Upload 40 files to dualffn_attnlora/
Browse files- dualffn_attnlora/config.txt +233 -0
- dualffn_attnlora/epoch000-global_step4500/lora/README.md +201 -0
- dualffn_attnlora/epoch000-global_step4500/lora/adapter_config.json +38 -0
- dualffn_attnlora/epoch000-global_step4500/lora/adapter_model.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/lr_scheduler +0 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00001.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00002.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00003.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00004.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00005.bin +3 -0
- dualffn_attnlora/epoch000-global_step4500/model/pytorch_model.bin.index.json +1469 -0
- dualffn_attnlora/epoch000-global_step4500/running_states.json +6 -0
- dualffn_attnlora/epoch000-global_step4500/sampler +0 -0
- dualffn_attnlora/epoch001-global_step16000/lora/README.md +201 -0
- dualffn_attnlora/epoch001-global_step16000/lora/adapter_config.json +38 -0
- dualffn_attnlora/epoch001-global_step16000/lora/adapter_model.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/lr_scheduler +0 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model-00001.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model-00002.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model-00003.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model-00004.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model-00005.bin +3 -0
- dualffn_attnlora/epoch001-global_step16000/model/pytorch_model.bin.index.json +1469 -0
- dualffn_attnlora/epoch001-global_step16000/running_states.json +6 -0
- dualffn_attnlora/epoch001-global_step16000/sampler +0 -0
- dualffn_attnlora/epoch001-global_step21000/lora/README.md +201 -0
- dualffn_attnlora/epoch001-global_step21000/lora/adapter_config.json +38 -0
- dualffn_attnlora/epoch001-global_step21000/lora/adapter_model.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/lr_scheduler +0 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00001.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00002.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00003.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00004.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00005.bin +3 -0
- dualffn_attnlora/epoch001-global_step21000/model/pytorch_model.bin.index.json +1469 -0
- dualffn_attnlora/epoch001-global_step21000/running_states.json +6 -0
- dualffn_attnlora/epoch001-global_step21000/sampler +0 -0
- dualffn_attnlora/log.txt +0 -0
- dualffn_attnlora/tensorboard/events.out.tfevents.1755194708.361b65dc6631.2576728.0 +3 -0
- dualffn_attnlora/tensorboard/events.out.tfevents.1755267800.361b65dc6631.701156.0 +3 -0
dualffn_attnlora/config.txt
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{
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"dataset": {
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"type": "VariableVideoAudioTextDataset",
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"direct_load_video_cli": true,
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"transform_name": "resize_crop",
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"audio_transform_name": "mel_spec_audioldm2",
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"default_video_fps": 16,
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"scale_factor": 16,
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"use_audio_in_video": true,
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"data_path": "debug/meta/TAVGBench_train_140k.csv"
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},
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"load_text_features": false,
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"bucket_config": {
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"240p": {
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"33": [
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[
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"49": [
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"65": [
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[
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0.3
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"81": [
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[
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0.2
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"360p": {
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"33": [
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[
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"49": [
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"65": [
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[
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"81": [
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},
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"480p": {
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"33": [
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"49": [
