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model: |
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transformer_config: |
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remaining_frames_method: "own_embeddings" |
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transformer_type: "gpt2-medium" |
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first_stage_config: |
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checkpoint_path: GANime/checkpoints/kny_image_full_vgg19/checkpoint |
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vqvae_config: |
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beta: 0.25 |
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num_embeddings: 50257 |
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embedding_dim: 128 |
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autoencoder_config: |
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z_channels: 512 |
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channels: 32 |
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channels_multiplier: |
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- 2 |
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- 4 |
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- 8 |
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- 8 |
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num_res_blocks: 1 |
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attention_resolution: |
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- 16 |
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resolution: 128 |
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dropout: 0.0 |
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discriminator_config: |
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num_layers: 3 |
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filters: 64 |
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loss_config: |
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discriminator: |
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loss: "hinge" |
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factor: 1.0 |
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iter_start: 16200 |
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weight: 0.3 |
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vqvae: |
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codebook_weight: 1.0 |
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perceptual_weight: 4.0 |
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perceptual_loss: "vgg19" |
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train: |
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batch_size: 64 |
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accumulation_size: 1 |
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n_epochs: 2000 |
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len_x_train: 8000 |
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warmup_epoch_percentage: 0.15 |
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lr_start: 1e-5 |
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lr_max: 2.5e-4 |
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perceptual_loss_weight: 1.0 |
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n_frames_before: 1 |
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stop_ground_truth_after_epoch: 50 |
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