | 0.3913 | 0.0 | 0.0 | 0.0 | 0.25 | 0.5765 | 0.1596 | 0.5926 | 0.5926 | 0.5926 | 0.56 | 0.9245 | 0.4016 | 0.1067 | 0.6667 | 0.0580 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.1266 | 0.7895 | 0.0688 | 0.3478 | 0.3077 | 0.4 | 0.4828 | 0.6829 | 0.3733 | 0.2933 | 0.9167 | 0.1746 | 0.4885 | 0.5161 | 0.4638 | 0.3055 | 0.5526 | 0.2111 | 0.4615 | 0.6 | 0.375 | 0.1034 | 0.2308 | 0.0667 | 0.0 | 0.0 | 0.0 | 0.4091 | 0.6429 | 0.3 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.7647 | 0.7222 | 0.8125 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.4000 | 0.4286 | 0.375 | 0.3333 | 1.0 | 0.2 | 0.6341 | 0.65 | 0.6190 | 0.2034 | 0.75 | 0.1176 | 0.3404 | 0.6667 | 0.2286 | 0.3356 | 0.7812 | 0.2137 | 0.2041 | 0.2632 | 0.1667 | 0.3077 | 0.4444 | 0.2353 | 0.6483 | 0.7460 | 0.5732 | 0.2628 | 0.6316 | 0.1659 | 0.4368 | 0.7308 | 0.3115 | 0.7385 | 0.7059 | 0.7742 | 0.448 | 0.8485 | 0.3043 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.3916 | 0.5600 | 0.3347 |
|
338 |
+
|
339 |
+
|
340 |
+
### Framework versions
|
341 |
+
|
342 |
+
- Transformers 4.35.0
|
343 |
+
- Pytorch 2.1.0+cu121
|
344 |
+
- Datasets 2.2.2
|
345 |
+
- Tokenizers 0.14.1
|
added_tokens.json
ADDED
@@ -0,0 +1,3 @@
|
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|
1 |
+
{
|
2 |
+
"[MASK]": 250101
|
3 |
+
}
|
config.json
ADDED
@@ -0,0 +1,225 @@
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|
1 |
+
{
|
2 |
+
"_name_or_path": "microsoft/mdeberta-v3-base",
|
3 |
+
"architectures": [
|
4 |
+
"DebertaV2ForTokenClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.1,
|
7 |
+
"hidden_act": "gelu",
|
8 |
+
"hidden_dropout_prob": 0.1,
|
9 |
+
"hidden_size": 768,
|
10 |
+
"id2label": {
|
11 |
+
"0": "O",
|
12 |
+
"1": "B-PERSON",
|
13 |
+
"2": "B-NORP",
|
14 |
+
"3": "B-COMMODITY",
|
15 |
+
"4": "B-DATE",
|
16 |
+
"5": "I-DATE",
|
17 |
+
"6": "B-COUNTRY",
|
18 |
+
"7": "B-ECONOMIC_SECTOR",
|
19 |
+
"8": "I-ECONOMIC_SECTOR",
|
20 |
+
"9": "B-NEWS_SOURCE",
|
21 |
+
"10": "B-PROFESSION",
|
22 |
+
"11": "I-NEWS_SOURCE",
|
23 |
+
"12": "I-PERSON",
|
24 |
+
"13": "B-ORGANIZATION",
|
25 |
+
"14": "I-PROFESSION",
|
26 |
+
"15": "B-EVENT",
|
27 |
+
"16": "B-CITY",
|
28 |
+
"17": "B-GPE",
|
29 |
+
"18": "I-EVENT",
|
30 |
+
"19": "B-GROUP",
|
31 |
+
"20": "B-ORDINAL",
|
32 |
+
"21": "B-PRODUCT",
|
33 |
+
"22": "I-ORGANIZATION",
|
34 |
+
"23": "B-MONEY",
|
35 |
+
"24": "I-MONEY",
|
36 |
+
"25": "B-CURRENCY",
|
37 |
+
"26": "B-PERCENT",
|
38 |
+
"27": "I-PERCENT",
|
39 |
+
"28": "I-GROUP",
|
40 |
+
"29": "B-CARDINAL",
|
41 |
+
"30": "B-LAW",
|
42 |
+
"31": "I-LAW",
|
43 |
+
"32": "B-FAC",
|
44 |
+
"33": "I-FAC",
|
45 |
+
"34": "B-AGE",
|
46 |
+
"35": "I-CITY",
|
47 |
+
"36": "B-WORK_OF_ART",
|
48 |
+
"37": "I-WORK_OF_ART",
|
49 |
+
"38": "B-REGION",
|
50 |
+
"39": "I-REGION",
|
51 |
+
"40": "I-CARDINAL",
|
52 |
+
"41": "I-CURRENCY",
|
53 |
+
"42": "B-QUANTITY",
|
54 |
+
"43": "I-QUANTITY",
|
55 |
+
"44": "B-CRIME",
|
56 |
+
"45": "I-CRIME",
|
57 |
+
"46": "B-TRADE_AGREEMENT",
|
58 |
+
"47": "B-NATIONALITY",
|
59 |
+
"48": "B-FAMILY",
|
60 |
+
"49": "I-FAMILY",
|
61 |
+
"50": "I-PRODUCT",
|
62 |
+
"51": "B-TIME",
|
63 |
+
"52": "I-TIME",
|
64 |
+
"53": "I-COMMODITY",
|
65 |
+
"54": "B-APPLICATION",
|
66 |
+
"55": "I-APPLICATION",
|
67 |
+
"56": "I-COUNTRY",
|
68 |
+
"57": "B-AWARD",
|
69 |
+
"58": "I-AWARD",
|
70 |
+
"59": "I-GPE",
|
71 |
+
"60": "B-LOCATION",
|
72 |
+
"61": "I-LOCATION",
|
73 |
+
"62": "I-ORDINAL",
|
74 |
+
"63": "I-TRADE_AGREEMENT",
|
75 |
+
"64": "B-RELIGION",
|
76 |
+
"65": "I-AGE",
|
77 |
+
"66": "B-INVESTMENT_PROGRAM",
|
78 |
+
"67": "I-INVESTMENT_PROGRAM",
|
79 |
+
"68": "B-BOROUGH",
|
80 |
+
"69": "B-PRICE",
|
81 |
+
"70": "I-PRICE",
|
82 |
+
"71": "B-CHARACTER",
|
83 |
+
"72": "I-CHARACTER",
|
84 |
+
"73": "B-WEBSITE",
|
85 |
+
"74": "B-STREET",
|
86 |
+
"75": "I-STREET",
|
87 |
+
"76": "B-VILLAGE",
|
88 |
+
"77": "I-VILLAGE",
|
89 |
+
"78": "B-DISEASE",
|
90 |
+
"79": "I-DISEASE",
|
91 |
+
"80": "B-PENALTY",
|
92 |
+
"81": "I-PENALTY",
|
93 |
+
"82": "B-WEAPON",
|
94 |
+
"83": "I-WEAPON",
|
95 |
+
"84": "I-BOROUGH",
|
96 |
+
"85": "B-VEHICLE",
|
97 |
+
"86": "I-VEHICLE",
|
98 |
+
"87": "B-LANGUAGE",
|
99 |
+
"88": "I-LANGUAGE",
|
100 |
+
"89": "B-HOUSE",
|
101 |
+
"90": "I-NORP",
|
102 |
+
"91": "I-HOUSE",
|
103 |
+
"92": "I-WEBSITE"
|
104 |
+
},
|
105 |
+
"initializer_range": 0.02,
|
106 |
+
"intermediate_size": 3072,
|
107 |
+
"label2id": {
|
108 |
+
"B-AGE": 34,
|
109 |
+
"B-APPLICATION": 54,
|
110 |
+
"B-AWARD": 57,
|
111 |
+
"B-BOROUGH": 68,
|
112 |
+
"B-CARDINAL": 29,
|
113 |
+
"B-CHARACTER": 71,
|
114 |
+
"B-CITY": 16,
|
115 |
+
"B-COMMODITY": 3,
|
116 |
+
"B-COUNTRY": 6,
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
214 |
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"p2c",
|
215 |
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|
216 |
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|
217 |
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|
218 |
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|
219 |
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|
220 |
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|
221 |
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|
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|
223 |
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|
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|
225 |
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}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:5835fbcbbdb58b868f0474e0e742b61c0d2be6d811241a5c2a4e439543c408a6
|
3 |
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size 1113185580
