asahi417 commited on
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776c7d7
1 Parent(s): 2e185c5

model update

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  1. classification.json +1 -0
classification.json ADDED
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+ {"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": 0.9202953141479584, "test/f1_macro": 0.9141904094450748, "test/f1_micro": 0.9202953141479584, "test/p_macro": 0.9114440890236231, "test/p_micro": 0.9202953141479584, "test/r_macro": 0.9176330810067251, "test/r_micro": 0.9202953141479584}, "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": 0.8737089201877934, "test/f1_macro": 0.7234367902362755, "test/f1_micro": 0.8737089201877934, "test/p_macro": 0.7545473431222247, "test/p_micro": 0.8737089201877934, "test/r_macro": 0.6976657608420005, "test/r_micro": 0.8737089201877934}, "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": 0.6895991332611051, "test/f1_macro": 0.6754056888161498, "test/f1_micro": 0.6895991332611051, "test/p_macro": 0.6831938880807963, "test/p_micro": 0.6895991332611051, "test/r_macro": 0.669383639850923, "test/r_micro": 0.6895991332611051}, "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": 0.960283786603603, "test/f1_macro": 0.8772846038877066, "test/f1_micro": 0.960283786603603, "test/p_macro": 0.8905051947159565, "test/p_micro": 0.960283786603603, "test/r_macro": 0.8652515866271528, "test/r_micro": 0.960283786603603}, "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": 0.9204011281729865, "test/f1_macro": 0.9178047382633787, "test/f1_micro": 0.9204011281729865, "test/p_macro": 0.9214920811450638, "test/p_micro": 0.9204011281729865, "test/r_macro": 0.9147134839298346, "test/r_micro": 0.9204011281729865}}