End of training
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- .gitignore +2 -0
- README.md +32 -0
- checkpoint-500/unet/config.json +0 -0
- checkpoint-500/unet/diffusion_pytorch_model.bin +3 -0
- checkpoint-500/unet_ema/config.json +43 -0
- checkpoint-500/unet_ema/diffusion_pytorch_model.bin +3 -0
- image_0.png +0 -0
- image_1.png +0 -0
- image_10.png +0 -0
- image_11.png +0 -0
- image_12.png +0 -0
- image_13.png +0 -0
- image_14.png +0 -0
- image_15.png +0 -0
- image_2.png +0 -0
- image_3.png +0 -0
- image_4.png +0 -0
- image_5.png +0 -0
- image_6.png +0 -0
- image_7.png +0 -0
- image_8.png +0 -0
- image_9.png +0 -0
- logs/consistency-distillation/1689074974.497119/events.out.tfevents.1689074974.DESKTOP-5RK1CSO.27200.1 +3 -0
- logs/consistency-distillation/1689074974.5072012/hparams.yml +38 -0
- logs/consistency-distillation/1689145670.3773637/events.out.tfevents.1689145670.DESKTOP-5RK1CSO.6260.1 +3 -0
- logs/consistency-distillation/1689145670.3856902/hparams.yml +39 -0
- logs/consistency-distillation/1689154469.4658377/events.out.tfevents.1689154469.DESKTOP-5RK1CSO.28376.1 +3 -0
- logs/consistency-distillation/1689154469.4759262/hparams.yml +39 -0
- logs/consistency-distillation/1689154630.6460533/events.out.tfevents.1689154630.DESKTOP-5RK1CSO.900.1 +3 -0
- logs/consistency-distillation/1689154630.6750646/hparams.yml +39 -0
- logs/consistency-distillation/1689158052.0403893/events.out.tfevents.1689158052.DESKTOP-5RK1CSO.35884.1 +3 -0
- logs/consistency-distillation/1689158052.049507/hparams.yml +39 -0
- logs/consistency-distillation/1689158287.0088487/events.out.tfevents.1689158287.DESKTOP-5RK1CSO.40660.1 +3 -0
- logs/consistency-distillation/1689158287.016374/hparams.yml +39 -0
- logs/consistency-distillation/1689158979.1587937/events.out.tfevents.1689158979.DESKTOP-5RK1CSO.44652.1 +3 -0
- logs/consistency-distillation/1689158979.1683388/hparams.yml +39 -0
- logs/consistency-distillation/1689159112.2933784/events.out.tfevents.1689159112.DESKTOP-5RK1CSO.41484.1 +3 -0
- logs/consistency-distillation/1689159112.3039129/hparams.yml +39 -0
- logs/consistency-distillation/1689159276.2743661/events.out.tfevents.1689159276.DESKTOP-5RK1CSO.616.1 +3 -0
- logs/consistency-distillation/1689159276.2844224/hparams.yml +39 -0
- logs/consistency-distillation/1689159506.8864691/events.out.tfevents.1689159506.DESKTOP-5RK1CSO.17680.1 +3 -0
- logs/consistency-distillation/1689159506.8971152/hparams.yml +39 -0
- logs/consistency-distillation/1689159693.300266/events.out.tfevents.1689159693.DESKTOP-5RK1CSO.3868.1 +3 -0
- logs/consistency-distillation/1689159693.3108633/hparams.yml +39 -0
- logs/consistency-distillation/events.out.tfevents.1689074974.DESKTOP-5RK1CSO.27200.0 +3 -0
- logs/consistency-distillation/events.out.tfevents.1689145670.DESKTOP-5RK1CSO.6260.0 +3 -0
- logs/consistency-distillation/events.out.tfevents.1689154469.DESKTOP-5RK1CSO.28376.0 +3 -0
- logs/consistency-distillation/events.out.tfevents.1689154630.DESKTOP-5RK1CSO.900.0 +3 -0
- logs/consistency-distillation/events.out.tfevents.1689158052.DESKTOP-5RK1CSO.35884.0 +3 -0
- logs/consistency-distillation/events.out.tfevents.1689158286.DESKTOP-5RK1CSO.40660.0 +3 -0
.gitignore
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README.md
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---
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license: creativeml-openrail-m
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base_model: google/ddpm-cifar10-32
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tags:
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- consistency models
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- diffusers
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inference: true
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---
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# Consistency Model - ayushtues/cifar10-32
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This is a consistency model distilled from google/ddpm-cifar10-32.
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You can find some example images in the following.