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"65": [
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"81": [
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[
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3
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}
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},
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"grad_checkpoint": true,
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"num_workers": 16,
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| 107 |
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"num_bucket_build_workers": 8,
|
| 108 |
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"dtype": "bf16",
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| 109 |
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"plugin": "zero2",
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| 110 |
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"video_weight_path": "./checkpoints/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors",
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| 111 |
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"audio_weight_path": "exps/audio/dual_ffn_no_attnlora/epoch017-global_step75000",
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| 112 |
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"model": {
|
| 113 |
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"type": "Wan2_1_T2V_1_3B",
|
| 114 |
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"weight_init_from": [
|
| 115 |
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"./checkpoints/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors",
|
| 116 |
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"exps/audio/dual_ffn_no_attnlora/epoch017-global_step75000"
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],
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"model_type": "t2av",
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"patch_size": [
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1,
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| 121 |
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| 122 |
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|
| 123 |
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],
|
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"dim": 1536,
|
| 125 |
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"ffn_dim": 8960,
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| 126 |
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"freq_dim": 256,
|
| 127 |
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"num_heads": 12,
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| 128 |
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"num_layers": 30,
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| 129 |
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"window_size": [
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-1,
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| 131 |
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-1
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| 132 |
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],
|
| 133 |
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"qk_norm": true,
|
| 134 |
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"cross_attn_norm": true,
|
| 135 |
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"audio_patch_size": [
|
| 136 |
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2,
|
| 137 |
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2
|
| 138 |
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],
|
| 139 |
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"audio_in_dim": 8,
|
| 140 |
+
"audio_out_dim": 8,
|
| 141 |
+
"audio_special_token": false,
|
| 142 |
+
"train_audio_specific_blocks": false,
|
| 143 |
+
"dual_ffn": true,
|
| 144 |
+
"init_from_video_branch": false,
|
| 145 |
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"class_drop_prob": 0.1
|
| 146 |
+
},
|
| 147 |
+
"vae": {
|
| 148 |
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"type": "Wan2_1_T2V_1_3B_VAE",
|
| 149 |
+
"from_pretrained": "./checkpoints/Wan2.1-T2V-1.3B",
|
| 150 |
+
"vae_checkpoint": "Wan2.1_VAE.pth",
|
| 151 |
+
"vae_stride": [
|
| 152 |
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4,
|
| 153 |
+
8,
|
| 154 |
+
8
|
| 155 |
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]
|
| 156 |
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},
|
| 157 |
+
"audio_vae": {
|
| 158 |
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"type": "AudioLDM2",
|
| 159 |
+
"from_pretrained": "./checkpoints/audioldm2"
|
| 160 |
+
},
|
| 161 |
+
"text_encoder": {
|
| 162 |
+
"type": "Wan2_1_T2V_1_3B_t5_umt5",
|
| 163 |
+
"from_pretrained": "./checkpoints/Wan2.1-T2V-1.3B",
|
| 164 |
+
"t5_checkpoint": "models_t5_umt5-xxl-enc-bf16.pth",
|
| 165 |
+
"t5_tokenizer": "google/umt5-xxl",
|
| 166 |
+
"text_len": 512
|
| 167 |
+
