train_options.json of data2vis

train_options.json

{
    "model_class": "AttentionSeq2Seq",
    "model_params": {
        "encoder.params": {
            "rnn_cell": {
                "dropout_input_keep_prob": 0.5,
                "num_layers": 2,
                "cell_params": {
                    "num_units": 512
                },
                "dropout_output_keep_prob": 1.0,
                "cell_class": "LSTMCell"
            }
        },
        "encoder.class": "seq2seq.encoders.BidirectionalRNNEncoder",
        "decoder.params": {
            "rnn_cell": {
                "dropout_input_keep_prob": 0.5,
                "num_layers": 2,
                "cell_params": {
                    "num_units": 512
                },
                "dropout_output_keep_prob": 1.0,
                "cell_class": "LSTMCell"
            },
            "max_decode_length": 2000
        },
        "decoder.class": "seq2seq.decoders.AttentionDecoder",
        "inference.beam_search.beam_width": 5,
        "attention.params": {
            "num_units": 512
        },
        "attention.class": "seq2seq.decoders.attention.AttentionLayerDot",
        "bridge.class": "seq2seq.models.bridges.ZeroBridge",
        "embedding.dim": 512,

        "optimizer.name": "Adam",
        "optimizer.learning_rate": 0.0001,
        "optimizer.params": {
            "epsilon": 8e-07
        },

        "source.reverse": false,
        "source.max_seq_len": 500,
        "vocab_source": "sourcedata/vocab.source",
        "vocab_target": "sourcedata/vocab.target",
        "target.max_seq_len": 500
    }
}