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![img_0](./image_0.png)
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![img_1](./image_1.png)
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![img_2](./image_2.png)
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![img_3](./image_3.png)
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![img_4](./image_4.png)
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![img_5](./image_5.png)
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![img_6](./image_6.png)
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![img_7](./image_7.png)
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![img_8](./image_8.png)
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![img_9](./image_9.png)
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![img_10](./image_10.png)
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![img_11](./image_11.png)
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![img_12](./image_12.png)
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![img_13](./image_13.png)
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![img_14](./image_14.png)
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![img_15](./image_15.png)
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checkpoint-500/unet/config.json
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checkpoint-500/unet/diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:0ca696a137a79a4e6170a3666b1cc4fcf341f35eb4ea80507569f80a197e9d05
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size 5208083
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checkpoint-500/unet_ema/config.json
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{
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"_class_name": "UNet2DModel",
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"_diffusers_version": "0.18.0.dev0",
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"act_fn": "silu",
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"add_attention": true,
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"attention_head_dim": 8,
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"block_out_channels": [
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32,
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64
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],
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"center_input_sample": false,
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"class_embed_type": null,
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"decay": 0.9999,
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"down_block_types": [
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"ResnetDownsampleBlock2D",
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"AttnDownBlock2D"
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],
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"downsample_padding": 1,
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"downsample_type": "resnet",
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"flip_sin_to_cos": true,
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"freq_shift": 0,
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"in_channels": 3,
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"inv_gamma": 1.0,
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"layers_per_block": 2,
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"mid_block_scale_factor": 1,
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"min_decay": 0.0,
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"norm_eps": 1e-05,
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"norm_num_groups": 32,
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"num_class_embeds": 1000,
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"optimization_step": 500,
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"out_channels": 3,
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"power": 0.75,
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"resnet_time_scale_shift": "scale_shift",
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"sample_size": 32,
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"time_embedding_type": "positional",
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"up_block_types": [
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"AttnUpBlock2D",
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"ResnetUpsampleBlock2D"
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],
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"update_after_step": 0,
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"upsample_type": "resnet",
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"use_ema_warmup": true
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}
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checkpoint-500/unet_ema/diffusion_pytorch_model.bin
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size 5204947
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image_0.png
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image_1.png
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image_10.png
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image_11.png
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image_12.png
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image_13.png
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image_14.png
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image_15.png
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image_6.png
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image_7.png
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image_8.png
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image_9.png
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![]() |
logs/consistency-distillation/1689074974.497119/events.out.tfevents.1689074974.DESKTOP-5RK1CSO.27200.1
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logs/consistency-distillation/1689074974.5072012/hparams.yml
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adam_beta1: 0.95
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 1.0e-06
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cache_dir: null
|
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center_crop: true
|
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checkpointing_steps: 500
|
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checkpoints_total_limit: null
|
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: cifar10
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ema_inv_gamma: 1.0
|
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ema_max_decay: 0.9999
|
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ema_power: 0.75
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eval_batch_size: 16
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gradient_accumulation_steps: 1
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hub_model_id: null
|
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hub_private_repo: false
|
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hub_token: null
|
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learning_rate: 0.0001
|
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local_rank: -1
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logger: tensorboard
|
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logging_dir: logs
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lr_scheduler: cosine
|
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lr_warmup_steps: 500
|
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mixed_precision: 'no'
|
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model_config_name_or_path: null
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num_epochs: 100
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output_dir: cifar10-32
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overwrite_output_dir: false
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push_to_hub: true
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random_flip: true
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resolution: 32
|
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resume_from_checkpoint: null
|
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save_images_epochs: 10
|
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save_model_epochs: 10
|
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train_batch_size: 16
|
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train_data_dir: null
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logs/consistency-distillation/1689145670.3773637/events.out.tfevents.1689145670.DESKTOP-5RK1CSO.6260.1
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size 1880
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logs/consistency-distillation/1689145670.3856902/hparams.yml
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adam_beta1: 0.95
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 1.0e-06
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cache_dir: null
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center_crop: true
|
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
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dataset_config_name: null
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dataset_name: cifar10
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ema_inv_gamma: 1.0
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ema_max_decay: 0.9999
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ema_power: 0.75
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eval_batch_size: 16
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gradient_accumulation_steps: 1
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hub_model_id: null
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hub_private_repo: false
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hub_token: null
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learning_rate: 0.0001
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local_rank: -1
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logger: tensorboard
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logging_dir: logs
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lr_scheduler: cosine
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lr_warmup_steps: 500
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mixed_precision: 'no'
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model_config_name_or_path: null
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num_epochs: 100
|
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output_dir: cifar10-32
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overwrite_output_dir: false
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pretrained_teacher_model_name_or_path: google/ddpm-cifar10-32
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push_to_hub: true
|
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random_flip: true
|
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resolution: 32
|
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resume_from_checkpoint: null
|
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save_images_epochs: 10
|
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+
save_model_epochs: 10
|
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train_batch_size: 16
|
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train_data_dir: null
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logs/consistency-distillation/1689154469.4658377/events.out.tfevents.1689154469.DESKTOP-5RK1CSO.28376.1
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logs/consistency-distillation/1689154469.4759262/hparams.yml
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adam_beta1: 0.95
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adam_beta2: 0.999
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adam_epsilon: 1.0e-08
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adam_weight_decay: 1.0e-06
|
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cache_dir: null
|
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center_crop: true
|
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checkpointing_steps: 500
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checkpoints_total_limit: null
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dataloader_num_workers: 0
|
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dataset_config_name: null
|
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dataset_name: cifar10
|
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ema_inv_gamma: 1.0
|
13 |
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ema_max_decay: 0.9999
|
14 |
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ema_power: 0.75
|
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eval_batch_size: 16
|
16 |
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gradient_accumulation_steps: 1
|
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hub_model_id: null
|
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hub_private_repo: false
|
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hub_token: null
|
20 |
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learning_rate: 0.0001
|
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local_rank: -1
|
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logger: tensorboard
|
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+
logging_dir: logs
|
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+
lr_scheduler: cosine
|
25 |
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lr_warmup_steps: 500
|
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+
mixed_precision: 'no'
|
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+
model_config_name_or_path: null
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+
num_epochs: 100
|
29 |
+
output_dir: cifar10-32
|
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+
overwrite_output_dir: false
|
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+
pretrained_teacher_model_name_or_path: google/ddpm-cifar10-32
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+
push_to_hub: true
|
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+
random_flip: true
|
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+
resolution: 32
|
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resume_from_checkpoint: null
|
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save_images_epochs: 10
|
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save_model_epochs: 10
|
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+
train_batch_size: 16
|
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train_data_dir: null
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logs/consistency-distillation/1689154630.6460533/events.out.tfevents.1689154630.DESKTOP-5RK1CSO.900.1
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version https://git-lfs.github.com/spec/v1
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logs/consistency-distillation/1689154630.6750646/hparams.yml
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