add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.6498516320474778, "sat/valid": 0.5675675675675675, "u2/test": 0.6228070175438597, "u2/valid": 0.5833333333333334, "u4/test": 0.6226851851851852, "u4/valid": 0.5833333333333334, "google/test": 0.92, "google/valid": 0.94, "bats/test": 0.7821011673151751, "bats/valid": 0.8341708542713567, "sat_full": 0.6417112299465241}

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": 0.9213500075335241, "test/f1_macro": 0.9186450756231657, "test/f1_micro": 0.9213500075335241, "test/p_macro": 0.9108005473257946, "test/p_micro": 0.9213500075335241, "test/r_macro": 0.9277037030373029, "test/r_micro": 0.9213500075335241}, "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": 0.8868544600938967, "test/f1_macro": 0.7505227584902805, "test/f1_micro": 0.8868544600938967, "test/p_macro": 0.7799427280247515, "test/p_micro": 0.8868544600938967, "test/r_macro": 0.7295143679103056, "test/r_micro": 0.8868544600938967}, "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": 0.7036836403033586, "test/f1_macro": 0.6937893013670059, "test/f1_micro": 0.7036836403033586, "test/p_macro": 0.716982351001218, "test/p_micro": 0.7036836403033586, "test/r_macro": 0.6781548106084475, "test/r_micro": 0.7036836403033586}, "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": 0.960283786603603, "test/f1_macro": 0.8893120683793279, "test/f1_micro": 0.960283786603603, "test/p_macro": 0.9017390555930042, "test/p_micro": 0.960283786603603, "test/r_macro": 0.8779250168988341, "test/r_micro": 0.960283786603603}, "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": 0.9157004073958007, "test/f1_macro": 0.9153408949649426, "test/f1_micro": 0.9157004073958008, "test/p_macro": 0.9117629882847273, "test/p_micro": 0.9157004073958007, "test/r_macro": 0.919466419602649, "test/r_micro": 0.9157004073958007}}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-large",
+  "_name_or_path": "relbert-roberta-large-semeval2012-v2-mask-prompt-c-nce",
   "architectures": [
     "RobertaModel"
   ],