},
|
| 168 |
+
"scheduler": {
|
| 169 |
+
"type": "rflow",
|
| 170 |
+
"use_timestep_transform": true,
|
| 171 |
+
"num_sampling_steps": 50,
|
| 172 |
+
"transform_scale": 5.0
|
| 173 |
+
},
|
| 174 |
+
"aes": null,
|
| 175 |
+
"flow": null,
|
| 176 |
+
"neg_prompt": "\u8272\u8c03\u8273\u4e3d\uff0c\u8fc7\u66dd\uff0c\u9759\u6001\uff0c\u7ec6\u8282\u6a21\u7cca\u4e0d\u6e05\uff0c\u5b57\u5e55\uff0c\u98ce\u683c\uff0c\u4f5c\u54c1\uff0c\u753b\u4f5c\uff0c\u753b\u9762\uff0c\u9759\u6b62\uff0c\u6574\u4f53\u53d1\u7070\uff0c\u6700\u5dee\u8d28\u91cf\uff0c\u4f4e\u8d28\u91cf\uff0cJPEG\u538b\u7f29\u6b8b\u7559\uff0c\u4e11\u964b\u7684\uff0c\u6b8b\u7f3a\u7684\uff0c\u591a\u4f59\u7684\u624b\u6307\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u624b\u90e8\uff0c\u753b\u5f97\u4e0d\u597d\u7684\u8138\u90e8\uff0c\u7578\u5f62\u7684\uff0c\u6bc1\u5bb9\u7684\uff0c\u5f62\u6001\u7578\u5f62\u7684\u80a2\u4f53\uff0c\u624b\u6307\u878d\u5408\uff0c\u9759\u6b62\u4e0d\u52a8\u7684\u753b\u9762\uff0c\u6742\u4e71\u7684\u80cc\u666f\uff0c\u4e09\u6761\u817f\uff0c\u80cc\u666f\u4eba\u5f88\u591a\uff0c\u5012\u7740\u8d70\uff0c\u4f4e\u97f3\u8d28\uff0c\u5dee\u97f3\u8d28\uff0c\u6700\u5dee\u97f3\u8d28\uff0c\u566a\u97f3\uff0c\u5931\u771f\u7684\uff0c\u7834\u97f3\uff0c\u524a\u6ce2\u5931\u771f\uff0c\u6570\u5b57\u7455\u75b5\uff0c\u58f0\u97f3\u6545\u969c\uff0c\u4e0d\u81ea\u7136\u7684\uff0c\u523a\u8033\u7684\uff0c\u5c16\u9510\u7684\uff0c\u5e95\u566a\uff0c\u8fc7\u591a\u6df7\u54cd\uff0c\u8fc7\u591a\u56de\u58f0\uff0c\u7a81\u5140\u7684\u526a\u8f91\uff0c\u4e0d\u81ea\u7136\u7684\u6de1\u51fa\uff0c\u5f55\u97f3\u8d28\u91cf\u5dee\uff0c\u4e1a\u4f59\u5f55\u97f3",
|
| 177 |
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"lora_enabled": true,
|
| 178 |
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"lora_r": 128,
|
| 179 |
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"lora_alpha": 256,
|
| 180 |
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"lora_target_modules": [
|
| 181 |
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"self_attn.q",
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| 182 |
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"self_attn.k",
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| 183 |
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"self_attn.v",
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| 184 |
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"self_attn.o",
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| 185 |
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"cross_attn.q",
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| 186 |
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"cross_attn.k",
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| 187 |
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"cross_attn.v",
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| 188 |
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"cross_attn.o"
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| 189 |
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],
|
| 190 |
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"lora_dropout": 0,
|
| 191 |
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"seed": 42,
|
| 192 |
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"outputs": "./outputs/audio_video",
|
| 193 |
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"wandb": false,
|
| 194 |
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"epochs": 10,
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| 195 |
+
"log_every": 10,
|
| 196 |
+
"ckpt_every": 250,
|
| 197 |
+
"save_total_limit": 2,
|
| 198 |
+
"load": null,
|
| 199 |
+
"grad_clip": 1.0,
|
| 200 |
+
"lr": 0.0001,
|
| 201 |
+
"ema_decay": 0.99,
|
| 202 |
+
"adam_eps": 1e-15,
|
| 203 |
+
"warmup_steps": 1000,
|
| 204 |
+
"sampling_rate": 16000,
|
| 205 |
+
"mel_bins": 64,
|
| 206 |
+
"audio_cfg": {
|
| 207 |
+
"preprocessing": {
|
| 208 |
+
"audio": {
|
| 209 |
+
"sampling_rate": 16000,
|
| 210 |
+
"max_wav_value": 32768.0,
|
| 211 |
+
"duration": 10.24,
|
| 212 |
+
"scale_factor": 8
|
| 213 |
+
},
|
| 214 |
+
"stft": {
|
| 215 |
+
"filter_length": 1024,
|
| 216 |
+
"hop_length": 160,
|
| 217 |
+
"win_length": 1024
|
| 218 |
+
},
|
| 219 |
+
"mel": {
|
| 220 |
+
"n_mel_channels": 64,
|
| 221 |
+
"mel_fmin": 0,
|
| 222 |
+
"mel_fmax": 8000
|
| 223 |
+
}
|
| 224 |
+
},
|
| 225 |
+
"augmentation": {
|
| 226 |
+
"mixup": 0.0
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"config": "configs/wan2.1/train/stage2_audio_video.py",
|
| 230 |
+
"start_from_scratch": false,
|
| 231 |
+
"record_time": false,
|
| 232 |
+
"port": 29500
|
| 233 |
+
}
|
dualffn_attnlora/epoch000-global_step4500/lora/README.md
ADDED
|
@@ -0,0 +1,201 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
### Framework versions
|
| 200 |
+
|
| 201 |
+
- PEFT 0.12.0
|
dualffn_attnlora/epoch000-global_step4500/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "WanModel",
|
| 5 |
+
"parent_library": "javisdit.models.wan.modules.model"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 256,
