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leaderboard-score

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zhao rui commited on
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1 Parent(s): c06b755

all icl and ft

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  1. data/train-[01-ai@Yi-1.5-6B-Chat][Setting1][icl][answer.txt].json +1 -1
  2. data/train-[01-ai@Yi-1.5-6B-Chat][Setting2][icl][answer.txt].json +14 -0
  3. data/train-[01-ai@Yi-1.5-6B-Chat][Setting3][icl][answer.txt].json +1 -1
  4. data/train-[EleutherAI@pythia-1b][Setting1][icl][answer.txt].json +1 -1
  5. data/train-[EleutherAI@pythia-1b][Setting2][icl][answer.txt].json +4 -4
  6. data/train-[EleutherAI@pythia-1b][Setting3][icl][answer.txt].json +2 -2
  7. data/train-[EleutherAI@pythia-2.8b][Setting1][icl][answer.txt].json +3 -3
  8. data/train-[EleutherAI@pythia-2.8b][Setting2][icl][answer.txt].json +1 -1
  9. data/train-[EleutherAI@pythia-2.8b][Setting3][icl][answer.txt].json +1 -1
  10. data/train-[Qwen@Qwen1.5-7B-Chat][Setting1][icl][answer.txt].json +1 -1
  11. data/train-[Qwen@Qwen1.5-7B-Chat][Setting2][icl][answer.txt].json +14 -0
  12. data/train-[Qwen@Qwen1.5-7B-Chat][Setting3][icl][answer.txt].json +2 -2
  13. data/train-[meta-llama@Llama-2-7b-hf][Setting1][icl][answer.txt].json +1 -1
  14. data/train-[meta-llama@Llama-2-7b-hf][Setting2][icl][answer.txt].json +14 -0
  15. data/train-[meta-llama@Llama-2-7b-hf][Setting3][icl][answer.txt].json +3 -3
  16. data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting1][icl][answer.txt].json +1 -1
  17. data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting2][icl][answer.txt].json +1 -1
  18. data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting3][icl][answer.txt].json +3 -3
  19. data/train-[meta-llama@Meta-Llama-3-8B][Setting1][icl][answer.txt].json +1 -1
  20. data/train-[meta-llama@Meta-Llama-3-8B][Setting2][icl][answer.txt].json +1 -1
  21. data/train-[meta-llama@Meta-Llama-3-8B][Setting3][icl][answer.txt].json +1 -1
  22. data/train-[microsoft@Phi-3-mini-4k-instruct][Setting1][icl][answer.txt].json +1 -1
  23. data/train-[microsoft@Phi-3-mini-4k-instruct][Setting2][icl][answer.txt].json +3 -3
  24. data/train-[microsoft@Phi-3-mini-4k-instruct][Setting3][icl][answer.txt].json +1 -1
  25. data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting1][icl][answer.txt].json +3 -3
  26. data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting2][icl][answer.txt].json +14 -0
  27. data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting3][icl][answer.txt].json +3 -3
  28. data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  29. data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  30. data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +1 -1
  31. data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  32. data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  33. data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +14 -0
  34. data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +3 -3
  35. data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  36. data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +14 -0
  37. data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  38. data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  39. data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +3 -3
  40. data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  41. data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  42. data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +2 -2
  43. data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  44. data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  45. data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +3 -3
  46. data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  47. data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
  48. data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting3][Setting3][ft][answer.txt].json +2 -2
  49. data/train-[zhaorui-nb@pythia-1b._.lora_ft._.Setting1][Setting1][ft][answer.txt].json +14 -0
  50. data/train-[zhaorui-nb@pythia-1b._.lora_ft._.Setting2][Setting2][ft][answer.txt].json +14 -0
data/train-[01-ai@Yi-1.5-6B-Chat][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.4478102446656038,
11
  "MACRO recall": 0.2489239128477117,
12
  "MACRO f1": 0.319980518002156,
13
- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.5352372178719484,\n \"recall\": 0.2740242895884919,\n \"f1\": 0.3624736801060594,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.6281911411739035,\n \"recall\": 0.2920470683708663,\n \"f1\": 0.3987258500103871,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.7566633761105627,\n \"recall\": 0.34253156071947266,\n \"f1\": 0.4715834807352149,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.7972571428571429,\n \"recall\": 0.4552930426837227,\n \"f1\": 0.5795945496842805,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.41732283464566927,\n \"recall\": 0.37857142857142856,\n \"f1\": 0.3970037453183521,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.673740658337612,\n \"recall\": 0.3364576507791801,\n \"f1\": 0.4487934638039141,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4478102446656038,\n \"recall\": 0.2489239128477117,\n \"f1\": 0.319980518002156,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.4478102446656038,
11
  "MACRO recall": 0.2489239128477117,
12
  "MACRO f1": 0.319980518002156,
13
+ "detail result": "{\n \"ID\": {\n \"precision\": 0.7566633761105627,\n \"recall\": 0.34253156071947266,\n \"f1\": 0.4715834807352149,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.7972571428571429,\n \"recall\": 0.4552930426837227,\n \"f1\": 0.5795945496842805,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.41732283464566927,\n \"recall\": 0.37857142857142856,\n \"f1\": 0.3970037453183521,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.6281911411739035,\n \"recall\": 0.2920470683708663,\n \"f1\": 0.3987258500103871,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.5352372178719484,\n \"recall\": 0.2740242895884919,\n \"f1\": 0.3624736801060594,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.673740658337612,\n \"recall\": 0.3364576507791801,\n \"f1\": 0.4487934638039141,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4478102446656038,\n \"recall\": 0.2489239128477117,\n \"f1\": 0.319980518002156,\n \"support\": 35101\n }\n}"
14
  }
data/train-[01-ai@Yi-1.5-6B-Chat][Setting2][icl][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model name": "01-ai@Yi-1.5-6B-Chat",
3
+ "dataset": "Setting2",
4
+ "method": "icl",
5
+ "file name": "answer.txt",
6
+ "submitter": "zhaorui",
7
+ "MICRO precision": 0.3962607587695348,
8
+ "MICRO recall": 0.1807003189735928,
9
+ "MICRO f1": 0.2482123951461846,
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+ "MACRO precision": 0.31765561435440415,
11
+ "MACRO recall": 0.17586627891346523,
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+ "MACRO f1": 0.22639283741829033,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.5772517159266004,\n \"recall\": 0.6081759149940968,\n \"f1\": 0.5923104563420769,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.23333333333333334,\n \"recall\": 0.006329113924050633,\n \"f1\": 0.01232394366197183,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.45361826129188926,\n \"recall\": 0.18899231080534196,\n \"f1\": 0.26681902585344947,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.02564102564102564,\n \"recall\": 0.0003455425017277125,\n \"f1\": 0.0006818956699624957,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.42473118279569894,\n \"recall\": 0.21703296703296704,\n \"f1\": 0.2872727272727273,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.25829764453961457,\n \"recall\": 0.11024791500057124,\n \"f1\": 0.15453599167267196,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.25071613695266676,\n \"recall\": 0.09994018813550105,\n \"f1\": 0.14291268175103025,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.3962607587695348,\n \"recall\": 0.1807003189735928,\n \"f1\": 0.2482123951461846,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.31765561435440415,\n \"recall\": 0.17586627891346523,\n \"f1\": 0.22639283741829033,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[01-ai@Yi-1.5-6B-Chat][Setting3][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.8014655324352548,
11
  "MACRO recall": 0.5762680173621171,
12
  "MACRO f1": 0.670461938636052,
13
- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.566747572815534,\n \"recall\": 0.3286418015482055,\n \"f1\": 0.4160356347438752,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8167994966442953,\n \"recall\": 0.5671326634629387,\n \"f1\": 0.669445638160722,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8608566193311956,\n \"recall\": 0.5441187115454217,\n \"f1\": 0.6667849381292412,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.8891784391715813,\n \"recall\": 0.8323276415457697,\n \"f1\": 0.859814323607427,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8270029889917621,\n \"recall\": 0.5915419512958231,\n \"f1\": 0.6897306499665592,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7702618453865336,\n \"recall\": 0.6048959608323133,\n \"f1\": 0.6776360894007953,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.8794117647058823,\n \"recall\": 0.5652173913043478,\n \"f1\": 0.6881472957422324,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8332569648093842,\n \"recall\": 0.6006606110652354,\n \"f1\": 0.698094013320793,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8014655324352548,\n \"recall\": 0.5762680173621171,\n \"f1\": 0.670461938636052,\n \"support\": 60550\n }\n}"
14
  }
 
