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multi_squad_noans.json
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multi_squad_noans.json
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{
"dataset_reader": {
"class_name": "squad_dataset_reader",
"dataset": "MultiSQuAD",
"data_path": "{DOWNLOADS_PATH}/multi_squad/"
},
"dataset_iterator": {
"class_name": "multi_squad_iterator",
"seed": 1337,
"shuffle": true,
"with_answer_rate": 0.666
},
"chainer": {
"in": ["context_raw", "question_raw"],
"in_y": ["ans_raw", "ans_raw_start"],
"pipe": [
{
"class_name": "squad_preprocessor",
"id": "squad_prepr",
"context_limit": 400,
"question_limit": 150,
"char_limit": 16,
"in": ["context_raw", "question_raw"],
"out": ["context", "context_tokens", "context_chars",
"c_r2p", "c_p2r", "question",
"question_tokens", "question_chars", "spans"]
},
{
"class_name": "squad_ans_preprocessor",
"id": "squad_ans_prepr",
"in": ["ans_raw", "ans_raw_start", "c_r2p", "spans"],
"out": ["ans", "ans_start", "ans_end"]
},
{
"class_name": "squad_vocab_embedder",
"id": "vocab_embedder",
"level": "token",
"emb_folder": "{DOWNLOADS_PATH}/embeddings/",
"emb_url": "http://files.deeppavlov.ai/embeddings/wiki-news-300d-1M.vec",
"save_path": "{MODELS_PATH}/multi_squad_model_noans/emb/vocab_embedder.pckl",
"load_path": "{MODELS_PATH}/multi_squad_model_noans/emb/vocab_embedder.pckl",
"context_limit": "#squad_prepr.context_limit",
"question_limit": "#squad_prepr.question_limit",
"char_limit": "#squad_prepr.char_limit",
"fit_on": ["context_tokens", "question_tokens"],
"in": ["context_tokens", "question_tokens"],
"out": ["context_tokens_idxs", "question_tokens_idxs"]
},
{
"class_name": "squad_vocab_embedder",
"id": "char_vocab_embedder",
"level": "char",
"emb_folder": "{DOWNLOADS_PATH}/embeddings/",
"emb_url": "http://files.deeppavlov.ai/embeddings/wiki-news-300d-1M-char.vec",
"save_path": "{MODELS_PATH}/multi_squad_model_noans/emb/char_vocab_embedder.pckl",
"load_path": "{MODELS_PATH}/multi_squad_model_noans/emb/char_vocab_embedder.pckl",
"context_limit": "#squad_prepr.context_limit",
"question_limit": "#squad_prepr.question_limit",
"char_limit": "#squad_prepr.char_limit",
"fit_on": ["context_chars", "question_chars"],
"in": ["context_chars", "question_chars"],
"out": ["context_chars_idxs", "question_chars_idxs"]
},
{
"class_name": "squad_model",
"id": "squad",
"word_emb": "#vocab_embedder.emb_mat",
"char_emb": "#char_vocab_embedder.emb_mat",
"context_limit": "#squad_prepr.context_limit",
"question_limit": "#squad_prepr.question_limit",
"char_limit": "#squad_prepr.char_limit",
"train_char_emb": true,
"char_hidden_size": 100,
"encoder_hidden_size": 75,
"attention_hidden_size": 75,
"learning_rate": 0.1,
"min_learning_rate": 0.001,
"learning_rate_patience": 5,
"keep_prob": 0.7,
"grad_clip": 5.0,
"weight_decay": 1.0,
"noans_token": true,
"save_path": "{MODELS_PATH}/multi_squad_model_noans/model",
"load_path": "{MODELS_PATH}/multi_squad_model_noans/model",
"in": {
"c_tokens": "context_tokens_idxs",
"c_chars": "context_chars_idxs",
"q_tokens": "question_tokens_idxs",
"q_chars": "question_chars_idxs"
},
"in_y": {
"y1s": "ans_start",
"y2s": "ans_end"
},
"out": ["ans_start_predicted", "ans_end_predicted", "prob", "score"]
},
{
"class_name": "squad_ans_postprocessor",
"id": "squad_ans_postprepr",
"in": ["ans_start_predicted", "ans_end_predicted", "context_raw", "c_p2r", "spans"],
"out": ["ans_predicted", "ans_start_predicted", "ans_end_predicted"]
}
],
"out": ["ans_predicted", "ans_start_predicted", "score"]
},
"train": {
"show_examples": false,
"log_every_n_batches": 250,
"val_every_n_epochs": 1,
"batch_size": 64,
"pytest_max_batches": 2,
"validation_patience": 10,
"metrics": [
{
"name": "squad_v2_f1",
"inputs": ["ans_raw", "ans_predicted"]
},
{
"name": "squad_v2_em",
"inputs": ["ans_raw", "ans_predicted"]
}
],
"tensorboard_log_dir": "{MODELS_PATH}/multi_squad_model_noans/logs",
"evaluation_targets": ["valid"],
"class_name": "nn_trainer"
},
"metadata": {
"variables": {
"ROOT_PATH": "~/.deeppavlov",
"DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
"MODELS_PATH": "{ROOT_PATH}/models"
},
"requirements": [
"{DEEPPAVLOV_PATH}/requirements/tf.txt"
],
"download": [
{
"url": "http://files.deeppavlov.ai/deeppavlov_data/multi_squad_model_noans_1.1.tar.gz",
"subdir": "{MODELS_PATH}"
},
{
"url": "http://files.deeppavlov.ai/embeddings/wiki-news-300d-1M.vec",
"subdir": "{DOWNLOADS_PATH}/embeddings"
},
{
"url": "http://files.deeppavlov.ai/embeddings/wiki-news-300d-1M-char.vec",
"subdir": "{DOWNLOADS_PATH}/embeddings"
}
]
}
}