|
| 17 |
+
"lora_dropout": 0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"cross_attn.o",
|
| 27 |
+
"cross_attn.v",
|
| 28 |
+
"self_attn.q",
|
| 29 |
+
"cross_attn.q",
|
| 30 |
+
"self_attn.v",
|
| 31 |
+
"cross_attn.k",
|
| 32 |
+
"self_attn.k",
|
| 33 |
+
"self_attn.o"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
dualffn_attnlora/epoch000-global_step4500/lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5660dada895f7e8375b1f3384953fdc9057f351e2e48a22d9288ecfc717a47b2
|
| 3 |
+
size 188906250
|
dualffn_attnlora/epoch000-global_step4500/lr_scheduler
ADDED
|
Binary file (1.01 kB). View file
|
|
|
dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00001.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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size 1063199704
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dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00002.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:0cda6556a1bdd2ee31970e0e326f8f12ccefd563f4b2b119825318af3b96d825
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size 1052337966
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dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00003.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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size 1073578482
|
dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00004.bin
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:93503a5e27eae09d5b4ead072d53a47014369bbc571c3e368ccfe83becfe1be7
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| 3 |
+
size 1069650054
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dualffn_attnlora/epoch000-global_step4500/model/pytorch_model-00005.bin
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3fbba2e178ac45fa4cf776425591d31eb3f9bfef886217e07161ff99635338a6
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| 3 |
+
size 435227208
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dualffn_attnlora/epoch000-global_step4500/model/pytorch_model.bin.index.json
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@@ -0,0 +1,1469 @@
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| 1 |
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{
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| 2 |
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| 3 |
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"blocks.29.self_attn.q.bias": "pytorch_model-00005.bin",
|
| 1423 |
+
"blocks.29.self_attn.q.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1424 |
+
"blocks.29.self_attn.q.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1425 |
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"blocks.29.self_attn.k.weight": "pytorch_model-00005.bin",
|
| 1426 |
+
"blocks.29.self_attn.k.bias": "pytorch_model-00005.bin",
|
| 1427 |
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"blocks.29.self_attn.k.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1428 |
+
"blocks.29.self_attn.k.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1429 |
+
"blocks.29.self_attn.v.weight": "pytorch_model-00005.bin",
|
| 1430 |
+
"blocks.29.self_attn.v.bias": "pytorch_model-00005.bin",
|
| 1431 |
+
"blocks.29.self_attn.v.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1432 |
+
"blocks.29.self_attn.v.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1433 |
+
"blocks.29.self_attn.o.weight": "pytorch_model-00005.bin",
|
| 1434 |
+
"blocks.29.self_attn.o.bias": "pytorch_model-00005.bin",
|
| 1435 |
+
"blocks.29.self_attn.o.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1436 |
+
"blocks.29.self_attn.o.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1437 |
+
"blocks.29.self_attn.norm_q.weight": "pytorch_model-00005.bin",
|
| 1438 |
+
"blocks.29.self_attn.norm_k.weight": "pytorch_model-00005.bin",
|
| 1439 |
+
"blocks.29.norm3.weight": "pytorch_model-00005.bin",
|
| 1440 |
+
"blocks.29.norm3.bias": "pytorch_model-00005.bin",
|
| 1441 |
+
"blocks.29.cross_attn.q.weight": "pytorch_model-00005.bin",
|
| 1442 |
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"blocks.29.cross_attn.q.bias": "pytorch_model-00005.bin",
|
| 1443 |
+
"blocks.29.cross_attn.q.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1444 |
+
"blocks.29.cross_attn.q.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1445 |
+
"blocks.29.cross_attn.k.weight": "pytorch_model-00005.bin",
|
| 1446 |
+
"blocks.29.cross_attn.k.bias": "pytorch_model-00005.bin",
|
| 1447 |
+
"blocks.29.cross_attn.k.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1448 |
+
"blocks.29.cross_attn.k.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1449 |
+
"blocks.29.cross_attn.v.weight": "pytorch_model-00005.bin",
|
| 1450 |
+
"blocks.29.cross_attn.v.bias": "pytorch_model-00005.bin",
|
| 1451 |
+
"blocks.29.cross_attn.v.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1452 |
+
"blocks.29.cross_attn.v.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1453 |
+