10
  "MACRO precision": 0.8014655324352548,
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  "MACRO recall": 0.5762680173621171,
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  "MACRO f1": 0.670461938636052,
13
+ "detail result": "{\n \"ID\": {\n \"precision\": 0.8891784391715813,\n \"recall\": 0.8323276415457697,\n \"f1\": 0.859814323607427,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 0.8794117647058823,\n \"recall\": 0.5652173913043478,\n \"f1\": 0.6881472957422324,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.8270029889917621,\n \"recall\": 0.5915419512958231,\n \"f1\": 0.6897306499665592,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.566747572815534,\n \"recall\": 0.3286418015482055,\n \"f1\": 0.4160356347438752,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.7702618453865336,\n \"recall\": 0.6048959608323133,\n \"f1\": 0.6776360894007953,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.8608566193311956,\n \"recall\": 0.5441187115454217,\n \"f1\": 0.6667849381292412,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.8167994966442953,\n \"recall\": 0.5671326634629387,\n \"f1\": 0.669445638160722,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8332569648093842,\n \"recall\": 0.6006606110652354,\n \"f1\": 0.698094013320793,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8014655324352548,\n \"recall\": 0.5762680173621171,\n \"f1\": 0.670461938636052,\n \"support\": 60550\n }\n}"
14
  }
data/train-[EleutherAI@pythia-1b][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.36385013148523615,
11
  "MACRO recall": 0.15398112838442618,
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  "MACRO f1": 0.21638729891671737,
13
- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.3914399584127534,\n \"recall\": 0.26636009904492397,\n \"f1\": 0.3170081392085321,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.7067866516685414,\n \"recall\": 0.19121525664434977,\n \"f1\": 0.30099800399201593,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.45235707121364094,\n \"recall\": 0.20154172718132052,\n \"f1\": 0.27884689697812814,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.7463672391017173,\n \"recall\": 0.368750815820389,\n \"f1\": 0.49362222610518963,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.25,\n \"recall\": 0.05,\n \"f1\": 0.08333333333333334,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5385511868981169,\n \"recall\": 0.2501353237799493,\n \"f1\": 0.3416076569916738,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.36385013148523615,\n \"recall\": 0.15398112838442618,\n \"f1\": 0.21638729891671737,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.36385013148523615,
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  "MACRO recall": 0.15398112838442618,
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  "MACRO f1": 0.21638729891671737,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.45235707121364094,\n \"recall\": 0.20154172718132052,\n \"f1\": 0.27884689697812814,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.7463672391017173,\n \"recall\": 0.368750815820389,\n \"f1\": 0.49362222610518963,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.25,\n \"recall\": 0.05,\n \"f1\": 0.08333333333333334,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.7067866516685414,\n \"recall\": 0.19121525664434977,\n \"f1\": 0.30099800399201593,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.3914399584127534,\n \"recall\": 0.26636009904492397,\n \"f1\": 0.3170081392085321,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5385511868981169,\n \"recall\": 0.2501353237799493,\n \"f1\": 0.3416076569916738,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.36385013148523615,\n \"recall\": 0.15398112838442618,\n \"f1\": 0.21638729891671737,\n \"support\": 35101\n }\n}"
14
  }
data/train-[EleutherAI@pythia-1b][Setting2][icl][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
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  "MICRO precision": 0.22947159960392474,
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  "MICRO recall": 0.1511389373080526,
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  "MICRO f1": 0.18224452737385438,
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- "MACRO precision": 0.2461725286425307,
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- "MACRO recall": 0.1471914623429555,
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- "MACRO f1": 0.1842288328872183,
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- "detail result": "{\n \"CONTACT\": {\n \"precision\": 0.11428571428571428,\n \"recall\": 0.003616636528028933,\n \"f1\": 0.007011393514460999,\n \"support\": 1106\n },\n \"AGE\": {\n \"precision\": 0.4815595363540569,\n \"recall\": 0.057067932067932065,\n \"f1\": 0.10204309478620074,\n \"support\": 8008\n },\n \"ID\": {\n \"precision\": 0.4749574105621806,\n \"recall\": 0.6171782762691853,\n \"f1\": 0.5368076503433669,\n \"support\": 6776\n },\n \"LOCATION\": {\n \"precision\": 0.08061344868265828,\n \"recall\": 0.07026162458585627,\n \"f1\": 0.07508240752044927,\n \"support\": 17506\n },\n \"DATE\": {\n \"precision\": 0.45404242237934217,\n \"recall\": 0.14943342776203966,\n \"f1\": 0.22486107939407782,\n \"support\": 29652\n },\n \"NAME\": {\n \"precision\": 0.11774916823376248,\n \"recall\": 0.13278233918764612,\n \"f1\": 0.12481472016355737,\n \"support\": 18391\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.22947159960392474,\n \"recall\": 0.1511389373080526,\n \"f1\": 0.18224452737385438,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2461725286425307,\n \"recall\": 0.1471914623429555,\n \"f1\": 0.1842288328872183,\n \"support\": 84333\n }\n}"
14
  }
 
7
  "MICRO precision": 0.22947159960392474,
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  "MICRO recall": 0.1511389373080526,
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  "MICRO f1": 0.18224452737385438,
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+ "MACRO precision": 0.24617252864253067,
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+ "MACRO recall": 0.14719146234295546,
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14
  }
data/train-[EleutherAI@pythia-1b][Setting3][icl][answer.txt].json CHANGED
@@ -8,7 +8,7 @@
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  "MICRO recall": 0.55289843104872,
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  "MICRO f1": 0.673405143368635,
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  "MACRO precision": 0.8142657719733233,
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  "MACRO f1": 0.613167823560949,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.5316091954022989,\n \"recall\": 0.1301900070372977,\n \"f1\": 0.2091577162238553,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8224498506188647,\n \"recall\": 0.5612348915101208,\n \"f1\": 0.6671860122911798,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8922374429223744,\n \"recall\": 0.49504162142598623,\n \"f1\": 0.6367783985102421,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.87248322147651,\n \"recall\": 0.7844395942996534,\n \"f1\": 0.8261222282314765,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8811303704920727,\n \"recall\": 0.5593158471085155,\n \"f1\": 0.684274322169059,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.8147044212617983,\n \"recall\": 0.401468788249694,\n \"f1\": 0.5378812725483766,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.8852459016393442,\n \"recall\": 0.5103969754253308,\n \"f1\": 0.6474820143884891,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8610818179479925,\n \"recall\": 0.55289843104872,\n \"f1\": 0.673405143368635,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8142657719733233,\n \"recall\": 0.4917268178652283,\n \"f1\": 0.613167823560949,\n \"support\": 60550\n }\n}"
14
  }
 
