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config.json
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68 lines (66 loc) · 1.68 KB
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{
"data_path": "/data/dl_lecture_data/TrainVal",
"tmp_path": "tmp",
"pretrained_models_path": "data/pretrained",
"datasets": {
"coco" : {
"train":{
"train_dir" : "train2014",
"train_annotation_file" : "annotations/captions_train2014.json"
},
"validation":{
"validation_dir" : "val2014",
"validation_annotation_file" : "annotations/captions_val2014.json"
}
}
},
"files": {
"pretrained": {
"word_vectors": {
"fasttext": {
"path": "fasttext/wiki.en.vec",
"embedding_size": 300,
"uri": {
"url": "https://s3-us-west-1.amazonaws.com/fasttext-vectors/wiki.en.vec",
"type": "file"
}
},
"glove": {
"path": "glove/glove.42B.300d.txt",
"embedding_size": 300,
"uri": {
"url": "http://nlp.stanford.edu/data/glove.42B.300d.zip",
"type": "zip"
}
}
}
}
},
"params": {
"batch_size": 32,
"max_files": 0,
"skip_files": 0,
"bidirectional_rnn": false,
"dataset_name": "coco",
"dropout_rate": 0.21972921573455206,
"early_stopping_patience": 10,
"embedding_size": 300,
"epochs": 33,
"image_augmentation": null,
"initializer": "glorot_uniform",
"l1_reg": 0.0,
"l2_reg": 0.0,
"learning_rate": 0.0005050182149478269,
"lemmatize_caption": false,
"pad_images": false,
"reduce_lr_factor": 0.3,
"reduce_lr_patience": 3,
"rnn_layers": 3,
"rnn_output_size": 300,
"rnn_type": "lstm",
"time_limit": null,
"vocab_size": 2536,
"word_vector_init": "fasttext"
},
"print_layer_outputs": false
}