evilallennlp / config.json
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{
"dataset_reader": {
"type": "squad",
"token_indexers": {
"elmo": {
"type": "elmo_characters"
},
"token_characters": {
"type": "characters",
"character_tokenizer": {
"byte_encoding": "utf-8",
"end_tokens": [
260
],
"start_tokens": [
259
]
},
"min_padding_length": 5
},
"tokens": {
"type": "single_id",
"lowercase_tokens": true
}
}
},
"model": {
"type": "bidaf",
"dropout": 0.2,
"matrix_attention": {
"type": "linear",
"combination": "x,y,x*y",
"tensor_1_dim": 200,
"tensor_2_dim": 200
},
"modeling_layer": {
"type": "lstm",
"bidirectional": true,
"dropout": 0.2,
"hidden_size": 100,
"input_size": 800,
"num_layers": 2
},
"num_highway_layers": 2,
"phrase_layer": {
"type": "lstm",
"bidirectional": true,
"hidden_size": 100,
"input_size": 1224,
"num_layers": 1
},
"span_end_encoder": {
"type": "lstm",
"bidirectional": true,
"hidden_size": 100,
"input_size": 1400,
"num_layers": 1
},
"text_field_embedder": {
"token_embedders": {
"elmo": {
"type": "elmo_token_embedder",
"do_layer_norm": false,
"dropout": 0,
"options_file": "https://allennlp.s3.amazonaws.com/models/elmo/2x4096_512_2048cnn_2xhighway/elmo_2x4096_512_2048cnn_2xhighway_options.json",
"weight_file": "https://allennlp.s3.amazonaws.com/models/elmo/2x4096_512_2048cnn_2xhighway/elmo_2x4096_512_2048cnn_2xhighway_weights.hdf5"
},
"token_characters": {
"type": "character_encoding",
"dropout": 0.2,
"embedding": {
"embedding_dim": 16,
"num_embeddings": 262
},
"encoder": {
"type": "cnn",
"embedding_dim": 16,
"ngram_filter_sizes": [
5
],
"num_filters": 100
}
},
"tokens": {
"type": "embedding",
"embedding_dim": 100,
"pretrained_file": "https://allennlp.s3.amazonaws.com/datasets/glove/glove.6B.100d.txt.gz",
"trainable": false
}
}
}
},
"train_data_path": "https://allennlp.s3.amazonaws.com/datasets/squad/squad-train-v1.1.json",
"validation_data_path": "https://allennlp.s3.amazonaws.com/datasets/squad/squad-dev-v1.1.json",
"trainer": {
"callbacks": [
"tensorboard"
],
"grad_norm": 5,
"learning_rate_scheduler": {
"type": "reduce_on_plateau",
"factor": 0.5,
"mode": "max",
"patience": 2
},
"num_epochs": 20,
"optimizer": {
"type": "adam",
"betas": [
0.9,
0.9
]
},
"patience": 10,
"validation_metric": "+em"
},
"data_loader": {
"batch_sampler": {
"type": "bucket",
"batch_size": 40
}
}
}