diff options
Diffstat (limited to 'training/conf')
| -rw-r--r-- | training/conf/experiment/vqvae.yaml | 11 | ||||
| -rw-r--r-- | training/conf/lr_scheduler/cosine_annealing.yaml | 7 | ||||
| -rw-r--r-- | training/conf/lr_scheduler/one_cycle.yaml | 4 | ||||
| -rw-r--r-- | training/conf/model/lit_vqvae.yaml | 4 | ||||
| -rw-r--r-- | training/conf/network/decoder/vae_decoder.yaml | 2 | ||||
| -rw-r--r-- | training/conf/network/encoder/vae_encoder.yaml | 2 | ||||
| -rw-r--r-- | training/conf/network/vqvae.yaml | 2 | ||||
| -rw-r--r-- | training/conf/optimizer/madgrad.yaml | 2 |
8 files changed, 22 insertions, 12 deletions
diff --git a/training/conf/experiment/vqvae.yaml b/training/conf/experiment/vqvae.yaml index eb40f3b..7a9e643 100644 --- a/training/conf/experiment/vqvae.yaml +++ b/training/conf/experiment/vqvae.yaml @@ -5,6 +5,7 @@ defaults: - override /criterion: mse - override /model: lit_vqvae - override /callbacks: wandb_vae + - override /lr_scheduler: cosine_annealing trainer: max_epochs: 64 @@ -13,11 +14,11 @@ trainer: datamodule: batch_size: 16 -lr_scheduler: - epochs: 64 - steps_per_epoch: 1245 +# lr_scheduler: + # epochs: 64 + # steps_per_epoch: 1245 -optimizer: - lr: 1.0e-3 +# optimizer: + # lr: 1.0e-3 summary: [1, 576, 640] diff --git a/training/conf/lr_scheduler/cosine_annealing.yaml b/training/conf/lr_scheduler/cosine_annealing.yaml new file mode 100644 index 0000000..62667bb --- /dev/null +++ b/training/conf/lr_scheduler/cosine_annealing.yaml @@ -0,0 +1,7 @@ +_target_: torch.optim.lr_scheduler.CosineAnnealingLR +T_max: 64 +eta_min: 0.0 +last_epoch: -1 + +interval: epoch +monitor: val/loss diff --git a/training/conf/lr_scheduler/one_cycle.yaml b/training/conf/lr_scheduler/one_cycle.yaml index eecee8a..fb5987a 100644 --- a/training/conf/lr_scheduler/one_cycle.yaml +++ b/training/conf/lr_scheduler/one_cycle.yaml @@ -13,3 +13,7 @@ final_div_factor: 10000.0 three_phase: true last_epoch: -1 verbose: false + +# Non-class arguments +interval: step +monitor: val/loss diff --git a/training/conf/model/lit_vqvae.yaml b/training/conf/model/lit_vqvae.yaml index 409fa0d..632668b 100644 --- a/training/conf/model/lit_vqvae.yaml +++ b/training/conf/model/lit_vqvae.yaml @@ -1,4 +1,2 @@ _target_: text_recognizer.models.vqvae.VQVAELitModel -interval: step -monitor: val/loss -latent_loss_weight: 1.0 +latent_loss_weight: 0.25 diff --git a/training/conf/network/decoder/vae_decoder.yaml b/training/conf/network/decoder/vae_decoder.yaml index b2090b3..0a36a54 100644 --- a/training/conf/network/decoder/vae_decoder.yaml +++ b/training/conf/network/decoder/vae_decoder.yaml @@ -1,5 +1,5 @@ _target_: text_recognizer.networks.vqvae.decoder.Decoder out_channels: 1 hidden_dim: 32 -channels_multipliers: [8, 6, 2, 1] +channels_multipliers: [4, 4, 2, 1] dropout_rate: 0.25 diff --git a/training/conf/network/encoder/vae_encoder.yaml b/training/conf/network/encoder/vae_encoder.yaml index 5dc6814..dacd389 100644 --- a/training/conf/network/encoder/vae_encoder.yaml +++ b/training/conf/network/encoder/vae_encoder.yaml @@ -1,5 +1,5 @@ _target_: text_recognizer.networks.vqvae.encoder.Encoder in_channels: 1 hidden_dim: 32 -channels_multipliers: [1, 2, 6, 8] +channels_multipliers: [1, 2, 4, 4] dropout_rate: 0.25 diff --git a/training/conf/network/vqvae.yaml b/training/conf/network/vqvae.yaml index 835d0b7..d97e9b6 100644 --- a/training/conf/network/vqvae.yaml +++ b/training/conf/network/vqvae.yaml @@ -3,7 +3,7 @@ defaults: - decoder: vae_decoder _target_: text_recognizer.networks.vqvae.vqvae.VQVAE -hidden_dim: 256 +hidden_dim: 128 embedding_dim: 32 num_embeddings: 1024 decay: 0.99 diff --git a/training/conf/optimizer/madgrad.yaml b/training/conf/optimizer/madgrad.yaml index 46b2fff..458b116 100644 --- a/training/conf/optimizer/madgrad.yaml +++ b/training/conf/optimizer/madgrad.yaml @@ -1,5 +1,5 @@ _target_: madgrad.MADGRAD -lr: 2.0e-4 +lr: 3.0e-4 momentum: 0.9 weight_decay: 0 eps: 1.0e-6 |