Upload folder using huggingface_hub
Browse files- 35000/mp_rank_00_model_states.pt +3 -0
- latest +1 -0
- model_config.json +4 -0
- training_config.yaml +212 -0
35000/mp_rank_00_model_states.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:3cd81f7ccd798d940e149d812e94f422df9e3de96ae833a10988c2edd14052bb
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size 23436481678
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latest
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35000
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model_config.json
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{
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"model_class": "SATVideoDiffusionEngine",
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"model_parallel_size": 1
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}
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training_config.yaml
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model:
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scale_factor: 1.15258426
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disable_first_stage_autocast: true
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log_keys:
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- txt
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denoiser_config:
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target: sgm.modules.diffusionmodules.denoiser.DiscreteDenoiser
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params:
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num_idx: 1000
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quantize_c_noise: false
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weighting_config:
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target: sgm.modules.diffusionmodules.denoiser_weighting.EpsWeighting
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scaling_config:
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target: sgm.modules.diffusionmodules.denoiser_scaling.VideoScaling
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discretization_config:
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target: sgm.modules.diffusionmodules.discretizer.ZeroSNRDDPMDiscretization
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params:
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shift_scale: 3.0
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network_config:
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target: dit_video_concat.DiffusionTransformer
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params:
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time_embed_dim: 512
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elementwise_affine: true
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num_frames: 49
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time_compressed_rate: 4
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latent_width: 90
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latent_height: 60
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num_layers: 30
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patch_size: 2
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in_channels: 16
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out_channels: 16
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hidden_size: 1920
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adm_in_channels: 256
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num_attention_heads: 30
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transformer_args:
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checkpoint_activations: true
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vocab_size: 1
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max_sequence_length: 64
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layernorm_order: pre
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skip_init: false
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model_parallel_size: 1
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is_decoder: false
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modules:
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pos_embed_config:
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target: dit_video_concat.Basic3DPositionEmbeddingMixin
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params:
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text_length: 226
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height_interpolation: 1.875
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width_interpolation: 1.875
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patch_embed_config:
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target: dit_video_concat.ImagePatchEmbeddingMixin
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params:
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text_hidden_size: 4096
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adaln_layer_config:
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target: dit_video_concat.AdaLNMixin
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params:
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qk_ln: true
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final_layer_config:
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target: dit_video_concat.FinalLayerMixin
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conditioner_config:
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target: sgm.modules.GeneralConditioner
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params:
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emb_models:
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- is_trainable: false
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input_key: txt
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ucg_rate: 0.1
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target: sgm.modules.encoders.modules.FrozenT5Embedder
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params:
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model_dir: /mnt/lustre/sichenyang.p/code/vla/CogVideo/sat/CogVideoX-2b-sat/t5-v1_1-xxl
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max_length: 226
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first_stage_config:
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target: vae_modules.autoencoder.VideoAutoencoderInferenceWrapper
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params:
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cp_size: 1
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ckpt_path: /mnt/lustre/sichenyang.p/code/vla/CogVideo/sat/CogVideoX-2b-sat/vae/3d-vae.pt
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ignore_keys:
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- loss
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loss_config:
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target: torch.nn.Identity
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regularizer_config:
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target: vae_modules.regularizers.DiagonalGaussianRegularizer
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encoder_config:
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target: vae_modules.cp_enc_dec.ContextParallelEncoder3D
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params:
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double_z: true
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z_channels: 16
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resolution: 256
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in_channels: 3
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out_ch: 3
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ch: 128
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ch_mult:
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- 1
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- 2
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- 2
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- 4
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attn_resolutions: []
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num_res_blocks: 3
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dropout: 0.0
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gather_norm: true
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decoder_config:
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target: vae_modules.cp_enc_dec.ContextParallelDecoder3D
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params:
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double_z: true
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z_channels: 16
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resolution: 256
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in_channels: 3
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out_ch: 3
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ch: 128
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ch_mult:
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- 1
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- 2
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- 2
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- 4
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| 114 |
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attn_resolutions: []
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| 115 |
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num_res_blocks: 3
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| 116 |
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dropout: 0.0
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| 117 |
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gather_norm: false
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| 118 |
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loss_fn_config:
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target: sgm.modules.diffusionmodules.loss.VideoDiffusionLoss
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params:
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offset_noise_level: 0
