model update

README.md

@@ -2,7 +2,7 @@
 datasets:
 - relbert/semeval2012_relational_similarity
 model-index:
-- name: relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification
+- name: relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated
   results:
   - task:
       name: Relation Mapping
@@ -14,7 +14,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9169047619047619
+      value: 0.8544444444444445
   - task:
       name: Analogy Questions (SAT full)
       type: multiple-choice-qa
@@ -153,27 +153,27 @@ model-index:
       value: 0.906471425124189
 
 ---
-# relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification
+# relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated
 
 RelBERT fine-tuned from [roberta-large](https://huggingface.co/roberta-large) on  
 [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity).
 Fine-tuning is done via [RelBERT](https://github.com/asahi417/relbert) library (see the repository for more detail).
 It achieves the following results on the relation understanding tasks:
-- Analogy Question ([dataset](https://huggingface.co/datasets/relbert/analogy_questions), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification/raw/main/analogy.json)):
+- Analogy Question ([dataset](https://huggingface.co/datasets/relbert/analogy_questions), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated/raw/main/analogy.json)):
     - Accuracy on SAT (full): 0.6524064171122995 
     - Accuracy on SAT: 0.6498516320474778
     - Accuracy on BATS: 0.7509727626459144
     - Accuracy on U2: 0.6271929824561403
     - Accuracy on U4: 0.625
     - Accuracy on Google: 0.902
-- Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification/raw/main/classification.json)):
+- Lexical Relation Classification ([dataset](https://huggingface.co/datasets/relbert/lexical_relation_classification), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated/raw/main/classification.json)):
     - Micro F1 score on BLESS: 0.9246647581738737
     - Micro F1 score on CogALexV: 0.8826291079812206
     - Micro F1 score on EVALution: 0.7172264355362946
     - Micro F1 score on K&H+N: 0.9616748974055783
     - Micro F1 score on ROOT09: 0.9094327796928863
-- Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification/raw/main/relation_mapping.json)):
-    - Accuracy on Relation Mapping: 0.9169047619047619 
+- Relation Mapping ([dataset](https://huggingface.co/datasets/relbert/relation_mapping), [full result](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated/raw/main/relation_mapping.json)):
+    - Accuracy on Relation Mapping: 0.8544444444444445 
 
 
 ### Usage
@@ -184,7 +184,7 @@ pip install relbert
 and activate model as below.
 ```python
 from relbert import RelBERT
-model = RelBERT("relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification")
+model = RelBERT("relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated")
 vector = model.get_embedding(['Tokyo', 'Japan'])  # shape of (1024, )
 ```
 
@@ -216,7 +216,7 @@ The following hyperparameters were used during training:
  - n_sample: 640
  - gradient_accumulation: 8
 
-The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification/raw/main/trainer_config.json).
+The full configuration can be found at [fine-tuning parameter file](https://huggingface.co/relbert/roberta-large-semeval2012-mask-prompt-d-nce-classification-conceptnet-validated/raw/main/trainer_config.json).
 
 ### Reference
 If you use any resource from RelBERT, please consider to cite our [paper](https://aclanthology.org/2021.eacl-demos.7/).

