Skip to content

Trining on big files 25+ MB gets killed #13

@Yyyyaaaannnnoooo

Description

@Yyyyaaaannnnoooo

I'm training the LSTM with some 80 MB files with the specified hyperparameters

python train.py --data_dir=./data    --rnn_size 2048    --num_layers 2   --seq_length 256 --batch_size 128 --output_keep_prob 0.25

but after few minutes the job gets killed.
Is the file too big?

Metadata

Metadata

Assignees

No one assigned

    Labels

    No labels
    No labels

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions