add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.599406528189911, "sat/valid": 0.5945945945945946, "u2/test": 0.5175438596491229, "u2/valid": 0.5, "u4/test": 0.6203703703703703, "u4/valid": 0.5416666666666666, "google/test": 0.9, "google/valid": 0.96, "bats/test": 0.7570872707059477, "bats/valid": 0.7738693467336684, "sat_full": 0.5989304812834224}

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": 0.9142684948018683, "test/f1_macro": 0.9110348384096337, "test/f1_micro": 0.9142684948018682, "test/p_macro": 0.9043273689451924, "test/p_micro": 0.9142684948018683, "test/r_macro": 0.9185714221062412, "test/r_micro": 0.9142684948018683}, "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": 0.8523474178403756, "test/f1_macro": 0.6846296909617913, "test/f1_micro": 0.8523474178403756, "test/p_macro": 0.7102675446938862, "test/p_micro": 0.8523474178403756, "test/r_macro": 0.6642194902051881, "test/r_micro": 0.8523474178403756}, "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": 0.6728060671722643, "test/f1_macro": 0.6659943041357158, "test/f1_micro": 0.6728060671722643, "test/p_macro": 0.6596396759492669, "test/p_micro": 0.6728060671722643, "test/r_macro": 0.6748216640745909, "test/r_micro": 0.6728060671722643}, "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": 0.9463031230437504, "test/f1_macro": 0.8467358173655017, "test/f1_micro": 0.9463031230437504, "test/p_macro": 0.8374972305097849, "test/p_micro": 0.9463031230437504, "test/r_macro": 0.8569400507382785, "test/r_micro": 0.9463031230437504}, "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": 0.8968975242870574, "test/f1_macro": 0.8954832383340866, "test/f1_micro": 0.8968975242870574, "test/p_macro": 0.8944408539492795, "test/p_micro": 0.8968975242870574, "test/r_macro": 0.896579528745259, "test/r_micro": 0.8968975242870574}}

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "roberta-large",
+  "_name_or_path": "relbert-roberta-large-semeval2012-v2-average-no-mask-prompt-b-nce",
   "architectures": [
     "RobertaModel"
   ],