Upload training_config.yaml with huggingface_hub
Browse files- training_config.yaml +95 -0
training_config.yaml
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acceleration:
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load_text_encoder_in_8bit: false
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mixed_precision_mode: bf16
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offload_optimizer_during_validation: false
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quantization: null
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checkpoints:
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interval: 250
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keep_last_n: -1
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no_resume: false
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precision: bfloat16
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save_training_state: minimal
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data:
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num_dataloader_workers: 2
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preprocessed_data_root: /workspace/LTX-2/packages/ltx-trainer/.precomputed
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flow_matching:
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timestep_sampling_mode: shifted_logit_normal
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timestep_sampling_params: {}
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hub:
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hub_model_id: null
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push_to_hub: false
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lora:
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alpha: 32
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dropout: 0.0
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rank: 32
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target_modules:
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- to_k
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- to_q
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- to_v
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- to_out.0
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model:
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load_checkpoint: null
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model_path: /workspace/ComfyUI/models/checkpoints/ltx-2.3-22b-dev.safetensors
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text_encoder_path: /workspace/gemma-3-12b-it
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training_mode: lora
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optimization:
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batch_size: 1
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enable_gradient_checkpointing: true
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gradient_accumulation_steps: 1
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learning_rate: 0.0001
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max_grad_norm: 1.0
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optimizer_type: adamw
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scheduler_params: {}
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scheduler_type: linear
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steps: 3000
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output_dir: /workspace/LTX-2/packages/ltx-trainer/outputs/sultrywmn_v1
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seed: 42
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training_strategy:
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audio:
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conditions: []
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is_generated: true
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latents_dir: audio_latents
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name: flexible
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video:
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conditions: []
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is_generated: true
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latents_dir: latents
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validation:
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frame_rate: 30.0
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generate_audio: true
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generate_video: true
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guidance_scale: 4.0
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images: null
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include_reference_in_output: false
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inference_steps: 30
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interval: 250
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negative_prompt: worst quality, inconsistent motion, blurry, jittery, distorted
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prompts: []
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reference_downscale_factor: 1
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reference_videos: null
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samples:
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- conditions: []
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prompt: sultrywmn, in a char, she says "hey, just wanted to check in and see how
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your day is going so far"
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seed: null
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video_dims: null
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seed: 42
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skip_initial_validation: false
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stg_blocks:
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- 29
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stg_mode: stg_av
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stg_scale: 1.0
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video_dims: !!python/tuple
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- 480
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- 864
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- 121
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wandb:
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enabled: false
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entity: null
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log_validation_videos: true
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project: ltx-2-trainer
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tags:
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- ltx2
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- lora
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- t2v
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- sultrywmn
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