add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.3768545994065282, "sat/valid": 0.32432432432432434, "u2/test": 0.37719298245614036, "u2/valid": 0.3333333333333333, "u4/test": 0.3541666666666667, "u4/valid": 0.3125, "google/test": 0.428, "google/valid": 0.42, "bats/test": 0.34185658699277377, "bats/valid": 0.3065326633165829, "sat_full": 0.3716577540106952}

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": 0.899201446436643, "test/f1_macro": 0.888889751667277, "test/f1_micro": 0.899201446436643, "test/p_macro": 0.8735198807212735, "test/p_micro": 0.899201446436643, "test/r_macro": 0.9073174385556638, "test/r_micro": 0.899201446436643}, "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": 0.7814553990610329, "test/f1_macro": 0.5516320672010655, "test/f1_micro": 0.7814553990610328, "test/p_macro": 0.5668698452743949, "test/p_micro": 0.7814553990610329, "test/r_macro": 0.565298548190506, "test/r_micro": 0.7814553990610329}, "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": 0.6408450704225352, "test/f1_macro": 0.6082440999373899, "test/f1_micro": 0.6408450704225352, "test/p_macro": 0.6596331930508065, "test/p_micro": 0.6408450704225352, "test/r_macro": 0.5923532796758717, "test/r_micro": 0.6408450704225352}, "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": 0.9525631216526397, "test/f1_macro": 0.862670256588896, "test/f1_micro": 0.9525631216526397, "test/p_macro": 0.8636655618787051, "test/p_micro": 0.9525631216526397, "test/r_macro": 0.8618256222563091, "test/r_micro": 0.9525631216526397}, "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": 0.840802256345973, "test/f1_macro": 0.8106179148472547, "test/f1_micro": 0.840802256345973, "test/p_macro": 0.8932674939226662, "test/p_micro": 0.840802256345973, "test/r_macro": 0.7971288423096325, "test/r_micro": 0.840802256345973}}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-base",
+  "_name_or_path": "relbert-roberta-base-semeval2012-v6-average-prompt-a-triplet-1",
   "architectures": [
     "RobertaModel"
   ],