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special_tokens_map.json
ADDED
@@ -0,0 +1,15 @@
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|
|
|
|
|
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|
|
|
|
|
|
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|
|
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|
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|
|
|
|
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|
1 |
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{
|
2 |
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|
3 |
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"cls_token": "[CLS]",
|
4 |
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"eos_token": "[SEP]",
|
5 |
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|
6 |
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"pad_token": "[PAD]",
|
7 |
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|
8 |
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|
9 |
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|
10 |
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|
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|
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|
13 |
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|
14 |
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}
|
15 |
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}
|
spm.model
ADDED
@@ -0,0 +1,3 @@
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|
|
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|
|
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|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3
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3 |
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size 4305025
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tokenizer.json
ADDED
@@ -0,0 +1,3 @@
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|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b8526679586383c62039cf0a3fde1398f047c9f2927186be57eb14e2c229279a
|
3 |
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size 16331328
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tokenizer_config.json
ADDED
@@ -0,0 +1,58 @@
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|
|
1 |
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{
|
2 |
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|
3 |
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|
4 |
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|
5 |
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|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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},
|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
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|
16 |
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|
17 |
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|
18 |
+
},
|
19 |
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"2": {
|
20 |
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|
21 |
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|
22 |
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|
23 |
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|
24 |
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|
25 |
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|
26 |
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},
|
27 |
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"3": {
|
28 |
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|
29 |
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|
30 |
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|
31 |
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|
32 |
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|
33 |
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"special": true
|
34 |
+
},
|
35 |
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|
36 |
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|
37 |
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|
38 |
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|
39 |
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|
40 |
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|
41 |
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|
42 |
+
}
|
43 |
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},
|
44 |
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"bos_token": "[CLS]",
|
45 |
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|
46 |
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"cls_token": "[CLS]",
|
47 |
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|
48 |
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"eos_token": "[SEP]",
|
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"mask_token": "[MASK]",
|
50 |
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"model_max_length": 1000000000000000019884624838656,
|
51 |
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"pad_token": "[PAD]",
|
52 |
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|
53 |
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"sp_model_kwargs": {},
|
54 |
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"split_by_punct": false,
|
55 |
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"tokenizer_class": "DebertaV2Tokenizer",
|
56 |
+
"unk_token": "[UNK]",
|
57 |
+
"vocab_type": "spm"
|
58 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:d8b5d5b79e7ec03ce40af3680fcdbbc9a21bdb37aa8a3e32d45bf86c9a8f73f5
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size 4536
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