add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.6023738872403561, "sat/valid": 0.6486486486486487, "u2/test": 0.5570175438596491, "u2/valid": 0.4583333333333333, "u4/test": 0.6342592592592593, "u4/valid": 0.5208333333333334, "google/test": 0.904, "google/valid": 0.94, "bats/test": 0.7793218454697054, "bats/valid": 0.7839195979899497, "sat_full": 0.606951871657754}

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": 0.9160765406056953, "test/f1_macro": 0.9122021728567965, "test/f1_micro": 0.9160765406056953, "test/p_macro": 0.9089043376272218, "test/p_micro": 0.9160765406056953, "test/r_macro": 0.9162701122920748, "test/r_micro": 0.9160765406056953}, "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": 0.8495305164319249, "test/f1_macro": 0.6901992286900205, "test/f1_micro": 0.8495305164319249, "test/p_macro": 0.7041764988980214, "test/p_micro": 0.8495305164319249, "test/r_macro": 0.6788560315565889, "test/r_micro": 0.8495305164319249}, "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": 0.6543878656554712, "test/f1_macro": 0.6403838038925135, "test/f1_micro": 0.6543878656554712, "test/p_macro": 0.6373790704101642, "test/p_micro": 0.6543878656554712, "test/r_macro": 0.6456080879266415, "test/r_micro": 0.6543878656554712}, "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": 0.954858454475899, "test/f1_macro": 0.867619689233697, "test/f1_micro": 0.954858454475899, "test/p_macro": 0.8897947143472654, "test/p_micro": 0.954858454475899, "test/r_macro": 0.8492532385498921, "test/r_micro": 0.954858454475899}, "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": 0.8987778125979317, "test/f1_macro": 0.8964916628332213, "test/f1_micro": 0.8987778125979317, "test/p_macro": 0.8973014059643593, "test/p_micro": 0.8987778125979317, "test/r_macro": 0.8958401780801136, "test/r_micro": 0.8987778125979317}}

config.json

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