/
ranking_ubuntu_v2_torch_bert_uncased.json
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/
ranking_ubuntu_v2_torch_bert_uncased.json
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{
"dataset_reader": {
"class_name": "ubuntu_v2_reader",
"data_path": "{DOWNLOADS_PATH}/ubuntu_v2_data"
},
"dataset_iterator": {
"class_name": "siamese_iterator",
"seed": 243
},
"chainer": {
"in": [
"x"
],
"in_y": [
"y"
],
"pipe": [
{
"class_name": "torch_bert_ranker_preprocessor",
"vocab_file": "bert-base-uncased",
"do_lower_case": true,
"max_seq_length": 128,
"in": [
"x"
],
"out": [
"bert_features"
]
},
{
"class_name": "torch_bert_ranker",
"one_hot_labels": false,
"pretrained_bert": "bert-base-uncased",
"save_path": "{MODEL_PATH}/model",
"load_path": "{MODEL_PATH}/model",
"optimizer": "AdamW",
"optimizer_parameters": {
"lr": 2e-5,
"weight_decay": 1e-2,
"betas": [
0.9,
0.999
],
"eps": 1e-6
},
"in": [
"bert_features"
],
"in_y": [
"y"
],
"out": [
"predictions"
]
}
],
"out": [
"predictions"
]
},
"train": {
"batch_size": 32,
"pytest_max_batches": 2,
"train_metrics": [],
"metrics": [
"r@1",
"r@2",
"r@5"
],
"validation_patience": 1,
"val_every_n_epochs": 1,
"log_every_n_epochs": 1,
"evaluation_targets": [
"valid",
"test"
],
"class_name": "torch_trainer"
},
"metadata": {
"variables": {
"ROOT_PATH": "~/.deeppavlov",
"DOWNLOADS_PATH": "{ROOT_PATH}/downloads",
"MODELS_PATH": "{ROOT_PATH}/models",
"MODEL_PATH": "{MODELS_PATH}/ubuntu_v2_uncased_torch_bert_model"
},
"requirements": [
"{DEEPPAVLOV_PATH}/requirements/pytorch.txt",
"{DEEPPAVLOV_PATH}/requirements/transformers.txt"
],
"download": [
{
"url": "http://files.deeppavlov.ai/datasets/ubuntu_v2_data.tar.gz",
"subdir": "{DOWNLOADS_PATH}/ubuntu_v2_data"
},
{
"url": "http://files.deeppavlov.ai/deeppavlov_data/ubuntu_v2_uncased_torch_bert_model_v0.tar.gz",
"subdir": "{MODELS_PATH}"
}
]
}
}