relation_mapping.json

@@ -0,0 +1 @@
+{"accuracy": 0.8544444444444445, "prediction": [{"source": ["solar system", "sun", "planet", "mass", "attracts", "revolves", "gravity"], "true": ["atom", "nucleus", "electron", "charge", "attracts", "revolves", "electromagnetism"], "pred": ["atom", "electron", "nucleus", "charge", "attracts", "revolves", "electromagnetism"], "alignment_match": false, "accuracy": 0.7142857142857143, "similarity": 0.9999999005016424, "similarity_true": 0.9999999005016424}, {"source": ["water", "flows", "pressure", "water tower", "bucket", "filling", "emptying", "hydrodynamics"], "true": ["heat", "transfers", "temperature", "burner", "kettle", "heating", "cooling", "thermodynamics"], "pred": ["heat", "transfers", "temperature", "burner", "kettle", "heating", "cooling", "thermodynamics"], "alignment_match": true, "accuracy": 1, "similarity": 0.9753178774071544, "similarity_true": 0.9753178774071544}, {"source": ["waves", "shore", "reflects", "water", "breakwater", "rough", "calm", "crashing"], "true": ["sounds", "wall", "echoes", "air", "insulation", "loud", "quiet", "vibrating"], "pred": ["sounds", "wall", "echoes", "air", "insulation", "loud", "quiet", "vibrating"], "alignment_match": true, "accuracy": 1, "similarity": 0.9508098327726734, "similarity_true": 0.9508098327726734}, {"source": ["combustion", "fire", "fuel", "burning", "hot", "intense", "oxygen", "carbon dioxide"], "true": ["respiration", "animal", "food", "breathing", "living", "vigorous", "oxygen", "carbon dioxide"], "pred": ["respiration", "animal", "food", "breathing", "living", "vigorous", "oxygen", "carbon dioxide"], "alignment_match": true, "accuracy": 1, "similarity": 0.9999999005856917, "similarity_true": 0.9999999005856917}, {"source": ["sound", "low", "high", "echoes", "loud", "quiet", "horn"], "true": ["light", "red", "violet", "reflects", "bright", "dim", "lens"], "pred": ["light", "red", "violet", "reflects", "bright", "dim", "lens"], "alignment_match": true, "accuracy": 1, "similarity": 0.9648643558077736, "similarity_true": 0.9648643558077736}, {"source": ["projectile", "trajectory", "earth", "parabolic", "air", "gravity", "attracts"], "true": ["planet", "orbit", "sun", "elliptical", "space", "gravity", "attracts"], "pred": ["sun", "orbit", "planet", "elliptical", "space", "gravity", "attracts"], "alignment_match": false, "accuracy": 0.7142857142857143, "similarity": 0.999999900373745, "similarity_true": 0.999999900373745}, {"source": ["breeds", "selection", "conformance", "artificial", "popularity", "breeding", "domesticated"], "true": ["species", "competition", "adaptation", "natural", "fitness", "mating", "wild"], "pred": ["species", "mating", "competition", "natural", "fitness", "adaptation", "wild"], "alignment_match": false, "accuracy": 0.5714285714285714, "similarity": 0.9554132229976147, "similarity_true": 0.951844994074955}, {"source": ["ball", "billiards", "speed", "table", "bouncing", "moving", "slow", "fast"], "true": ["molecules", "gas", "temperature", "container", "pressing", "moving", "cold", "hot"], "pred": ["molecules", "gas", "temperature", "container", "pressing", "moving", "cold", "hot"], "alignment_match": true, "accuracy": 1, "similarity": 0.9533767496760501, "similarity_true": 0.9533767496760501}, {"source": ["computer", "processing", "erasing", "write", "read", "memory", "outputs", "inputs", "bug"], "true": ["mind", "thinking", "forgetting", "memorize", "remember", "memory", "muscles", "senses", "mistake"], "pred": ["mind", "remember", "forgetting", "memorize", "thinking", "memory", "senses", "muscles", "mistake"], "alignment_match": false, "accuracy": 0.5555555555555556, "similarity": 0.9464665126056254, "similarity_true": 0.9375279126996098}, {"source": ["slot machines", "reels", "spinning", "winning", "losing"], "true": ["bacteria", "genes", "mutating", "reproducing", "dying"], "pred": ["bacteria", "genes", "mutating", "reproducing", "dying"], "alignment_match": true, "accuracy": 