8
  "MICRO recall": 0.55289843104872,
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  "MICRO f1": 0.673405143368635,
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  "MACRO precision": 0.8142657719733233,
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14
  }
data/train-[EleutherAI@pythia-2.8b][Setting1][icl][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
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  "MICRO precision": 0.5978835978835979,
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  "MICRO recall": 0.23500754964246032,
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  "MICRO f1": 0.3373962125240296,
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- "MACRO precision": 0.3913790245422412,
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  "MACRO recall": 0.1487511604577508,
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- "MACRO f1": 0.21557056315777565,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.5504544395245864,\n \"recall\": 0.2785048932908855,\n \"f1\": 0.36987159411212034,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.7332621082621082,\n \"recall\": 0.20886589571921282,\n \"f1\": 0.3251223748618348,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.5385248149163696,\n \"recall\": 0.21941682493576137,\n \"f1\": 0.31179552309890457,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.6285229202037351,\n \"recall\": 0.2416133664012531,\n \"f1\": 0.3490477088440505,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.28888888888888886,\n \"recall\": 0.09285714285714286,\n \"f1\": 0.14054054054054055,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5978835978835979,\n \"recall\": 0.23500754964246032,\n \"f1\": 0.3373962125240296,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.3913790245422412,\n \"recall\": 0.1487511604577508,\n \"f1\": 0.21557056315777565,\n \"support\": 35101\n }\n}"
14
  }
 
7
  "MICRO precision": 0.5978835978835979,
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  "MICRO recall": 0.23500754964246032,
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  "MICRO f1": 0.3373962125240296,
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  "MACRO recall": 0.1487511604577508,
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+ "MACRO f1": 0.21557056315777562,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.5385248149163696,\n \"recall\": 0.21941682493576137,\n \"f1\": 0.31179552309890457,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.6285229202037351,\n \"recall\": 0.2416133664012531,\n \"f1\": 0.3490477088440505,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.28888888888888886,\n \"recall\": 0.09285714285714286,\n \"f1\": 0.14054054054054055,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.7332621082621082,\n \"recall\": 0.20886589571921282,\n \"f1\": 0.3251223748618348,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.5504544395245864,\n \"recall\": 0.2785048932908855,\n \"f1\": 0.36987159411212034,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5978835978835979,\n \"recall\": 0.23500754964246032,\n \"f1\": 0.3373962125240296,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.39137902454224116,\n \"recall\": 0.1487511604577508,\n \"f1\": 0.21557056315777562,\n \"support\": 35101\n }\n}"
14
  }
data/train-[EleutherAI@pythia-2.8b][Setting2][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  "MACRO precision": 0.24981384433761367,
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  "MACRO recall": 0.14190242101638853,
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  "MACRO f1": 0.18099421673431115,
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- "detail result": "{\n \"NAME\": {\n \"precision\": 0.14414632181129644,\n \"recall\": 0.09727584144418465,\n \"f1\": 0.11616128822803713,\n \"support\": 18391\n },\n \"CONTACT\": {\n \"precision\": 0.017543859649122806,\n \"recall\": 0.0009041591320072332,\n \"f1\": 0.0017196904557179706,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"ID\": {\n \"precision\": 0.5102875706894477,\n \"recall\": 0.6258854781582054,\n \"f1\": 0.5622058726055544,\n \"support\": 6776\n },\n \"LOCATION\": {\n \"precision\": 0.09340736575766095,\n \"recall\": 0.0759168285159374,\n \"f1\": 0.08375874456418983,\n \"support\": 17506\n },\n \"DATE\": {\n \"precision\": 0.4265042807186784,\n \"recall\": 0.11928369081343586,\n \"f1\": 0.18642772433785743,\n \"support\": 29652\n },\n \"AGE\": {\n \"precision\": 0.5568075117370892,\n \"recall\": 0.07405094905094906,\n \"f1\": 0.13071751350159816,\n \"support\": 8008\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.25898794094443817,\n \"recall\": 0.136245597808687,\n \"f1\": 0.17855755334193227,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.24981384433761367,\n \"recall\": 0.14190242101638853,\n \"f1\": 0.18099421673431115,\n \"support\": 84333\n }\n}"
14
  }
 
10
  "MACRO precision": 0.24981384433761367,
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  "MACRO recall": 0.14190242101638853,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.5102875706894477,\n \"recall\": 0.6258854781582054,\n \"f1\": 0.5622058726055544,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.017543859649122806,\n \"recall\": 0.0009041591320072332,\n \"f1\": 0.0017196904557179706,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.4265042807186784,\n \"recall\": 0.11928369081343586,\n \"f1\": 0.18642772433785743,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.5568075117370892,\n \"recall\": 0.07405094905094906,\n \"f1\": 0.13071751350159816,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.09340736575766095,\n \"recall\": 0.0759168285159374,\n \"f1\": 0.08375874456418983,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.14414632181129644,\n \"recall\": 0.09727584144418465,\n \"f1\": 0.11616128822803713,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.25898794094443817,\n \"recall\": 0.136245597808687,\n \"f1\": 0.17855755334193227,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.24981384433761367,\n \"recall\": 0.14190242101638853,\n \"f1\": 0.18099421673431115,\n \"support\": 84333\n }\n}"
14
  }
data/train-[EleutherAI@pythia-2.8b][Setting3][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  "MACRO precision": 0.8181174672646854,
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  "MACRO recall": 0.5111178489794703,
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  "MACRO f1": 0.6291654080669206,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.5663157894736842,\n \"recall\": 0.1893033075299085,\n \"f1\": 0.28375527426160335,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.876635299518017,\n \"recall\": 0.5562108635503131,\n \"f1\": 0.6805951532430506,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8899406790357188,\n \"recall\": 0.5103872602243937,\n \"f1\": 0.6487257337381543,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.8936535162950258,\n \"recall\": 0.8026704326614457,\n \"f1\": 0.845722015556307,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.908964316797215,\n \"recall\": 0.5446107316055692,\n \"f1\": 0.6811230312713992,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.8117427772600186,\n \"recall\": 0.42643818849449205,\n \"f1\": 0.5591397849462366,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.7795698924731183,\n \"recall\": 0.5482041587901701,\n \"f1\": 0.6437291897891232,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8838020778675622,\n \"recall\": 0.5563501238645747,\n \"f1\": 0.6828492084405976,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8181174672646854,\n \"recall\": 0.5111178489794703,\n \"f1\": 0.6291654080669206,\n \"support\": 60550\n }\n}"
14
  }
 
10
  "MACRO precision": 0.8181174672646854,
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  "MACRO recall": 0.5111178489794703,
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  "MACRO f1": 0.6291654080669206,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.8936535162950258,\n \"recall\": 0.8026704326614457,\n \"f1\": 0.845722015556307,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 0.7795698924731183,\n \"recall\": 0.5482041587901701,\n \"f1\": 0.6437291897891232,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.908964316797215,\n \"recall\": 0.5446107316055692,\n \"f1\": 0.6811230312713992,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.5663157894736842,\n \"recall\": 0.1893033075299085,\n \"f1\": 0.28375527426160335,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.8117427772600186,\n \"recall\": 0.42643818849449205,\n \"f1\": 0.5591397849462366,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.8899406790357188,\n \"recall\": 0.5103872602243937,\n \"f1\": 0.6487257337381543,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.876635299518017,\n \"recall\": 0.5562108635503131,\n \"f1\": 0.6805951532430506,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8838020778675622,\n \"recall\": 0.5563501238645747,\n \"f1\": 0.6828492084405976,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8181174672646854,\n \"recall\": 0.5111178489794703,\n \"f1\": 0.6291654080669206,\n \"support\": 60550\n }\n}"
14
  }
data/train-[Qwen@Qwen1.5-7B-Chat][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  "MACRO precision": 0.12622549019607843,
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  "MACRO recall": 8.006893377917454e-05,
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  "MACRO f1": 0.00016003635129571264,
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- "detail result": "{\n \"NAME\": {\n \"precision\": 0.25,\n \"recall\": 0.00011791062374719962,\n \"f1\": 0.00023571007660577487,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.007352941176470588,\n \"recall\": 0.00010144045445323595,\n \"f1\": 0.00020012007204322593,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.5,\n \"recall\": 0.0002610625244746117,\n \"f1\": 0.0005218525766470972,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.027777777777777776,\n \"recall\": 0.00011395686732571722,\n \"f1\": 0.0002269825507164137,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.12622549019607843,\n \"recall\": 8.006893377917454e-05,\n \"f1\": 0.00016003635129571264,\n \"support\": 35101\n }\n}"
14
  }
 