"blocks.29.cross_attn.o.weight": "pytorch_model-00005.bin",
|
| 1454 |
+
"blocks.29.cross_attn.o.bias": "pytorch_model-00005.bin",
|
| 1455 |
+
"blocks.29.cross_attn.o.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1456 |
+
"blocks.29.cross_attn.o.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1457 |
+
"blocks.29.cross_attn.norm_q.weight": "pytorch_model-00005.bin",
|
| 1458 |
+
"blocks.29.cross_attn.norm_k.weight": "pytorch_model-00005.bin",
|
| 1459 |
+
"blocks.29.ffn.0.weight": "pytorch_model-00005.bin",
|
| 1460 |
+
"blocks.29.ffn.0.bias": "pytorch_model-00005.bin",
|
| 1461 |
+
"blocks.29.ffn.2.weight": "pytorch_model-00005.bin",
|
| 1462 |
+
"blocks.29.ffn.2.bias": "pytorch_model-00005.bin",
|
| 1463 |
+
"blocks.29.audio_ffn.0.weight": "pytorch_model-00005.bin",
|
| 1464 |
+
"blocks.29.audio_ffn.0.bias": "pytorch_model-00005.bin",
|
| 1465 |
+
"blocks.29.audio_ffn.2.weight": "pytorch_model-00005.bin",
|
| 1466 |
+
"blocks.29.audio_ffn.2.bias": "pytorch_model-00005.bin",
|
| 1467 |
+
"blocks.29.audio_modulation.param": "pytorch_model-00005.bin"
|
| 1468 |
+
}
|
| 1469 |
+
}
|
dualffn_attnlora/epoch000-global_step4500/running_states.json
ADDED
|
@@ -0,0 +1,6 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 0,
|
| 3 |
+
"step": 4500,
|
| 4 |
+
"global_step": 4500,
|
| 5 |
+
"batch_size": null
|
| 6 |
+
}
|
dualffn_attnlora/epoch000-global_step4500/sampler
ADDED
|
Binary file (928 Bytes). View file
|
|
|
dualffn_attnlora/epoch001-global_step16000/lora/README.md
ADDED
|
@@ -0,0 +1,201 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
### Framework versions
|
| 200 |
+
|
| 201 |
+
- PEFT 0.12.0
|
dualffn_attnlora/epoch001-global_step16000/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "WanModel",
|
| 5 |
+
"parent_library": "javisdit.models.wan.modules.model"
|
| 6 |
+
},
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|
| 1 |
+
{
|
| 2 |
+
"metadata": {
|
| 3 |
+
"total_size": 4476.091003417969
|
| 4 |
+
},
|
| 5 |
+
"weight_map": {
|
| 6 |
+
"audio_patch_embedding.weight": "pytorch_model-00001.bin",
|
| 7 |
+
"audio_patch_embedding.bias": "pytorch_model-00001.bin",
|
| 8 |
+
"audio_head.modulation": "pytorch_model-00001.bin",
|
| 9 |
+
"audio_head.head.weight": "pytorch_model-00001.bin",
|
| 10 |
+
"audio_head.head.bias": "pytorch_model-00001.bin",
|
| 11 |
+
"patch_embedding.weight": "pytorch_model-00001.bin",
|
| 12 |
+
"patch_embedding.bias": "pytorch_model-00001.bin",
|
| 13 |
+
"head.modulation": "pytorch_model-00001.bin",
|
| 14 |
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"head.head.weight": "pytorch_model-00001.bin",
|
| 15 |
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"head.head.bias": "pytorch_model-00001.bin",
|
| 16 |
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"text_embedding.0.weight": "pytorch_model-00001.bin",
|
| 17 |
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"text_embedding.0.bias": "pytorch_model-00001.bin",
|
| 18 |
+
"text_embedding.2.weight": "pytorch_model-00001.bin",
|
| 19 |
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"text_embedding.2.bias": "pytorch_model-00001.bin",
|
| 20 |
+
"time_embedding.0.weight": "pytorch_model-00001.bin",
|
| 21 |
+
"time_embedding.0.bias": "pytorch_model-00001.bin",
|
| 22 |
+
"time_embedding.2.weight": "pytorch_model-00001.bin",
|
| 23 |
+
"time_embedding.2.bias": "pytorch_model-00001.bin",
|
| 24 |
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"time_projection.1.weight": "pytorch_model-00001.bin",
|
| 25 |
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"time_projection.1.bias": "pytorch_model-00001.bin",
|
| 26 |
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"audio_time_projection.1.weight": "pytorch_model-00001.bin",
|
| 27 |
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"audio_time_projection.1.bias": "pytorch_model-00001.bin",
|
| 28 |
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"blocks.0.modulation": "pytorch_model-00001.bin",
|
| 29 |
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"blocks.0.self_attn.q.weight": "pytorch_model-00001.bin",
|
| 30 |
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"blocks.0.self_attn.q.bias": "pytorch_model-00001.bin",
|
| 31 |
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"blocks.0.self_attn.q.lora_A.default.weight": "pytorch_model-00001.bin",
|
| 32 |
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"blocks.0.self_attn.q.lora_B.default.weight": "pytorch_model-00001.bin",
|
| 33 |
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"blocks.0.self_attn.k.weight": "pytorch_model-00001.bin",
|
| 34 |
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"blocks.0.self_attn.k.bias": "pytorch_model-00001.bin",
|
| 35 |
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"blocks.0.self_attn.k.lora_A.default.weight": "pytorch_model-00001.bin",
|
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| 1393 |
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| 1394 |
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|
