add model

analogy.json

@@ -0,0 +1 @@
+{"distance_function": "cosine_similarity", "sat/test": 0.35014836795252224, "sat/valid": 0.35135135135135137, "u2/test": 0.39035087719298245, "u2/valid": 0.375, "u4/test": 0.43287037037037035, "u4/valid": 0.3958333333333333, "google/test": 0.644, "google/valid": 0.62, "bats/test": 0.5202890494719289, "bats/valid": 0.5226130653266332, "sat_full": 0.3502673796791444}

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": 0.8461654361910502, "test/f1_macro": 0.8411664963735426, "test/f1_micro": 0.8461654361910502, "test/p_macro": 0.8386010834504806, "test/p_micro": 0.8461654361910502, "test/r_macro": 0.8546717565662739, "test/r_micro": 0.8461654361910502}, "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": 0.8145539906103286, "test/f1_macro": 0.5873414064116238, "test/f1_micro": 0.8145539906103286, "test/p_macro": 0.6669162869131963, "test/p_micro": 0.8145539906103286, "test/r_macro": 0.5702529287248177, "test/r_micro": 0.8145539906103286}, "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": 0.6505958829902492, "test/f1_macro": 0.6269958308732405, "test/f1_micro": 0.6505958829902492, "test/p_macro": 0.6701915431146678, "test/p_micro": 0.6505958829902492, "test/r_macro": 0.6153908312145651, "test/r_micro": 0.6505958829902492}, "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": 0.9319051262433052, "test/f1_macro": 0.8393686548194149, "test/f1_micro": 0.9319051262433052, "test/p_macro": 0.8725590246450574, "test/p_micro": 0.9319051262433052, "test/r_macro": 0.8287482768676615, "test/r_micro": 0.9319051262433052}, "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": 0.7511751801942964, "test/f1_macro": 0.6464435364634403, "test/f1_micro": 0.7511751801942964, "test/p_macro": 0.8628941714058399, "test/p_micro": 0.7511751801942964, "test/r_macro": 0.680172950074564, "test/r_micro": 0.7511751801942964}}

config.json

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