asahi417 commited on
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adb6ef4
1 Parent(s): f8429e4

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": 0.9245140876902215, "test/f1_macro": 0.9217193105874872, "test/f1_micro": 0.9245140876902215, "test/p_macro": 0.909902201481361, "test/p_micro": 0.9245140876902215, "test/r_macro": 0.9350974978861947, "test/r_micro": 0.9245140876902215}, "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": 0.8809859154929578, "test/f1_macro": 0.7387527642398365, "test/f1_micro": 0.8809859154929578, "test/p_macro": 0.7698334455137121, "test/p_micro": 0.8809859154929578, "test/r_macro": 0.7137167636960366, "test/r_micro": 0.8809859154929578}, "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": 0.7134344528710725, "test/f1_macro": 0.6978567457746659, "test/f1_micro": 0.7134344528710725, "test/p_macro": 0.6958051226064507, "test/p_micro": 0.7134344528710725, "test/r_macro": 0.7053387650481492, "test/r_micro": 0.7134344528710725}, "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": 0.955484454336788, "test/f1_macro": 0.8778253752250313, "test/f1_micro": 0.955484454336788, "test/p_macro": 0.9131119758729839, "test/p_micro": 0.955484454336788, "test/r_macro": 0.8507718849809592, "test/r_micro": 0.955484454336788}, "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": 0.909746161078032, "test/f1_macro": 0.9088078445136086, "test/f1_micro": 0.909746161078032, "test/p_macro": 0.9076246065057311, "test/p_micro": 0.909746161078032, "test/r_macro": 0.9100691684684331, "test/r_micro": 0.909746161078032}}