| 1395 |
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|
| 1396 |
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|
| 1397 |
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|
| 1398 |
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|
| 1399 |
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|
| 1400 |
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|
| 1401 |
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|
| 1402 |
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|
| 1403 |
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|
| 1404 |
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"blocks.28.cross_attn.v.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1405 |
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|
| 1406 |
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|
| 1407 |
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|
| 1408 |
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|
| 1409 |
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|
| 1419 |
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|
| 1420 |
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|
| 1421 |
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|
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|
| 1424 |
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|
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| 1426 |
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|
| 1427 |
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"blocks.29.self_attn.k.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1428 |
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"blocks.29.self_attn.k.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1429 |
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"blocks.29.self_attn.v.weight": "pytorch_model-00005.bin",
|
| 1430 |
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"blocks.29.self_attn.v.bias": "pytorch_model-00005.bin",
|
| 1431 |
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"blocks.29.self_attn.v.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1432 |
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"blocks.29.self_attn.v.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1433 |
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"blocks.29.self_attn.o.weight": "pytorch_model-00005.bin",
|
| 1434 |
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"blocks.29.self_attn.o.bias": "pytorch_model-00005.bin",
|
| 1435 |
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"blocks.29.self_attn.o.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1436 |
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"blocks.29.self_attn.o.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1437 |
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"blocks.29.self_attn.norm_q.weight": "pytorch_model-00005.bin",
|
| 1438 |
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"blocks.29.self_attn.norm_k.weight": "pytorch_model-00005.bin",
|
| 1439 |
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"blocks.29.norm3.weight": "pytorch_model-00005.bin",
|
| 1440 |
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"blocks.29.norm3.bias": "pytorch_model-00005.bin",
|
| 1441 |
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"blocks.29.cross_attn.q.weight": "pytorch_model-00005.bin",
|
| 1442 |
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"blocks.29.cross_attn.q.bias": "pytorch_model-00005.bin",
|
| 1443 |
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"blocks.29.cross_attn.q.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1444 |
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"blocks.29.cross_attn.q.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1445 |
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"blocks.29.cross_attn.k.weight": "pytorch_model-00005.bin",
|
| 1446 |
+
"blocks.29.cross_attn.k.bias": "pytorch_model-00005.bin",
|
| 1447 |
+
"blocks.29.cross_attn.k.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1448 |
+
"blocks.29.cross_attn.k.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1449 |
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"blocks.29.cross_attn.v.weight": "pytorch_model-00005.bin",
|
| 1450 |
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"blocks.29.cross_attn.v.bias": "pytorch_model-00005.bin",
|
| 1451 |
+
"blocks.29.cross_attn.v.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1452 |
+
"blocks.29.cross_attn.v.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1453 |
+
"blocks.29.cross_attn.o.weight": "pytorch_model-00005.bin",
|
| 1454 |
+
"blocks.29.cross_attn.o.bias": "pytorch_model-00005.bin",
|
| 1455 |
+
"blocks.29.cross_attn.o.lora_A.default.weight": "pytorch_model-00005.bin",
|
| 1456 |
+
"blocks.29.cross_attn.o.lora_B.default.weight": "pytorch_model-00005.bin",
|
| 1457 |
+
"blocks.29.cross_attn.norm_q.weight": "pytorch_model-00005.bin",
|
| 1458 |
+
"blocks.29.cross_attn.norm_k.weight": "pytorch_model-00005.bin",