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sigma_sampler_config:
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target: sgm.modules.diffusionmodules.sigma_sampling.DiscreteSampling
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params:
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uniform_sampling: true
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| 126 |
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num_idx: 1000
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| 127 |
+
discretization_config:
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| 128 |
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target: sgm.modules.diffusionmodules.discretizer.ZeroSNRDDPMDiscretization
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| 129 |
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params:
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| 130 |
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shift_scale: 3.0
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| 131 |
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sampler_config:
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target: sgm.modules.diffusionmodules.sampling.VPSDEDPMPP2MSampler
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| 133 |
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params:
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| 134 |
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num_steps: 50
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| 135 |
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verbose: true
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| 136 |
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discretization_config:
|
| 137 |
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target: sgm.modules.diffusionmodules.discretizer.ZeroSNRDDPMDiscretization
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| 138 |
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params:
|
| 139 |
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shift_scale: 3.0
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| 140 |
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guider_config:
|
| 141 |
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target: sgm.modules.diffusionmodules.guiders.DynamicCFG
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| 142 |
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params:
|
| 143 |
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scale: 6
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| 144 |
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exp: 5
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| 145 |
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num_steps: 50
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| 146 |
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args:
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| 147 |
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checkpoint_activations: true
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| 148 |
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model_parallel_size: 1
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| 149 |
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experiment_name: dense_exp_6layer_gating_0.00002lr_all_continue
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| 150 |
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mode: finetune
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| 151 |
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load: /mnt/petrelfs/sichenyang.p/code/vla/CogVideo/sat_scy/ckpts_2b_lora/dense_exp_6layer_gating_0.00002lr_all_continue-09-20-12-08
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| 152 |
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no_load_rng: true
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| 153 |
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train_iters: 100000
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| 154 |
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eval_iters: 1
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eval_interval: 100
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| 156 |
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eval_batch_size: 1
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| 157 |
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save: ckpts_2b_lora
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| 158 |
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save_interval: 1000
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| 159 |
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log_interval: 20
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| 160 |
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train_data:
|
| 161 |
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- /mnt/petrelfs/sichenyang.p/code/video_project/assets/data/mix_high_quality/vimeo+youtube+vecteezy+gen3.json
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| 162 |
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valid_data:
|
| 163 |
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- /mnt/lustre/sichenyang.p/code/SD3_Vid/dataset_collection/data/gen3/all.json
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| 164 |
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split: 1,0,0
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| 165 |
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num_workers: 8
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| 166 |
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force_train: true
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| 167 |
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only_log_video_latents: true
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| 168 |
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data:
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| 169 |
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target: data_video.PetrelDataset
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| 170 |
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params:
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| 171 |
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video_size:
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| 172 |
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- 480
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| 173 |
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- 720
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| 174 |
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fps: 8
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| 175 |
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max_num_frames: 49
|
| 176 |
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skip_frms_num: 3.0
|
| 177 |
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deepspeed:
|
| 178 |
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train_micro_batch_size_per_gpu: 2
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| 179 |
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gradient_accumulation_steps: 1
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| 180 |
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steps_per_print: 50
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| 181 |
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gradient_clipping: 0.1
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| 182 |
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zero_optimization:
|
| 183 |
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stage: 2
|
| 184 |
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cpu_offload: false
|
| 185 |
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contiguous_gradients: false
|
| 186 |
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overlap_comm: true
|
| 187 |
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reduce_scatter: true
|
| 188 |
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reduce_bucket_size: 1000000000
|
| 189 |
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allgather_bucket_size: 1000000000
|
| 190 |
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load_from_fp32_weights: false
|
| 191 |
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zero_allow_untested_optimizer: true
|
| 192 |
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bf16:
|
| 193 |
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enabled: false
|
| 194 |
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fp16:
|
| 195 |
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enabled: true
|
| 196 |
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loss_scale: 0
|
| 197 |
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loss_scale_window: 400
|
| 198 |
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hysteresis: 2
|
| 199 |
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min_loss_scale: 1
|
| 200 |
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optimizer:
|
| 201 |
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type: sat.ops.FusedEmaAdam
|
| 202 |
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params:
|
| 203 |
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lr: 2.0e-05
|
| 204 |
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betas:
|
| 205 |
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- 0.9
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| 206 |
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- 0.95
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| 207 |
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eps: 1.0e-08
|
| 208 |
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weight_decay: 0.0001
|
| 209 |
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activation_checkpointing:
|
| 210 |
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partition_activations: false
|
| 211 |
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contiguous_memory_optimization: false
|
| 212 |
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wall_clock_breakdown: false
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