asahi417 commited on
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53128ae
1 Parent(s): 7ea71be

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": 0.9196926322133494, "test/f1_macro": 0.9153080947914317, "test/f1_micro": 0.9196926322133494, "test/p_macro": 0.9122788039867767, "test/p_micro": 0.9196926322133494, "test/r_macro": 0.918497478205159, "test/r_micro": 0.9196926322133494}, "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": 0.8715962441314554, "test/f1_macro": 0.7255280883118129, "test/f1_micro": 0.8715962441314554, "test/p_macro": 0.7643456090791407, "test/p_micro": 0.8715962441314554, "test/r_macro": 0.6942275961141511, "test/r_micro": 0.8715962441314554}, "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": 0.699349945828819, "test/f1_macro": 0.6824088213474949, "test/f1_micro": 0.699349945828819, "test/p_macro": 0.6819760819761888, "test/p_micro": 0.699349945828819, "test/r_macro": 0.6861221832568327, "test/r_micro": 0.699349945828819}, "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": 0.9533977881338248, "test/f1_macro": 0.8578016229945142, "test/f1_micro": 0.9533977881338248, "test/p_macro": 0.8633242231395606, "test/p_micro": 0.9533977881338248, "test/r_macro": 0.853690672059982, "test/r_micro": 0.9533977881338248}, "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": 0.9113130680037606, "test/f1_macro": 0.910034270119033, "test/f1_micro": 0.9113130680037606, "test/p_macro": 0.9112329787136554, "test/p_micro": 0.9113130680037606, "test/r_macro": 0.9089319248183229, "test/r_micro": 0.9113130680037606}}