|
| 1459 |
+
"blocks.29.ffn.0.weight": "pytorch_model-00005.bin",
|
| 1460 |
+
"blocks.29.ffn.0.bias": "pytorch_model-00005.bin",
|
| 1461 |
+
"blocks.29.ffn.2.weight": "pytorch_model-00005.bin",
|
| 1462 |
+
"blocks.29.ffn.2.bias": "pytorch_model-00005.bin",
|
| 1463 |
+
"blocks.29.audio_ffn.0.weight": "pytorch_model-00005.bin",
|
| 1464 |
+
"blocks.29.audio_ffn.0.bias": "pytorch_model-00005.bin",
|
| 1465 |
+
"blocks.29.audio_ffn.2.weight": "pytorch_model-00005.bin",
|
| 1466 |
+
"blocks.29.audio_ffn.2.bias": "pytorch_model-00005.bin",
|
| 1467 |
+
"blocks.29.audio_modulation.param": "pytorch_model-00005.bin"
|
| 1468 |
+
}
|
| 1469 |
+
}
|
dualffn_attnlora/epoch001-global_step16000/running_states.json
ADDED
|
@@ -0,0 +1,6 @@
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 1,
|
| 3 |
+
"step": 5443,
|
| 4 |
+
"global_step": 16000,
|
| 5 |
+
"batch_size": null
|
| 6 |
+
}
|
dualffn_attnlora/epoch001-global_step16000/sampler
ADDED
|
Binary file (928 Bytes). View file
|
|
|
dualffn_attnlora/epoch001-global_step21000/lora/README.md
ADDED
|
@@ -0,0 +1,201 @@
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|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
|
| 5 |
+
# Model Card for Model ID
|
| 6 |
+
|
| 7 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 8 |
+
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
## Model Details
|
| 12 |
+
|
| 13 |
+
### Model Description
|
| 14 |
+
|
| 15 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 16 |
+
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
- **Developed by:** [More Information Needed]
|
| 20 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 21 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 22 |
+
- **Model type:** [More Information Needed]
|
| 23 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 24 |
+
- **License:** [More Information Needed]
|
| 25 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 26 |
+
|
| 27 |
+
### Model Sources [optional]
|
| 28 |
+
|
| 29 |
+
<!-- Provide the basic links for the model. -->
|
| 30 |
+
|
| 31 |
+
- **Repository:** [More Information Needed]
|
| 32 |
+
- **Paper [optional]:** [More Information Needed]
|
| 33 |
+
- **Demo [optional]:** [More Information Needed]
|
| 34 |
+
|
| 35 |
+
## Uses
|
| 36 |
+
|
| 37 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 38 |
+
|
| 39 |
+
### Direct Use
|
| 40 |
+
|
| 41 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 42 |
+
|
| 43 |
+
[More Information Needed]
|
| 44 |
+
|
| 45 |
+
### Downstream Use [optional]
|
| 46 |
+
|
| 47 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 48 |
+
|
| 49 |
+
[More Information Needed]
|
| 50 |
+
|
| 51 |
+
### Out-of-Scope Use
|
| 52 |
+
|
| 53 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 54 |
+
|
| 55 |
+
[More Information Needed]
|
| 56 |
+
|
| 57 |
+
## Bias, Risks, and Limitations
|
| 58 |
+
|
| 59 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 60 |
+
|
| 61 |
+
[More Information Needed]
|
| 62 |
+
|
| 63 |
+
### Recommendations
|
| 64 |
+
|
| 65 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 66 |
+
|
| 67 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 68 |
+
|
| 69 |
+
## How to Get Started with the Model
|
| 70 |
+
|
| 71 |
+
Use the code below to get started with the model.
|
| 72 |
+
|
| 73 |
+
[More Information Needed]
|
| 74 |
+
|
| 75 |
+
## Training Details
|
| 76 |
+
|
| 77 |
+
### Training Data
|
| 78 |
+
|
| 79 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 80 |
+
|
| 81 |
+
[More Information Needed]
|
| 82 |
+
|
| 83 |
+
### Training Procedure
|
| 84 |
+
|
| 85 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 86 |
+
|
| 87 |
+
#### Preprocessing [optional]
|
| 88 |
+
|
| 89 |
+
[More Information Needed]
|
| 90 |
+
|
| 91 |
+
|
| 92 |
+
#### Training Hyperparameters
|
| 93 |
+
|
| 94 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 95 |
+
|
| 96 |
+
#### Speeds, Sizes, Times [optional]
|
| 97 |
+
|
| 98 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 99 |
+
|
| 100 |
+
[More Information Needed]
|
| 101 |
+
|
| 102 |
+
## Evaluation
|
| 103 |
+
|
| 104 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 105 |
+
|
| 106 |
+
### Testing Data, Factors & Metrics
|
| 107 |
+
|
| 108 |
+
#### Testing Data
|
| 109 |
+
|
| 110 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 111 |
+
|
| 112 |
+
[More Information Needed]
|
| 113 |
+
|
| 114 |
+
#### Factors
|
| 115 |
+
|
| 116 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 117 |
+
|
| 118 |
+
[More Information Needed]
|
| 119 |
+
|
| 120 |
+
#### Metrics
|
| 121 |
+
|
| 122 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 123 |
+
|
| 124 |
+
[More Information Needed]
|
| 125 |
+
|
| 126 |
+
### Results
|
| 127 |
+
|
| 128 |
+
[More Information Needed]
|
| 129 |
+
|
| 130 |
+
#### Summary
|
| 131 |
+
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
## Model Examination [optional]
|
| 135 |
+
|
| 136 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 137 |
+
|
| 138 |
+