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  "MACRO recall": 8.006893377917454e-05,
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  "MACRO f1": 0.00016003635129571264,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.5,\n \"recall\": 0.0002610625244746117,\n \"f1\": 0.0005218525766470972,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.007352941176470588,\n \"recall\": 0.00010144045445323595,\n \"f1\": 0.00020012007204322593,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.25,\n \"recall\": 0.00011791062374719962,\n \"f1\": 0.00023571007660577487,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.027777777777777776,\n \"recall\": 0.00011395686732571722,\n \"f1\": 0.0002269825507164137,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.12622549019607843,\n \"recall\": 8.006893377917454e-05,\n \"f1\": 0.00016003635129571264,\n \"support\": 35101\n }\n}"
14
  }
data/train-[Qwen@Qwen1.5-7B-Chat][Setting2][icl][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "Qwen@Qwen1.5-7B-Chat",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.47674418604651164,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.5463917525773195,\n \"recall\": 0.0035748010252259544,\n \"f1\": 0.007103129397574213,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.45454545454545453,\n \"recall\": 0.0018731268731268732,\n \"f1\": 0.00373087924387514,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.5294117647058824,\n \"recall\": 0.0010282188963783845,\n \"f1\": 0.0020524515393386543,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.38461538461538464,\n \"recall\": 0.0013593605567940841,\n \"f1\": 0.00270914607715648,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.47674418604651164,\n \"recall\": 0.0019446717180700319,\n \"f1\": 0.003873542992784345,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.27356633663486296,\n \"recall\": 0.0011193581930750425,\n \"f1\": 0.002229593502883892,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[Qwen@Qwen1.5-7B-Chat][Setting3][icl][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
7
  "MICRO precision": 0.8739930955120828,
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  "MICRO recall": 0.02508670520231214,
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  "MICRO f1": 0.04877343950680709,
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- "MACRO precision": 0.871602797507678,
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  "MACRO recall": 0.018960909731062077,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.7368421052631579,\n \"recall\": 0.019704433497536946,\n \"f1\": 0.03838245373543523,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8594377510040161,\n \"recall\": 0.015581767875345856,\n \"f1\": 0.030608596152470857,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8971014492753623,\n \"recall\": 0.044806369887803114,\n \"f1\": 0.08534987935194761,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 1.0,\n \"recall\": 0.00115547567081782,\n \"f1\": 0.002308284175429597,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8885400313971743,\n \"recall\": 0.029514522605204152,\n \"f1\": 0.057131321287978196,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7192982456140351,\n \"recall\": 0.0200734394124847,\n \"f1\": 0.039056918313884255,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 1.0,\n \"recall\": 0.001890359168241966,\n \"f1\": 0.0037735849056603774,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8739930955120828,\n \"recall\": 0.02508670520231214,\n \"f1\": 0.04877343950680709,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.871602797507678,\n \"recall\": 0.018960909731062077,\n \"f1\": 0.03711442950246772,\n \"support\": 60550\n }\n}"
14
  }
 
7
  "MICRO precision": 0.8739930955120828,
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  "MICRO recall": 0.02508670520231214,
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  "MICRO f1": 0.04877343950680709,
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+ "MACRO precision": 0.8716027975076779,
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  "MACRO recall": 0.018960909731062077,
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  "MACRO f1": 0.03711442950246772,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 1.0,\n \"recall\": 0.00115547567081782,\n \"f1\": 0.002308284175429597,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 1.0,\n \"recall\": 0.001890359168241966,\n \"f1\": 0.0037735849056603774,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.8885400313971743,\n \"recall\": 0.029514522605204152,\n \"f1\": 0.057131321287978196,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.7368421052631579,\n \"recall\": 0.019704433497536946,\n \"f1\": 0.03838245373543523,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.7192982456140351,\n \"recall\": 0.0200734394124847,\n \"f1\": 0.039056918313884255,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.8971014492753623,\n \"recall\": 0.044806369887803114,\n \"f1\": 0.08534987935194761,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.8594377510040161,\n \"recall\": 0.015581767875345856,\n \"f1\": 0.030608596152470857,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8739930955120828,\n \"recall\": 0.02508670520231214,\n \"f1\": 0.04877343950680709,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8716027975076779,\n \"recall\": 0.018960909731062077,\n \"f1\": 0.03711442950246772,\n \"support\": 60550\n }\n}"
14
  }
data/train-[meta-llama@Llama-2-7b-hf][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.3351454850292444,
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  "MACRO recall": 0.17224937205808236,
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  "MACRO f1": 0.22754901252163548,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.4105092728878422,\n \"recall\": 0.32885272963093976,\n \"f1\": 0.36517184942716857,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.6646706586826348,\n \"recall\": 0.2702373706634206,\n \"f1\": 0.38424924275205535,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.4086677367576244,\n \"recall\": 0.14221874650876998,\n \"f1\": 0.21100613293552128,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.628837393543276,\n \"recall\": 0.414436757603446,\n \"f1\": 0.49960660896931547,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.23333333333333334,\n \"recall\": 0.05,\n \"f1\": 0.0823529411764706,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5191239652101016,\n \"recall\": 0.2822711603658015,\n \"f1\": 0.36569656928783656,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.3351454850292444,\n \"recall\": 0.17224937205808236,\n \"f1\": 0.22754901252163548,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.3351454850292444,
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  "MACRO recall": 0.17224937205808236,
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  "MACRO f1": 0.22754901252163548,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.4086677367576244,\n \"recall\": 0.14221874650876998,\n \"f1\": 0.21100613293552128,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.628837393543276,\n \"recall\": 0.414436757603446,\n \"f1\": 0.49960660896931547,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.23333333333333334,\n \"recall\": 0.05,\n \"f1\": 0.0823529411764706,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.6646706586826348,\n \"recall\": 0.2702373706634206,\n \"f1\": 0.38424924275205535,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.4105092728878422,\n \"recall\": 0.32885272963093976,\n \"f1\": 0.36517184942716857,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5191239652101016,\n \"recall\": 0.2822711603658015,\n \"f1\": 0.36569656928783656,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.3351454850292444,\n \"recall\": 0.17224937205808236,\n \"f1\": 0.22754901252163548,\n \"support\": 35101\n }\n}"
14
  }
data/train-[meta-llama@Llama-2-7b-hf][Setting2][icl][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "model name": "meta-llama@Llama-2-7b-hf",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "MICRO precision": 0.22965089919903278,
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+ "MACRO recall": 0.16835720492819006,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.5350502512562814,\n \"recall\": 0.6285419126328218,\n \"f1\": 0.5780401737242128,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.1206896551724138,\n \"recall\": 0.006329113924050633,\n \"f1\": 0.012027491408934709,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.432104526364909,\n \"recall\": 0.18737353298259815,\n \"f1\": 0.26139731827805224,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.683265306122449,\n \"recall\": 0.10452047952047952,\n \"f1\": 0.1813061843387848,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.08711149130310807,\n \"recall\": 0.10470695761453216,\n \"f1\": 0.09510221023139982,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.11742736787249751,\n \"recall\": 0.14702843782284813,\n \"f1\": 0.13057124921531701,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.22965089919903278,\n \"recall\": 0.18019043553531833,\n \"f1\": 0.20193617402975356,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2822355140130941,\n \"recall\": 0.16835720492819006,\n \"f1\": 0.2109061255244442,\n \"support\": 84333\n }\n}"
14
+ }
data/train-[meta-llama@Llama-2-7b-hf][Setting3][icl][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
7
  "MICRO precision": 0.8520693641618498,
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  "MICRO recall": 0.6086209744013212,
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  "MICRO f1": 0.7100578034682082,
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- "MACRO precision": 0.7996932592599792,
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  "MACRO recall": 0.5668263157750325,
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- "MACRO f1": 0.6634185008068372,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.5560747663551402,\n \"recall\": 0.2512315270935961,\n \"f1\": 0.3460979156568105,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8199010765202212,\n \"recall\": 0.6155526430755789,\n \"f1\": 0.7031815346225826,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8683197463768116,\n \"recall\": 0.5551212450235251,\n \"f1\": 0.6772640967898618,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.896279905960448,\n \"recall\": 0.8320708691744768,\n \"f1\": 0.8629826897470039,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8691779270778289,\n \"recall\": 0.6004067372373155,\n \"f1\": 0.7102146558105107,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7964327258627375,\n \"recall\": 0.5028151774785802,\n \"f1\": 0.6164465786314526,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.7916666666666666,\n \"recall\": 0.610586011342155,\n \"f1\": 0.6894343649946638,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8520693641618498,\n \"recall\": 0.6086209744013212,\n \"f1\": 0.7100578034682082,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.7996932592599792,\n \"recall\": 0.5668263157750325,\n \"f1\": 0.6634185008068372,\n \"support\": 60550\n }\n}"
14
  }
 
