add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.3649851632047478, "sat/valid": 0.2972972972972973, "u2/test": 0.3333333333333333, "u2/valid": 0.375, "u4/test": 0.3101851851851852, "u4/valid": 0.3333333333333333, "google/test": 0.532, "google/valid": 0.42, "bats/test": 0.4280155642023346, "bats/valid": 0.4271356783919598, "sat_full": 0.3582887700534759}

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": 0.846014765707398, "test/f1_macro": 0.8315897128108677, "test/f1_micro": 0.8460147657073979, "test/p_macro": 0.8315015979767395, "test/p_micro": 0.846014765707398, "test/r_macro": 0.8388155170188359, "test/r_micro": 0.846014765707398}, "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": 0.8084507042253521, "test/f1_macro": 0.5269777075808457, "test/f1_micro": 0.8084507042253521, "test/p_macro": 0.6047298055163125, "test/p_micro": 0.8084507042253521, "test/r_macro": 0.5274085412489754, "test/r_micro": 0.8084507042253521}, "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": 0.6424702058504875, "test/f1_macro": 0.6178608994596904, "test/f1_micro": 0.6424702058504875, "test/p_macro": 0.6671985548374568, "test/p_micro": 0.6424702058504875, "test/r_macro": 0.5951131359637692, "test/r_micro": 0.6424702058504875}, "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": 0.913612019197329, "test/f1_macro": 0.7738790468743169, "test/f1_micro": 0.913612019197329, "test/p_macro": 0.8666436519843447, "test/p_micro": 0.913612019197329, "test/r_macro": 0.759499703980056, "test/r_micro": 0.913612019197329}, "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": 0.8693199623942338, "test/f1_macro": 0.864532922094076, "test/f1_micro": 0.8693199623942337, "test/p_macro": 0.8660995012803733, "test/p_micro": 0.8693199623942338, "test/r_macro": 0.8641475088820747, "test/r_micro": 0.8693199623942338}}

config.json

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