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- config.toml +49 -0
- epoch10/adapter_config.json +43 -0
- epoch10/config.toml +49 -0
- epoch5/adapter_config.json +43 -0
- epoch5/config.toml +49 -0
- events.out.tfevents.1736781782.a3f2ec4cbd97.3820.0 +3 -0
- global_step208/layer_00-model_states.pt +3 -0
- global_step208/layer_01-model_states.pt +3 -0
- global_step208/layer_02-model_states.pt +3 -0
- global_step208/layer_03-model_states.pt +3 -0
- global_step208/layer_04-model_states.pt +3 -0
- global_step208/layer_05-model_states.pt +3 -0
- global_step208/layer_06-model_states.pt +3 -0
- global_step208/layer_07-model_states.pt +3 -0
- global_step208/layer_08-model_states.pt +3 -0
- global_step208/layer_09-model_states.pt +3 -0
- global_step208/layer_10-model_states.pt +3 -0
- global_step208/layer_11-model_states.pt +3 -0
- global_step208/layer_12-model_states.pt +3 -0
- global_step208/layer_13-model_states.pt +3 -0
- global_step208/layer_14-model_states.pt +3 -0
- global_step208/layer_15-model_states.pt +3 -0
- global_step208/layer_16-model_states.pt +3 -0
- global_step208/layer_17-model_states.pt +3 -0
- global_step208/layer_18-model_states.pt +3 -0
- global_step208/layer_19-model_states.pt +3 -0
- global_step208/layer_20-model_states.pt +3 -0
- global_step208/layer_22-model_states.pt +3 -0
- global_step208/layer_23-model_states.pt +3 -0
- global_step208/layer_24-model_states.pt +3 -0
- global_step208/layer_25-model_states.pt +3 -0
- global_step208/layer_26-model_states.pt +3 -0
- global_step208/layer_27-model_states.pt +3 -0
- global_step208/layer_28-model_states.pt +3 -0
- global_step208/layer_29-model_states.pt +3 -0
- global_step208/layer_30-model_states.pt +3 -0
- global_step208/layer_31-model_states.pt +3 -0
- global_step208/layer_32-model_states.pt +3 -0
- global_step208/layer_33-model_states.pt +3 -0
- global_step208/layer_34-model_states.pt +3 -0
- global_step208/layer_35-model_states.pt +3 -0
- global_step208/layer_36-model_states.pt +3 -0
- global_step208/layer_37-model_states.pt +3 -0
- global_step208/layer_38-model_states.pt +3 -0
- global_step208/layer_39-model_states.pt +3 -0
- global_step208/layer_40-model_states.pt +3 -0
- global_step208/layer_41-model_states.pt +3 -0
- global_step208/layer_42-model_states.pt +3 -0
- global_step208/layer_43-model_states.pt +3 -0
- global_step208/layer_44-model_states.pt +3 -0
config.toml
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# Dataset config file.
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output_dir = '/workspace/training_output'
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dataset = 'dataset.toml'
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# Training settings
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epochs = 50
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micro_batch_size_per_gpu = 1
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pipeline_stages = 1
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gradient_accumulation_steps = 4
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gradient_clipping = 1.0
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warmup_steps = 100
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# eval settings
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eval_every_n_epochs = 5
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eval_before_first_step = true
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eval_micro_batch_size_per_gpu = 1
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eval_gradient_accumulation_steps = 1
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# misc settings
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save_every_n_epochs = 5
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checkpoint_every_n_minutes = 30
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activation_checkpointing = true
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partition_method = 'parameters'
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save_dtype = 'bfloat16'
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caching_batch_size = 1
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steps_per_print = 1
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video_clip_mode = 'single_middle'
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[model]
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type = 'hunyuan-video'
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transformer_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors'
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vae_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_vae_bf16.safetensors'
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llm_path = '/workspace/diffusion-pipe/models/llm'
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clip_path = '/workspace/diffusion-pipe/models/clip'
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dtype = 'bfloat16'
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transformer_dtype = 'float8'
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timestep_sample_method = 'logit_normal'
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[adapter]
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type = 'lora'
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rank = 64
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dtype = 'bfloat16'
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[optimizer]
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type = 'adamw_optimi'
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lr = 5e-5
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betas = [0.9, 0.99]
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weight_decay = 0.02
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eps = 1e-8
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epoch10/adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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"bias": "none",
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": false,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 64,
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"lora_bias": false,
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"lora_dropout": 0.0,
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"megatron_config": null,
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"megatron_core": "megatron.core",
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"modules_to_save": null,
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"peft_type": "LORA",
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"r": 64,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"modulation.linear",
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"txt_attn_proj",
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"img_mod.linear",
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"txt_mlp.fc2",
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"img_mlp.fc1",
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"img_attn_proj",
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"txt_mod.linear",
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"txt_mlp.fc1",
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"linear2",
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"img_mlp.fc2",
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"img_attn_qkv",
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"txt_attn_qkv",
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"linear1"
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],
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"task_type": null,
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"use_dora": false,
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"use_rslora": false
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}
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epoch10/config.toml
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# Dataset config file.
