diff options
Diffstat (limited to 'training/configs')
| -rw-r--r-- | training/configs/cnn_transformer.yaml | 90 | ||||
| -rw-r--r-- | training/configs/vqvae.yaml | 89 |
2 files changed, 0 insertions, 179 deletions
diff --git a/training/configs/cnn_transformer.yaml b/training/configs/cnn_transformer.yaml deleted file mode 100644 index a4f16df..0000000 --- a/training/configs/cnn_transformer.yaml +++ /dev/null @@ -1,90 +0,0 @@ -seed: 4711 - -network: - desc: Configuration of the PyTorch neural network. - type: CNNTransformer - args: - encoder: - type: EfficientNet - args: null - num_decoder_layers: 4 - vocab_size: 84 - hidden_dim: 256 - num_heads: 4 - expansion_dim: 1024 - dropout_rate: 0.1 - transformer_activation: glu - -model: - desc: Configuration of the PyTorch Lightning model. - type: LitTransformerModel - args: - optimizer: - type: MADGRAD - args: - lr: 1.0e-3 - momentum: 0.9 - weight_decay: 0 - eps: 1.0e-6 - lr_scheduler: - type: OneCycleLR - args: - interval: &interval step - max_lr: 1.0e-3 - three_phase: true - epochs: 512 - steps_per_epoch: 1246 # num_samples / batch_size - criterion: - type: CrossEntropyLoss - args: - weight: null - ignore_index: -100 - reduction: mean - monitor: val_loss - mapping: sentence_piece - -data: - desc: Configuration of the training/test data. - type: IAMExtendedParagraphs - args: - batch_size: 8 - num_workers: 12 - train_fraction: 0.8 - augment: true - -callbacks: - - type: ModelCheckpoint - args: - monitor: val_loss - mode: min - save_last: true - # - type: StochasticWeightAveraging - # args: - # swa_epoch_start: 0.8 - # swa_lrs: 0.05 - # annealing_epochs: 10 - # annealing_strategy: cos - # device: null - - type: LearningRateMonitor - args: - logging_interval: *interval - # - type: EarlyStopping - # args: - # monitor: val_loss - # mode: min - # patience: 10 - -trainer: - desc: Configuration of the PyTorch Lightning Trainer. - args: - stochastic_weight_avg: false - auto_scale_batch_size: binsearch - gradient_clip_val: 0 - fast_dev_run: true - gpus: 1 - precision: 16 - max_epochs: 512 - terminate_on_nan: true - weights_summary: top - -load_checkpoint: null diff --git a/training/configs/vqvae.yaml b/training/configs/vqvae.yaml deleted file mode 100644 index 13d7c97..0000000 --- a/training/configs/vqvae.yaml +++ /dev/null @@ -1,89 +0,0 @@ -seed: 4711 - -network: - desc: Configuration of the PyTorch neural network. - type: VQVAE - args: - in_channels: 1 - channels: [32, 64, 64, 96, 96] - kernel_sizes: [4, 4, 4, 4, 4] - strides: [2, 2, 2, 2, 2] - num_residual_layers: 2 - embedding_dim: 512 - num_embeddings: 1024 - upsampling: null - beta: 0.25 - activation: leaky_relu - dropout_rate: 0.2 - -model: - desc: Configuration of the PyTorch Lightning model. - type: LitVQVAEModel - args: - optimizer: - type: MADGRAD - args: - lr: 1.0e-3 - momentum: 0.9 - weight_decay: 0 - eps: 1.0e-6 - lr_scheduler: - type: OneCycleLR - args: - interval: &interval step - max_lr: 1.0e-3 - three_phase: true - epochs: 64 - steps_per_epoch: 633 # num_samples / batch_size - criterion: - type: MSELoss - args: - reduction: mean - monitor: val_loss - mapping: sentence_piece - -data: - desc: Configuration of the training/test data. - type: IAMExtendedParagraphs - args: - batch_size: 32 - num_workers: 12 - train_fraction: 0.8 - augment: true - -callbacks: - - type: ModelCheckpoint - args: - monitor: val_loss - mode: min - save_last: true - - type: StochasticWeightAveraging - args: - swa_epoch_start: 0.8 - swa_lrs: 0.05 - annealing_epochs: 10 - annealing_strategy: cos - device: null - - type: LearningRateMonitor - args: - logging_interval: *interval - # - type: EarlyStopping - # args: - # monitor: val_loss - # mode: min - # patience: 10 - -trainer: - desc: Configuration of the PyTorch Lightning Trainer. - args: - stochastic_weight_avg: true - auto_scale_batch_size: binsearch - gradient_clip_val: 0 - fast_dev_run: false - gpus: 1 - precision: 16 - max_epochs: 64 - terminate_on_nan: true - weights_summary: top - -load_checkpoint: null |