7
  "MICRO precision": 0.8520693641618498,
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  "MICRO recall": 0.6086209744013212,
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  "MICRO f1": 0.7100578034682082,
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  "MACRO recall": 0.5668263157750325,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.896279905960448,\n \"recall\": 0.8320708691744768,\n \"f1\": 0.8629826897470039,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 0.7916666666666666,\n \"recall\": 0.610586011342155,\n \"f1\": 0.6894343649946638,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.8691779270778289,\n \"recall\": 0.6004067372373155,\n \"f1\": 0.7102146558105107,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.5560747663551402,\n \"recall\": 0.2512315270935961,\n \"f1\": 0.3460979156568105,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.7964327258627375,\n \"recall\": 0.5028151774785802,\n \"f1\": 0.6164465786314526,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.8683197463768116,\n \"recall\": 0.5551212450235251,\n \"f1\": 0.6772640967898618,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.8199010765202212,\n \"recall\": 0.6155526430755789,\n \"f1\": 0.7031815346225826,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8520693641618498,\n \"recall\": 0.6086209744013212,\n \"f1\": 0.7100578034682082,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.7996932592599791,\n \"recall\": 0.5668263157750325,\n \"f1\": 0.6634185008068373,\n \"support\": 60550\n }\n}"
14
  }
data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.36827485281420447,
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  "MACRO recall": 0.16288064098654362,
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  "MACRO f1": 0.22586547549898708,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.6020331325301205,\n \"recall\": 0.3770781747435444,\n \"f1\": 0.46371347785108386,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.5767504488330341,\n \"recall\": 0.26070196794481637,\n \"f1\": 0.3590890037725304,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.4260834345889024,\n \"recall\": 0.11752876773544856,\n \"f1\": 0.1842381786339755,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.40783956244302644,\n \"recall\": 0.29199843362485317,\n \"f1\": 0.34033165982047775,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.5652173913043478,\n \"recall\": 0.09285714285714286,\n \"f1\": 0.15950920245398773,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5070721753228602,\n \"recall\": 0.2583971966610638,\n \"f1\": 0.34234166226315393,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.36827485281420447,\n \"recall\": 0.16288064098654362,\n \"f1\": 0.22586547549898708,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.36827485281420447,
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  "MACRO recall": 0.16288064098654362,
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  "MACRO f1": 0.22586547549898708,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.4260834345889024,\n \"recall\": 0.11752876773544856,\n \"f1\": 0.1842381786339755,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.40783956244302644,\n \"recall\": 0.29199843362485317,\n \"f1\": 0.34033165982047775,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.5652173913043478,\n \"recall\": 0.09285714285714286,\n \"f1\": 0.15950920245398773,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.5767504488330341,\n \"recall\": 0.26070196794481637,\n \"f1\": 0.3590890037725304,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.6020331325301205,\n \"recall\": 0.3770781747435444,\n \"f1\": 0.46371347785108386,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5070721753228602,\n \"recall\": 0.2583971966610638,\n \"f1\": 0.34234166226315393,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.36827485281420447,\n \"recall\": 0.16288064098654362,\n \"f1\": 0.22586547549898708,\n \"support\": 35101\n }\n}"
14
  }
data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting2][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.2817097479977041,
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  "MACRO recall": 0.16459963613976414,
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  "MACRO f1": 0.20779003832536255,
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- "detail result": "{\n \"AGE\": {\n \"precision\": 0.6350958744915747,\n \"recall\": 0.1364885114885115,\n \"f1\": 0.2246890739027649,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.11882324802678786,\n \"recall\": 0.14189420770021707,\n \"f1\": 0.12933795006638724,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.362962962962963,\n \"recall\": 0.27479338842975204,\n \"f1\": 0.312783470519066,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.43561872909698995,\n \"recall\": 0.22841629569674896,\n \"f1\": 0.29969026548672567,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.1320754716981132,\n \"recall\": 0.012658227848101266,\n \"f1\": 0.023102310231023097,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.2873919497075002,\n \"recall\": 0.3579468218150182,\n \"f1\": 0.31881250454028137,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.2836012182986038,\n \"recall\": 0.2230325021047514,\n \"f1\": 0.2496963260429458,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2817097479977041,\n \"recall\": 0.16459963613976414,\n \"f1\": 0.20779003832536255,\n \"support\": 84333\n }\n}"
14
  }
 
10
  "MACRO precision": 0.2817097479977041,
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  "MACRO recall": 0.16459963613976414,
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  "MACRO f1": 0.20779003832536255,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.362962962962963,\n \"recall\": 0.27479338842975204,\n \"f1\": 0.312783470519066,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.1320754716981132,\n \"recall\": 0.012658227848101266,\n \"f1\": 0.023102310231023097,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.43561872909698995,\n \"recall\": 0.22841629569674896,\n \"f1\": 0.29969026548672567,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.6350958744915747,\n \"recall\": 0.1364885114885115,\n \"f1\": 0.2246890739027649,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.11882324802678786,\n \"recall\": 0.14189420770021707,\n \"f1\": 0.12933795006638724,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.2873919497075002,\n \"recall\": 0.3579468218150182,\n \"f1\": 0.31881250454028137,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.2836012182986038,\n \"recall\": 0.2230325021047514,\n \"f1\": 0.2496963260429458,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2817097479977041,\n \"recall\": 0.16459963613976414,\n \"f1\": 0.20779003832536255,\n \"support\": 84333\n }\n}"
14
  }
data/train-[meta-llama@Meta-Llama-3-8B-Instruct][Setting3][icl][answer.txt].json CHANGED
@@ -8,7 +8,7 @@
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  "MICRO recall": 0.6116928158546656,
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  "MICRO f1": 0.7070614512341792,
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  "MACRO precision": 0.8158027118348695,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.7017310252996005,\n \"recall\": 0.37086558761435606,\n \"f1\": 0.48526703499079193,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8464136697794556,\n \"recall\": 0.6203582350371342,\n \"f1\": 0.715966386554622,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8607975921745673,\n \"recall\": 0.5796597900832429,\n \"f1\": 0.6927934942469072,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.9124541540424175,\n \"recall\": 0.7346257542688407,\n \"f1\": 0.8139402560455191,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8020868622535402,\n \"recall\": 0.617301976325807,\n \"f1\": 0.6976661951909477,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7890359168241966,\n \"recall\": 0.5108935128518972,\n \"f1\": 0.6202080237741455,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.7980997624703088,\n \"recall\": 0.6351606805293005,\n \"f1\": 0.7073684210526315,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8376605753573367,\n \"recall\": 0.6116928158546656,\n \"f1\": 0.7070614512341792,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8158027118348695,\n \"recall\": 0.5812665052443683,\n \"f1\": 0.6788479561070134,\n \"support\": 60550\n }\n}"
14
  }
 
8
  "MICRO recall": 0.6116928158546656,
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  "MICRO f1": 0.7070614512341792,
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  "MACRO precision": 0.8158027118348695,
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14
  }
data/train-[meta-llama@Meta-Llama-3-8B][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.29219566326685387,
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  "MACRO recall": 0.050096351038565155,
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  "MACRO f1": 0.08552893966086868,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.3112884834663626,\n \"recall\": 0.032189600282985495,\n \"f1\": 0.05834580038469758,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.5538376587520707,\n \"recall\": 0.10174477581659566,\n \"f1\": 0.1719084754477676,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.22379032258064516,\n \"recall\": 0.012400849067143336,\n \"f1\": 0.023499523658304225,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.7064531780688986,\n \"recall\": 0.1900535178175173,\n \"f1\": 0.29952684632791604,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.25,\n \"recall\": 0.014285714285714285,\n \"f1\": 0.027027027027027025,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5408745247148289,\n \"recall\": 0.08105182188541638,\n \"f1\": 0.1409776764698595,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.29219566326685387,\n \"recall\": 0.050096351038565155,\n \"f1\": 0.08552893966086868,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.29219566326685387,
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  "MACRO recall": 0.050096351038565155,
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  "MACRO f1": 0.08552893966086868,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.22379032258064516,\n \"recall\": 0.012400849067143336,\n \"f1\": 0.023499523658304225,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.7064531780688986,\n \"recall\": 0.1900535178175173,\n \"f1\": 0.29952684632791604,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.25,\n \"recall\": 0.014285714285714285,\n \"f1\": 0.027027027027027025,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.5538376587520707,\n \"recall\": 0.10174477581659566,\n \"f1\": 0.1719084754477676,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.3112884834663626,\n \"recall\": 0.032189600282985495,\n \"f1\": 0.05834580038469758,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.5408745247148289,\n \"recall\": 0.08105182188541638,\n \"f1\": 0.1409776764698595,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.29219566326685387,\n \"recall\": 0.050096351038565155,\n \"f1\": 0.08552893966086868,\n \"support\": 35101\n }\n}"
14
  }
data/train-[meta-llama@Meta-Llama-3-8B][Setting2][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.2963620643507017,
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  "MACRO recall": 0.05153405124455167,
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  "MACRO f1": 0.08780056532139423,
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- "detail result": "{\n \"AGE\": {\n \"precision\": 0.5902140672782875,\n \"recall\": 0.0241008991008991,\n \"f1\": 0.046310737852429514,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.20618405627198125,\n \"recall\": 0.08037244373357706,\n \"f1\": 0.11565967940813811,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.38205499276411,\n \"recall\": 0.07792207792207792,\n \"f1\": 0.12944349105172837,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.4890259386903682,\n \"recall\": 0.09092135437744503,\n \"f1\": 0.15333428124555668,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.1935483870967742,\n \"recall\": 0.0054249547920434,\n \"f1\": 0.010554089709762533,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.2135070083533909,\n \"recall\": 0.08199662878581915,\n \"f1\": 0.118488253319714,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.29978242361176805,\n \"recall\": 0.07515444725077965,\n \"f1\": 0.12018013747333492,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2963620643507017,\n \"recall\": 0.05153405124455167,\n \"f1\": 0.08780056532139423,\n \"support\": 84333\n }\n}"
14
  }
 
10
  "MACRO precision": 0.2963620643507017,
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  "MACRO recall": 0.05153405124455167,
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  "MACRO f1": 0.08780056532139423,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.38205499276411,\n \"recall\": 0.07792207792207792,\n \"f1\": 0.12944349105172837,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.1935483870967742,\n \"recall\": 0.0054249547920434,\n \"f1\": 0.010554089709762533,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.4890259386903682,\n \"recall\": 0.09092135437744503,\n \"f1\": 0.15333428124555668,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.5902140672782875,\n \"recall\": 0.0241008991008991,\n \"f1\": 0.046310737852429514,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.20618405627198125,\n \"recall\": 0.08037244373357706,\n \"f1\": 0.11565967940813811,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.2135070083533909,\n \"recall\": 0.08199662878581915,\n \"f1\": 0.118488253319714,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.29978242361176805,\n \"recall\": 0.07515444725077965,\n \"f1\": 0.12018013747333492,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.2963620643507017,\n \"recall\": 0.05153405124455167,\n \"f1\": 0.08780056532139423,\n \"support\": 84333\n }\n}"
14
  }
data/train-[meta-llama@Meta-Llama-3-8B][Setting3][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
10
  "MACRO precision": 0.6837005104632965,
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  "MACRO recall": 0.0738472584130627,
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  "MACRO f1": 0.13329696250895143,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.5702127659574469,\n \"recall\": 0.09429978888106967,\n \"f1\": 0.16183574879227053,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.6215767634854772,\n \"recall\": 0.0545361875637105,\n \"f1\": 0.10027444942767254,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.7169500822819528,\n \"recall\": 0.09460731089395584,\n \"f1\": 0.16715692543803554,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.6742857142857143,\n \"recall\": 0.015149569906278084,\n \"f1\": 0.029633350075339022,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.6527711984841308,\n \"recall\": 0.07185691192574438,\n \"f1\": 0.12946260804208942,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7622282608695652,\n \"recall\": 0.13733170134638922,\n \"f1\": 0.2327317983820784,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.7878787878787878,\n \"recall\": 0.04914933837429111,\n \"f1\": 0.09252669039145905,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.6763216207660652,\n \"recall\": 0.07056977704376548,\n \"f1\": 0.12780403182389186,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.6837005104632965,\n \"recall\": 0.0738472584130627,\n \"f1\": 0.13329696250895143,\n \"support\": 60550\n }\n}"
14
  }
 
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  "MACRO precision": 0.6837005104632965,
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  "MACRO recall": 0.0738472584130627,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.6742857142857143,\n \"recall\": 0.015149569906278084,\n \"f1\": 0.029633350075339022,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 0.7878787878787878,\n \"recall\": 0.04914933837429111,\n \"f1\": 0.09252669039145905,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.6527711984841308,\n \"recall\": 0.07185691192574438,\n \"f1\": 0.12946260804208942,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.5702127659574469,\n \"recall\": 0.09429978888106967,\n \"f1\": 0.16183574879227053,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.7622282608695652,\n \"recall\": 0.13733170134638922,\n \"f1\": 0.2327317983820784,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.7169500822819528,\n \"recall\": 0.09460731089395584,\n \"f1\": 0.16715692543803554,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.6215767634854772,\n \"recall\": 0.0545361875637105,\n \"f1\": 0.10027444942767254,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.6763216207660652,\n \"recall\": 0.07056977704376548,\n \"f1\": 0.12780403182389186,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.6837005104632965,\n \"recall\": 0.0738472584130627,\n \"f1\": 0.13329696250895143,\n \"support\": 60550\n }\n}"
14
  }
data/train-[microsoft@Phi-3-mini-4k-instruct][Setting1][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  "MACRO precision": 0.43517228860568896,
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  "MACRO recall": 0.184519030832964,
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  "MACRO f1": 0.2591534411410576,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"NAME\": {\n \"precision\": 0.543661971830986,\n \"recall\": 0.22756750383209526,\n \"f1\": 0.3208378355913889,\n \"support\": 8481\n },\n \"LOCATION\": {\n \"precision\": 0.6183310533515732,\n \"recall\": 0.2751065124771759,\n \"f1\": 0.38079191238416177,\n \"support\": 9858\n },\n \"ID\": {\n \"precision\": 0.4675850891410049,\n \"recall\": 0.12892414255390458,\n \"f1\": 0.20211927489272266,\n \"support\": 8951\n },\n \"DATE\": {\n \"precision\": 0.7869982762866289,\n \"recall\": 0.4171779141104294,\n \"f1\": 0.5452994369561508,\n \"support\": 7661\n },\n \"AGE\": {\n \"precision\": 0.6296296296296297,\n \"recall\": 0.24285714285714285,\n \"f1\": 0.35051546391752575,\n \"support\": 140\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.6183462355278482,\n \"recall\": 0.2571436711204809,\n \"f1\": 0.3632339329550485,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.43517228860568896,\n \"recall\": 0.184519030832964,\n \"f1\": 0.2591534411410576,\n \"support\": 35101\n }\n}"
14
  }
 
10
  "MACRO precision": 0.43517228860568896,
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  "MACRO recall": 0.184519030832964,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.4675850891410049,\n \"recall\": 0.12892414255390458,\n \"f1\": 0.20211927489272266,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.7869982762866289,\n \"recall\": 0.4171779141104294,\n \"f1\": 0.5452994369561508,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.6296296296296297,\n \"recall\": 0.24285714285714285,\n \"f1\": 0.35051546391752575,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.6183310533515732,\n \"recall\": 0.2751065124771759,\n \"f1\": 0.38079191238416177,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.543661971830986,\n \"recall\": 0.22756750383209526,\n \"f1\": 0.3208378355913889,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.6183462355278482,\n \"recall\": 0.2571436711204809,\n \"f1\": 0.3632339329550485,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.43517228860568896,\n \"recall\": 0.184519030832964,\n \"f1\": 0.2591534411410576,\n \"support\": 35101\n }\n}"
14
  }
data/train-[microsoft@Phi-3-mini-4k-instruct][Setting2][icl][answer.txt].json CHANGED
@@ -8,7 +8,7 @@
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  "MICRO recall": 0.2072024000094862,
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  "MICRO f1": 0.2937695437275142,
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  "MACRO precision": 0.4009231666452163,
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- "MACRO recall": 0.18964062669948825,
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- "MACRO f1": 0.2574872399485678,
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- "detail result": "{\n \"AGE\": {\n \"precision\": 0.6138115990613476,\n \"recall\": 0.22864635364635363,\n \"f1\": 0.33318169411336546,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.3353516534699581,\n \"recall\": 0.12338626756540615,\n \"f1\": 0.18039837975529294,\n \"support\": 17506\n },\n \"ID\": {\n \"precision\": 0.6379661016949153,\n \"recall\": 0.5554899645808736,\n \"f1\": 0.5938781950142,\n \"support\": 6776\n },\n \"DATE\": {\n \"precision\": 0.5213417190775681,\n \"recall\": 0.2096654525832996,\n \"f1\": 0.2990595762079996,\n \"support\": 29652\n },\n \"CONTACT\": {\n \"precision\": 0.11538461538461539,\n \"recall\": 0.0081374321880651,\n \"f1\": 0.015202702702702702,\n \"support\": 1106\n },\n \"PROFESSION\": {\n \"precision\": 0.06051873198847262,\n \"recall\": 0.014512785072563926,\n \"f1\": 0.023411371237458196,\n \"support\": 2894\n },\n \"NAME\": {\n \"precision\": 0.5220877458396369,\n \"recall\": 0.18764613125985535,\n \"f1\": 0.2760689572417103,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.504576824232624,\n \"recall\": 0.2072024000094862,\n \"f1\": 0.2937695437275142,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4009231666452163,\n \"recall\": 0.18964062669948825,\n \"f1\": 0.2574872399485678,\n \"support\": 84333\n }\n}"
14
  }
 
8
  "MICRO recall": 0.2072024000094862,
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  "MICRO f1": 0.2937695437275142,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.6379661016949153,\n \"recall\": 0.5554899645808736,\n \"f1\": 0.5938781950142,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.11538461538461539,\n \"recall\": 0.0081374321880651,\n \"f1\": 0.015202702702702702,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.5213417190775681,\n \"recall\": 0.2096654525832996,\n \"f1\": 0.2990595762079996,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.06051873198847262,\n \"recall\": 0.014512785072563926,\n \"f1\": 0.023411371237458196,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.6138115990613476,\n \"recall\": 0.22864635364635363,\n \"f1\": 0.33318169411336546,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.3353516534699581,\n \"recall\": 0.12338626756540615,\n \"f1\": 0.18039837975529294,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.5220877458396369,\n \"recall\": 0.18764613125985535,\n \"f1\": 0.2760689572417103,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.504576824232624,\n \"recall\": 0.2072024000094862,\n \"f1\": 0.2937695437275142,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4009231666452163,\n \"recall\": 0.18964062669948817,\n \"f1\": 0.25748723994856776,\n \"support\": 84333\n }\n}"
14
  }
data/train-[microsoft@Phi-3-mini-4k-instruct][Setting3][icl][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  "MACRO precision": 0.8373632636330671,
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  "MACRO recall": 0.5542431430542506,
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  "MACRO f1": 0.6670030331621435,
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.705511811023622,\n \"recall\": 0.31527093596059114,\n \"f1\": 0.43579766536964976,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.8643748034797191,\n \"recall\": 0.6004805591961555,\n \"f1\": 0.708657357679914,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.8865888847070631,\n \"recall\": 0.5115454216431415,\n \"f1\": 0.6487652620949235,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.8974398519432449,\n \"recall\": 0.7470792142765439,\n \"f1\": 0.8153856932670077,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.8668916935720575,\n \"recall\": 0.6160504771340668,\n \"f1\": 0.7202560585276635,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.7685767097966728,\n \"recall\": 0.5089351285189718,\n \"f1\": 0.6123711340206186,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.8721590909090909,\n \"recall\": 0.5803402646502835,\n \"f1\": 0.6969353007945518,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.8660325297705489,\n \"recall\": 0.5909331131296449,\n \"f1\": 0.7025111420886262,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.8373632636330671,\n \"recall\": 0.5542431430542506,\n \"f1\": 0.6670030331621435,\n \"support\": 60550\n }\n}"
14
  }
 
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  "MACRO precision": 0.8373632636330671,
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  "MACRO recall": 0.5542431430542506,
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  }
data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting1][icl][answer.txt].json CHANGED
@@ -8,7 +8,7 @@
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  "MICRO recall": 0.3402467166177602,
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  "MACRO precision": 0.4147264136491076,
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  }
 
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  }
data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting2][icl][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "mistralai@Mistral-7B-Instruct-v0.3",
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+ "dataset": "Setting2",
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+ "method": "icl",
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+ }
data/train-[mistralai@Mistral-7B-Instruct-v0.3][Setting3][icl][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
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  "MICRO precision": 0.8402185838467381,
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  "MICRO f1": 0.7378318789024142,
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  }
 
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  }
data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting1",
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+ "dataset": "Setting1",
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+ }
data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ }
data/train-[zhaorui-nb@Llama-2-7b-hf._.lora_ft._.Setting3][Setting3][ft][answer.txt].json CHANGED
@@ -10,5 +10,5 @@
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  }
 
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  }
data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting1",
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+ "dataset": "Setting1",
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+ "method": "ft",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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14
+ }
data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ "method": "ft",
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data/train-[zhaorui-nb@Meta-Llama-3-8B-Instruct._.lora_ft._.Setting3][Setting3][ft][answer.txt].json ADDED
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data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting1][Setting1][ft][answer.txt].json CHANGED
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data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
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data/train-[zhaorui-nb@Meta-Llama-3-8B._.lora_ft._.Setting3][Setting3][ft][answer.txt].json ADDED
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data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
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data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
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data/train-[zhaorui-nb@Mistral-7B-Instruct-v0.3._.lora_ft._.Setting3][Setting3][ft][answer.txt].json CHANGED
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  }
data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
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+ }
data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "model name": "zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ }
data/train-[zhaorui-nb@Phi-3-mini-4k-instruct._.lora_ft._.Setting3][Setting3][ft][answer.txt].json CHANGED
@@ -8,7 +8,7 @@
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  }
 