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2 |
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output_dir = '/workspace/training_output'
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dataset = 'dataset.toml'
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# Training settings
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epochs = 50
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micro_batch_size_per_gpu = 1
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pipeline_stages = 1
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gradient_accumulation_steps = 4
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gradient_clipping = 1.0
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warmup_steps = 100
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# eval settings
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eval_every_n_epochs = 5
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eval_before_first_step = true
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eval_micro_batch_size_per_gpu = 1
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eval_gradient_accumulation_steps = 1
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# misc settings
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save_every_n_epochs = 5
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checkpoint_every_n_minutes = 30
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activation_checkpointing = true
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partition_method = 'parameters'
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save_dtype = 'bfloat16'
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caching_batch_size = 1
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steps_per_print = 1
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video_clip_mode = 'single_middle'
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[model]
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type = 'hunyuan-video'
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31 |
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transformer_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors'
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32 |
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vae_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_vae_bf16.safetensors'
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llm_path = '/workspace/diffusion-pipe/models/llm'
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clip_path = '/workspace/diffusion-pipe/models/clip'
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dtype = 'bfloat16'
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36 |
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transformer_dtype = 'float8'
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37 |
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timestep_sample_method = 'logit_normal'
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38 |
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39 |
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[adapter]
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40 |
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type = 'lora'
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rank = 64
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42 |
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dtype = 'bfloat16'
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[optimizer]
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45 |
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type = 'adamw_optimi'
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46 |
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lr = 5e-5
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betas = [0.9, 0.99]
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weight_decay = 0.02
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eps = 1e-8
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epoch5/adapter_config.json
ADDED
@@ -0,0 +1,43 @@
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": null,
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5 |
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"bias": "none",
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6 |
+
"eva_config": null,
|
7 |
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"exclude_modules": null,
|
8 |
+
"fan_in_fan_out": false,
|
9 |
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"inference_mode": false,
|
10 |
+
"init_lora_weights": true,
|
11 |
+
"layer_replication": null,
|
12 |
+
"layers_pattern": null,
|
13 |
+
"layers_to_transform": null,
|
14 |
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"loftq_config": {},
|
15 |
+
"lora_alpha": 64,
|
16 |
+
"lora_bias": false,
|
17 |
+
"lora_dropout": 0.0,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 64,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"modulation.linear",
|
27 |
+
"txt_attn_proj",
|
28 |
+
"img_mod.linear",
|
29 |
+
"txt_mlp.fc2",
|
30 |
+
"img_mlp.fc1",
|
31 |
+
"img_attn_proj",
|
32 |
+
"txt_mod.linear",
|
33 |
+
"txt_mlp.fc1",
|
34 |
+
"linear2",
|
35 |
+
"img_mlp.fc2",
|
36 |
+
"img_attn_qkv",
|
37 |
+
"txt_attn_qkv",
|
38 |
+
"linear1"
|
39 |
+
],
|
40 |
+
"task_type": null,
|
41 |
+
"use_dora": false,
|
42 |
+
"use_rslora": false
|
43 |
+
}
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epoch5/config.toml
ADDED
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# Dataset config file.
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2 |
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output_dir = '/workspace/training_output'
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3 |
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dataset = 'dataset.toml'
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4 |
+
|
5 |
+
# Training settings
|
6 |
+
epochs = 50
|
7 |
+
micro_batch_size_per_gpu = 1
|
8 |
+
pipeline_stages = 1
|
9 |
+
gradient_accumulation_steps = 4
|
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gradient_clipping = 1.0
|
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warmup_steps = 100
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+
|
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# eval settings
|
14 |
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eval_every_n_epochs = 5
|
15 |
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eval_before_first_step = true
|
16 |
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eval_micro_batch_size_per_gpu = 1
|
17 |
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eval_gradient_accumulation_steps = 1
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+
|
19 |
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# misc settings
|
20 |
+
save_every_n_epochs = 5
|
21 |
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checkpoint_every_n_minutes = 30
|
22 |
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activation_checkpointing = true
|
23 |
+
partition_method = 'parameters'
|
24 |
+
save_dtype = 'bfloat16'
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25 |
+
caching_batch_size = 1
|
26 |
+
steps_per_print = 1
|
27 |
+
video_clip_mode = 'single_middle'
|
28 |
+
|
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+
[model]
|
30 |
+
type = 'hunyuan-video'
|
31 |
+
transformer_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_720_cfgdistill_fp8_e4m3fn.safetensors'
|
32 |
+
vae_path = '/workspace/diffusion-pipe/models/hunyuan/hunyuan_video_vae_bf16.safetensors'
|
33 |
+
llm_path = '/workspace/diffusion-pipe/models/llm'
|
34 |
+
clip_path = '/workspace/diffusion-pipe/models/clip'
|
35 |
+
dtype = 'bfloat16'
|
36 |
+
transformer_dtype = 'float8'
|
37 |
+
timestep_sample_method = 'logit_normal'
|
38 |
+
|
39 |
+
[adapter]
|
40 |
+
type = 'lora'
|
41 |
+
rank = 64
|
42 |
+
dtype = 'bfloat16'
|
43 |
+
|
44 |
+
[optimizer]
|
45 |
+
type = 'adamw_optimi'
|
46 |
+
lr = 5e-5
|
47 |
+
betas = [0.9, 0.99]
|
48 |
+
weight_decay = 0.02
|
49 |
+
eps = 1e-8
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events.out.tfevents.1736781782.a3f2ec4cbd97.3820.0
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:97a65b4df45385f9044f77f1be3645436363af779273ed9b5355eff52b020812
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+
size 61461
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global_step208/layer_00-model_states.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:6c682c9cc8e731c37498845f3a980635b04094468e55e77553c7a12ccff998f5
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size 920
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global_step208/layer_01-model_states.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8eb07645ffdc0836008d1f7b175f9cc29eac95f4097df9f5349a085d81dc94cd
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size 18095082
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global_step208/layer_02-model_states.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:501512bbb798b1f358aa68660d99ff7c4532ee9db5220cf693ea7b481846b7e5
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size 18095082
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global_step208/layer_03-model_states.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:a00a61b0e8d2ceb88a3db60838c386b9a0bc7ca0dad1890b6d09cd6e1332fd3e
|
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size 18095082
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global_step208/layer_04-model_states.pt
ADDED
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