asahi417 commited on
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befc0ec
1 Parent(s): 120f2a1

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": 0.9174325749585657, "test/f1_macro": 0.9129994415974204, "test/f1_micro": 0.9174325749585657, "test/p_macro": 0.9125428666376236, "test/p_micro": 0.9174325749585657, "test/r_macro": 0.9137020956625137, "test/r_micro": 0.9174325749585657}, "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": 0.8603286384976526, "test/f1_macro": 0.698172861434558, "test/f1_micro": 0.8603286384976526, "test/p_macro": 0.7322539546101261, "test/p_micro": 0.8603286384976526, "test/r_macro": 0.6715012956300163, "test/r_micro": 0.8603286384976526}, "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": 0.6679306608884074, "test/f1_macro": 0.6495733078766703, "test/f1_micro": 0.6679306608884074, "test/p_macro": 0.6443723845527517, "test/p_micro": 0.6679306608884074, "test/r_macro": 0.6579033262454764, "test/r_micro": 0.6679306608884074}, "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": 0.9611184530847882, "test/f1_macro": 0.8867329071712199, "test/f1_micro": 0.9611184530847882, "test/p_macro": 0.8973739723211962, "test/p_micro": 0.9611184530847882, "test/r_macro": 0.8767695395415691, "test/r_micro": 0.9611184530847882}, "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": 0.9012848636790974, "test/f1_macro": 0.9017314335034342, "test/f1_micro": 0.9012848636790974, "test/p_macro": 0.8974054919549118, "test/p_micro": 0.9012848636790974, "test/r_macro": 0.9075265114183687, "test/r_micro": 0.9012848636790974}}