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  }
data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "model name": "zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting1",
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+ "dataset": "Setting1",
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+ "method": "ft",
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+ }
data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ }
data/train-[zhaorui-nb@Qwen1.5-7B-Chat._.lora_ft._.Setting3][Setting3][ft][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
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  }
 
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  }
data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ {
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+ "model name": "zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting1",
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+ "dataset": "Setting1",
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14
+ }
data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ "method": "ft",
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+ "file name": "answer.txt",
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+ }
data/train-[zhaorui-nb@Yi-1.5-6B-Chat._.lora_ft._.Setting3][Setting3][ft][answer.txt].json CHANGED
@@ -7,8 +7,8 @@
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- "detail result": "{\n \"PROFESSION\": {\n \"precision\": 0.8453970484891076,\n \"recall\": 0.8465869106263195,\n \"f1\": 0.8459915611814347,\n \"support\": 1421\n },\n \"NAME\": {\n \"precision\": 0.9679597808959256,\n \"recall\": 0.9392747924858017,\n \"f1\": 0.953401574221204,\n \"support\": 13734\n },\n \"LOCATION\": {\n \"precision\": 0.9262214861100655,\n \"recall\": 0.8905537459283388,\n \"f1\": 0.9080374935419588,\n \"support\": 13815\n },\n \"ID\": {\n \"precision\": 0.9366515837104072,\n \"recall\": 0.956733855437155,\n \"f1\": 0.9465862178469355,\n \"support\": 7789\n },\n \"DATE\": {\n \"precision\": 0.9129951281508155,\n \"recall\": 0.8990457318662982,\n \"f1\": 0.905966737605423,\n \"support\": 19177\n },\n \"AGE\": {\n \"precision\": 0.9451589420043679,\n \"recall\": 0.9534883720930233,\n \"f1\": 0.9493053863027053,\n \"support\": 4085\n },\n \"CONTACT\": {\n \"precision\": 0.9475890985324947,\n \"recall\": 0.8544423440453687,\n \"f1\": 0.8986083499005963,\n \"support\": 529\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.9323199542634225,\n \"recall\": 0.9157060280759702,\n \"f1\": 0.9239383107956108,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.9259961525561692,\n \"recall\": 0.905732250354615,\n \"f1\": 0.9157521144964899,\n \"support\": 60550\n }\n}"
14
  }
 
7
  "MICRO precision": 0.9323199542634225,
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  "MICRO recall": 0.9157060280759702,
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  "MICRO f1": 0.9239383107956108,
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  "MACRO recall": 0.905732250354615,
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  "MACRO f1": 0.9157521144964899,
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.9366515837104072,\n \"recall\": 0.956733855437155,\n \"f1\": 0.9465862178469355,\n \"support\": 7789\n },\n \"CONTACT\": {\n \"precision\": 0.9475890985324947,\n \"recall\": 0.8544423440453687,\n \"f1\": 0.8986083499005963,\n \"support\": 529\n },\n \"DATE\": {\n \"precision\": 0.9129951281508155,\n \"recall\": 0.8990457318662982,\n \"f1\": 0.905966737605423,\n \"support\": 19177\n },\n \"PROFESSION\": {\n \"precision\": 0.8453970484891076,\n \"recall\": 0.8465869106263195,\n \"f1\": 0.8459915611814347,\n \"support\": 1421\n },\n \"AGE\": {\n \"precision\": 0.9451589420043679,\n \"recall\": 0.9534883720930233,\n \"f1\": 0.9493053863027053,\n \"support\": 4085\n },\n \"LOCATION\": {\n \"precision\": 0.9262214861100655,\n \"recall\": 0.8905537459283388,\n \"f1\": 0.9080374935419588,\n \"support\": 13815\n },\n \"NAME\": {\n \"precision\": 0.9679597808959256,\n \"recall\": 0.9392747924858017,\n \"f1\": 0.953401574221204,\n \"support\": 13734\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.9323199542634225,\n \"recall\": 0.9157060280759702,\n \"f1\": 0.9239383107956108,\n \"support\": 60550\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.9259961525561691,\n \"recall\": 0.905732250354615,\n \"f1\": 0.9157521144964899,\n \"support\": 60550\n }\n}"
14
  }
data/train-[zhaorui-nb@pythia-1b._.lora_ft._.Setting1][Setting1][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@pythia-1b._.lora_ft._.Setting1",
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+ "dataset": "Setting1",
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+ "method": "ft",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.5646608797999118,\n \"recall\": 0.42877890738464974,\n \"f1\": 0.4874269748539497,\n \"support\": 8951\n },\n \"CONTACT\": {\n \"precision\": 0.017857142857142856,\n \"recall\": 0.1,\n \"f1\": 0.030303030303030304,\n \"support\": 10\n },\n \"DATE\": {\n \"precision\": 0.8248572911261027,\n \"recall\": 0.8299177653047904,\n \"f1\": 0.8273797904873447,\n \"support\": 7661\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 0\n },\n \"AGE\": {\n \"precision\": 0.4740740740740741,\n \"recall\": 0.9142857142857143,\n \"f1\": 0.624390243902439,\n \"support\": 140\n },\n \"LOCATION\": {\n \"precision\": 0.4418767507002801,\n \"recall\": 0.25603570703996753,\n \"f1\": 0.3242132305716121,\n \"support\": 9858\n },\n \"NAME\": {\n \"precision\": 0.7958205912334353,\n \"recall\": 0.9205282395943875,\n \"f1\": 0.8536438685692417,\n \"support\": 8481\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.680503393292482,\n \"recall\": 0.5884732628700037,\n \"f1\": 0.6311511725613017,\n \"support\": 35101\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.4455923899701352,\n \"recall\": 0.4927923333727871,\n \"f1\": 0.46800530342030106,\n \"support\": 35101\n }\n}"
14
+ }
data/train-[zhaorui-nb@pythia-1b._.lora_ft._.Setting2][Setting2][ft][answer.txt].json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ "model name": "zhaorui-nb@pythia-1b._.lora_ft._.Setting2",
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+ "dataset": "Setting2",
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+ "method": "ft",
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+ "file name": "answer.txt",
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+ "submitter": "zhaorui",
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+ "detail result": "{\n \"ID\": {\n \"precision\": 0.2760147141342976,\n \"recall\": 0.6533353010625738,\n \"f1\": 0.3880780188472496,\n \"support\": 6776\n },\n \"CONTACT\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 1106\n },\n \"DATE\": {\n \"precision\": 0.6032955897255143,\n \"recall\": 0.4617900984756509,\n \"f1\": 0.5231427534432368,\n \"support\": 29652\n },\n \"PROFESSION\": {\n \"precision\": 0.0,\n \"recall\": 0.0,\n \"f1\": 0.0,\n \"support\": 2894\n },\n \"AGE\": {\n \"precision\": 0.7150668286755771,\n \"recall\": 0.14697802197802198,\n \"f1\": 0.2438367516055521,\n \"support\": 8008\n },\n \"LOCATION\": {\n \"precision\": 0.49008425145819834,\n \"recall\": 0.2159830915114818,\n \"f1\": 0.2998295071567345,\n \"support\": 17506\n },\n \"NAME\": {\n \"precision\": 0.5746405481038309,\n \"recall\": 0.32379968462835085,\n \"f1\": 0.4142032412881686,\n \"support\": 18391\n },\n \"MICRO_AVERAGE\": {\n \"precision\": 0.49663017447827573,\n \"recall\": 0.34426618287028804,\n \"f1\": 0.40664458341795473,\n \"support\": 84333\n },\n \"MACRO_AVERAGE\": {\n \"precision\": 0.3798717045853454,\n \"recall\": 0.25741231395086844,\n \"f1\": 0.30687621731476983,\n \"support\": 84333\n }\n}"
14
+ }