1, "similarity": 0.892365435100139, "similarity_true": 0.892365435100139}, {"source": ["war", "soldier", "destroy", "fighting", "defeat", "attacks", "weapon"], "true": ["argument", "debater", "refute", "arguing", "acceptance", "criticizes", "logic"], "pred": ["argument", "debater", "refute", "arguing", "acceptance", "criticizes", "logic"], "alignment_match": true, "accuracy": 1, "similarity": 0.95600731983497, "similarity_true": 0.95600731983497}, {"source": ["buyer", "merchandise", "buying", "selling", "returning", "valuable", "worthless"], "true": ["believer", "belief", "accepting", "advocating", "rejecting", "true", "false"], "pred": ["believer", "belief", "accepting", "advocating", "rejecting", "true", "false"], "alignment_match": true, "accuracy": 1, "similarity": 0.9544386564955439, "similarity_true": 0.9544386564955439}, {"source": ["foundations", "buildings", "supporting", "solid", "weak", "crack"], "true": ["reasons", "theories", "confirming", "rational", "dubious", "flaw"], "pred": ["reasons", "theories", "confirming", "rational", "dubious", "flaw"], "alignment_match": true, "accuracy": 1, "similarity": 0.9383626102988626, "similarity_true": 0.9383626102988626}, {"source": ["obstructions", "destination", "route", "traveller", "traveling", "companion", "arriving"], "true": ["difficulties", "goal", "plan", "person", "problem solving", "partner", "succeeding"], "pred": ["difficulties", "goal", "plan", "person", "problem solving", "partner", "succeeding"], "alignment_match": true, "accuracy": 1, "similarity": 0.9102059591189068, "similarity_true": 0.9102059591189068}, {"source": ["money", "allocate", "budget", "effective", "cheap", "expansive"], "true": ["time", "invest", "schedule", "efficient", "quick", "slow"], "pred": ["time", "invest", "schedule", "efficient", "slow", "quick"], "alignment_match": false, "accuracy": 0.6666666666666666, "similarity": 0.9665781232409688, "similarity_true": 0.9665781232409688}, {"source": ["seeds", "planted", "fruitful", "fruit", "grow", "wither", "blossom"], "true": ["ideas", "inspired", "productive", "product", "develop", "fail", "succeed"], "pred": ["ideas", "inspired", "productive", "product", "develop", "fail", "succeed"], "alignment_match": true, "accuracy": 1, "similarity": 0.9632606942176214, "similarity_true": 0.9632606942176214}, {"source": ["machine", "working", "turned on", "turned off", "broken", "power", "repair"], "true": ["mind", "thinking", "awake", "asleep", "confused", "intelligence", "therapy"], "pred": ["mind", "thinking", "awake", "asleep", "confused", "intelligence", "therapy"], "alignment_match": true, "accuracy": 1, "similarity": 0.9449579759108836, "similarity_true": 0.9449579759108836}, {"source": ["object", "hold", "weight", "heavy", "light"], "true": ["idea", "understand", "analyze", "important", "trivial"], "pred": ["idea", "analyze", "understand", "trivial", "important"], "alignment_match": false, "accuracy": 0.2, "similarity": 0.9505389994142114, "similarity_true": 0.9277909842857363}, {"source": ["follow", "leader", "path", "follower", "lost", "wanders", "twisted", "straight"], "true": ["understand", "speaker", "argument", "listener", "misunderstood", "digresses", "complicated", "simple"], "pred": ["understand", "speaker", "argument", "listener", "misunderstood", "digresses", "complicated", "simple"], "alignment_match": true, "accuracy": 1, "similarity": 0.9453105927910986, "similarity_true": 0.9453105927910986}, {"source": ["seeing", "light", "illuminating", "darkness", "view", "hidden"], "true": ["understanding", "knowledge", "explaining", "confusion", "interpretation", "secret"], "pred": ["explaining", "knowledge", "understanding", "confusion", "interpretation", "secret"], "alignment_match": false, "accuracy": 0.6666666666666666, "similarity": 0.9063767844555407, "similarity_true": 0.8716051128257517}]}