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Diffstat (limited to 'config.cluster.yaml')
| -rw-r--r-- | config.cluster.yaml | 34 |
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diff --git a/config.cluster.yaml b/config.cluster.yaml new file mode 100644 index 0000000..a3def0e --- /dev/null +++ b/config.cluster.yaml @@ -0,0 +1,34 @@ +model: + n_cnn_layers: 3 + n_rnn_layers: 5 + rnn_dim: 512 + n_feats: 128 # number of mel features + stride: 2 + dropout: 0.25 # recommended to be around 0.4-0.6 for smaller datasets, 0.1 for really large datasets + +training: + learning_rate: 0.0005 + batch_size: 64 # recommended to maximum number that fits on the GPU (batch size of 32 fits on a 12GB GPU) + epochs: 150 + eval_every_n: 5 # evaluate every n epochs + num_workers: 8 # number of workers for dataloader + device: "cuda" # device to run inference on if gpu is available, else "cpu" will be set automatically + +dataset: + download: True + dataset_root_path: "/mnt/lustre/mladm/mfa252/data" # files will be downloaded into this dir + language_name: "mls_german_opus" + limited_supervision: False # set to True if you want to use limited supervision + dataset_percentage: 1.0 # percentage of dataset to use (1.0 = 100%) + shuffle: True + +tokenizer: + tokenizer_path: "data/tokenizers/char_tokenizer_german.json" + +checkpoints: + model_load_path: "data/runs/epoch31" # path to load model from + model_save_path: "data/runs/epoch" # path to save model to + +inference: + model_load_path: ~ # path to load model from + device: "cuda" # device to run inference on if gpu is available, else "cpu" will be set automatically
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