add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.7181008902077152, "sat/valid": 0.7027027027027027, "u2/test": 0.6359649122807017, "u2/valid": 0.5833333333333334, "u4/test": 0.6435185185185185, "u4/valid": 0.5416666666666666, "google/test": 0.946, "google/valid": 0.98, "bats/test": 0.7626459143968871, "bats/valid": 0.8040201005025126, "sat_full": 0.7165775401069518}

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": 0.9264728039777008, "test/f1_macro": 0.9236796530968624, "test/f1_micro": 0.9264728039777008, "test/p_macro": 0.9205607759436921, "test/p_micro": 0.9264728039777008, "test/r_macro": 0.9271612637296652, "test/r_micro": 0.9264728039777008}, "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": 0.8760563380281691, "test/f1_macro": 0.7316819468333253, "test/f1_micro": 0.8760563380281691, "test/p_macro": 0.7691303519443895, "test/p_micro": 0.8760563380281691, "test/r_macro": 0.7013245218701624, "test/r_micro": 0.8760563380281691}, "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": 0.7085590465872156, "test/f1_macro": 0.6972629880144019, "test/f1_micro": 0.7085590465872156, "test/p_macro": 0.7215703191625179, "test/p_micro": 0.7085590465872156, "test/r_macro": 0.679472366372026, "test/r_micro": 0.7085590465872156}, "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": 0.9585448981011337, "test/f1_macro": 0.8754227812726614, "test/f1_micro": 0.9585448981011337, "test/p_macro": 0.8726169752722601, "test/p_micro": 0.9585448981011337, "test/r_macro": 0.8790819103059412, "test/r_micro": 0.9585448981011337}, "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": 0.9088060169225948, "test/f1_macro": 0.9075082674855798, "test/f1_micro": 0.9088060169225948, "test/p_macro": 0.906223848600515, "test/p_micro": 0.9088060169225948, "test/r_macro": 0.9088401436900009, "test/r_micro": 0.9088060169225948}}

config.json

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