[More Information Needed]
|
| 139 |
+
|
| 140 |
+
## Environmental Impact
|
| 141 |
+
|
| 142 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 143 |
+
|
| 144 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 145 |
+
|
| 146 |
+
- **Hardware Type:** [More Information Needed]
|
| 147 |
+
- **Hours used:** [More Information Needed]
|
| 148 |
+
- **Cloud Provider:** [More Information Needed]
|
| 149 |
+
- **Compute Region:** [More Information Needed]
|
| 150 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 151 |
+
|
| 152 |
+
## Technical Specifications [optional]
|
| 153 |
+
|
| 154 |
+
### Model Architecture and Objective
|
| 155 |
+
|
| 156 |
+
[More Information Needed]
|
| 157 |
+
|
| 158 |
+
### Compute Infrastructure
|
| 159 |
+
|
| 160 |
+
[More Information Needed]
|
| 161 |
+
|
| 162 |
+
#### Hardware
|
| 163 |
+
|
| 164 |
+
[More Information Needed]
|
| 165 |
+
|
| 166 |
+
#### Software
|
| 167 |
+
|
| 168 |
+
[More Information Needed]
|
| 169 |
+
|
| 170 |
+
## Citation [optional]
|
| 171 |
+
|
| 172 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 173 |
+
|
| 174 |
+
**BibTeX:**
|
| 175 |
+
|
| 176 |
+
[More Information Needed]
|
| 177 |
+
|
| 178 |
+
**APA:**
|
| 179 |
+
|
| 180 |
+
[More Information Needed]
|
| 181 |
+
|
| 182 |
+
## Glossary [optional]
|
| 183 |
+
|
| 184 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 185 |
+
|
| 186 |
+
[More Information Needed]
|
| 187 |
+
|
| 188 |
+
## More Information [optional]
|
| 189 |
+
|
| 190 |
+
[More Information Needed]
|
| 191 |
+
|
| 192 |
+
## Model Card Authors [optional]
|
| 193 |
+
|
| 194 |
+
[More Information Needed]
|
| 195 |
+
|
| 196 |
+
## Model Card Contact
|
| 197 |
+
|
| 198 |
+
[More Information Needed]
|
| 199 |
+
### Framework versions
|
| 200 |
+
|
| 201 |
+
- PEFT 0.12.0
|
dualffn_attnlora/epoch001-global_step21000/lora/adapter_config.json
ADDED
|
@@ -0,0 +1,38 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": {
|
| 4 |
+
"base_model_class": "WanModel",
|
| 5 |
+
"parent_library": "javisdit.models.wan.modules.model"
|
| 6 |
+
},
|
| 7 |
+
"base_model_name_or_path": null,
|
| 8 |
+
"bias": "none",
|
| 9 |
+
"fan_in_fan_out": false,
|
| 10 |
+
"inference_mode": true,
|
| 11 |
+
"init_lora_weights": true,
|
| 12 |
+
"layer_replication": null,
|
| 13 |
+
"layers_pattern": null,
|
| 14 |
+
"layers_to_transform": null,
|
| 15 |
+
"loftq_config": {},
|
| 16 |
+
"lora_alpha": 256,
|
| 17 |
+
"lora_dropout": 0,
|
| 18 |
+
"megatron_config": null,
|
| 19 |
+
"megatron_core": "megatron.core",
|
| 20 |
+
"modules_to_save": null,
|
| 21 |
+
"peft_type": "LORA",
|
| 22 |
+
"r": 128,
|
| 23 |
+
"rank_pattern": {},
|
| 24 |
+
"revision": null,
|
| 25 |
+
"target_modules": [
|
| 26 |
+
"cross_attn.k",
|
| 27 |
+
"self_attn.q",
|
| 28 |
+
"cross_attn.o",
|
| 29 |
+
"cross_attn.v",
|
| 30 |
+
"self_attn.k",
|
| 31 |
+
"self_attn.v",
|
| 32 |
+
"self_attn.o",
|
| 33 |
+
"cross_attn.q"
|
| 34 |
+
],
|
| 35 |
+
"task_type": null,
|
| 36 |
+
"use_dora": false,
|
| 37 |
+
"use_rslora": false
|
| 38 |
+
}
|
dualffn_attnlora/epoch001-global_step21000/lora/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
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| 2 |
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|
| 3 |
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size 188906250
|
dualffn_attnlora/epoch001-global_step21000/lr_scheduler
ADDED
|
Binary file (1.01 kB). View file
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|
|
dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00001.bin
ADDED
|
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version https://git-lfs.github.com/spec/v1
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|
| 3 |
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size 1063199704
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dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00002.bin
ADDED
|
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version https://git-lfs.github.com/spec/v1
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| 3 |
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size 1052337966
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dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00003.bin
ADDED
|
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version https://git-lfs.github.com/spec/v1
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size 1073578482
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dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00004.bin
ADDED
|
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size 1069650054
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dualffn_attnlora/epoch001-global_step21000/model/pytorch_model-00005.bin
ADDED
|
@@ -0,0 +1,3 @@
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size 435227208
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dualffn_attnlora/epoch001-global_step21000/model/pytorch_model.bin.index.json
ADDED
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