add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.6320474777448071, "sat/valid": 0.5945945945945946, "u2/test": 0.631578947368421, "u2/valid": 0.5833333333333334, "u4/test": 0.6365740740740741, "u4/valid": 0.5625, "google/test": 0.92, "google/valid": 0.94, "bats/test": 0.7726514730405781, "bats/valid": 0.8140703517587939, "sat_full": 0.6283422459893048}

classification.json

@@ -0,0 +1 @@
+{"lexical_relation_classification/BLESS": {"classifier_config": {"activation": "relu", "alpha": 0.0001, "batch_size": "auto", "beta_1": 0.9, "beta_2": 0.999, "early_stopping": false, "epsilon": 1e-08, "hidden_layer_sizes": [100], "learning_rate": "constant", "learning_rate_init": 0.001, "max_fun": 15000, "max_iter": 200, "momentum": 0.9, "n_iter_no_change": 10, "nesterovs_momentum": true, "power_t": 0.5, "random_state": 0, "shuffle": true, "solver": "adam", "tol": 0.0001, "validation_fraction": 0.1, "verbose": false, "warm_start": false}, "test/accuracy": 0.9218020189844809, "test/f1_macro": 0.9177802775241372, "test/f1_micro": 0.9218020189844809, "test/p_macro": 0.9197996307714394, "test/p_micro": 0.9218020189844809, "test/r_macro": 0.9167992182216058, "test/r_micro": 0.9218020189844809}, "lexical_relation_classification/CogALexV": {"classifier_config": {"activation": "relu", "alpha": 0.0001, "batch_size": "auto", "beta_1": 0.9, "beta_2": 0.999, "early_stopping": false, "epsilon": 1e-08, "hidden_layer_sizes": [100], "learning_rate": "constant", "learning_rate_init": 0.001, "max_fun": 15000, "max_iter": 200, "momentum": 0.9, "n_iter_no_change": 10, "nesterovs_momentum": true, "power_t": 0.5, "random_state": 0, "shuffle": true, "solver": "adam", "tol": 0.0001, "validation_fraction": 0.1, "verbose": false, "warm_start": false}, "test/accuracy": 0.8694835680751174, "test/f1_macro": 0.7143050763634161, "test/f1_micro": 0.8694835680751174, "test/p_macro": 0.7523402741383489, "test/p_micro": 0.8694835680751174, "test/r_macro": 0.6851908755579961, "test/r_micro": 0.8694835680751174}, "lexical_relation_classification/EVALution": {"classifier_config": {"activation": "relu", "alpha": 0.0001, "batch_size": "auto", "beta_1": 0.9, "beta_2": 0.999, "early_stopping": false, "epsilon": 1e-08, "hidden_layer_sizes": [100], "learning_rate": "constant", "learning_rate_init": 0.001, "max_fun": 15000, "max_iter": 200, "momentum": 0.9, "n_iter_no_change": 10, "nesterovs_momentum": true, "power_t": 0.5, "random_state": 0, "shuffle": true, "solver": "adam", "tol": 0.0001, "validation_fraction": 0.1, "verbose": false, "warm_start": false}, "test/accuracy": 0.6852654387865655, "test/f1_macro": 0.6719168721915184, "test/f1_micro": 0.6852654387865655, "test/p_macro": 0.6796344556825754, "test/p_micro": 0.6852654387865655, "test/r_macro": 0.6707615912708155, "test/r_micro": 0.6852654387865655}, "lexical_relation_classification/K&H+N": {"classifier_config": {"activation": "relu", "alpha": 0.0001, "batch_size": "auto", "beta_1": 0.9, "beta_2": 0.999, "early_stopping": false, "epsilon": 1e-08, "hidden_layer_sizes": [100], "learning_rate": "constant", "learning_rate_init": 0.001, "max_fun": 15000, "max_iter": 200, "momentum": 0.9, "n_iter_no_change": 10, "nesterovs_momentum": true, "power_t": 0.5, "random_state": 0, "shuffle": true, "solver": "adam", "tol": 0.0001, "validation_fraction": 0.1, "verbose": false, "warm_start": false}, "test/accuracy": 0.9568755651387633, "test/f1_macro": 0.8813368476884477, "test/f1_micro": 0.9568755651387633, "test/p_macro": 0.896993703640893, "test/p_micro": 0.9568755651387633, "test/r_macro": 0.8689157191651657, "test/r_micro": 0.9568755651387633}, "lexical_relation_classification/ROOT09": {"classifier_config": {"activation": "relu", "alpha": 0.0001, "batch_size": "auto", "beta_1": 0.9, "beta_2": 0.999, "early_stopping": false, "epsilon": 1e-08, "hidden_layer_sizes": [100], "learning_rate": "constant", "learning_rate_init": 0.001, "max_fun": 15000, "max_iter": 200, "momentum": 0.9, "n_iter_no_change": 10, "nesterovs_momentum": true, "power_t": 0.5, "random_state": 0, "shuffle": true, "solver": "adam", "tol": 0.0001, "validation_fraction": 0.1, "verbose": false, "warm_start": false}, "test/accuracy": 0.911939830774052, "test/f1_macro": 0.9100147353897433, "test/f1_micro": 0.911939830774052, "test/p_macro": 0.9074347727745193, "test/p_micro": 0.911939830774052, "test/r_macro": 0.9129215764279087, "test/r_micro": 0.911939830774052}}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-large",
+  "_name_or_path": "relbert-roberta-large-semeval2012-v2-average-no-mask-prompt-c-nce",
   "architectures": [
     "RobertaModel"
   ],