kmpartner commited on
Commit
29bb7d0
1 Parent(s): b2dd0fd

Upload folder using huggingface_hub

Browse files
README.md CHANGED
@@ -199,4 +199,5 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
199
  [More Information Needed]
200
  ### Framework versions
201
 
 
202
  - PEFT 0.12.0
 
199
  [More Information Needed]
200
  ### Framework versions
201
 
202
+ - PEFT 0.13.2
203
  - PEFT 0.12.0
adapter_config.json CHANGED
@@ -23,20 +23,20 @@
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
 
26
  "conv1",
27
- "time_emb_proj",
28
- "conv2",
29
- "ff.net.2",
30
- "ff.net.0.proj",
31
- "to_out.0",
32
  "to_k",
33
  "conv_shortcut",
34
- "to_q",
35
  "downsamplers.0.conv",
 
36
  "upsamplers.0.conv",
37
- "proj_out",
38
- "proj_in",
39
- "to_v"
 
 
 
40
  ],
41
  "task_type": null,
42
  "use_dora": false,
 
23
  "rank_pattern": {},
24
  "revision": null,
25
  "target_modules": [
26
+ "to_v",
27
  "conv1",
 
 
 
 
 
28
  "to_k",
29
  "conv_shortcut",
30
+ "proj_out",
31
  "downsamplers.0.conv",
32
+ "ff.net.0.proj",
33
  "upsamplers.0.conv",
34
+ "to_out.0",
35
+ "conv2",
36
+ "to_q",
37
+ "time_emb_proj",
38
+ "ff.net.2",
39
+ "proj_in"
40
  ],
41
  "task_type": null,
42
  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:eb72effce4e2aae7020b1bb2e6b88d9d2bf77016d79af1559a1a652def46b92b
3
  size 251887560
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be9a5a3924f6c964d31c486e1ccc4637aedc64f221f832dda7e74ec93ec96f46
3
  size 251887560
checkpoint-200/README.md ADDED
@@ -0,0 +1,202 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: etri-vilab/koala-700m
3
+ library_name: peft
4
+ ---
5
+
6
+ # Model Card for Model ID
7
+
8
+ <!-- Provide a quick summary of what the model is/does. -->
9
+
10
+
11
+
12
+ ## Model Details
13
+
14
+ ### Model Description
15
+
16
+ <!-- Provide a longer summary of what this model is. -->
17
+
18
+
19
+
20
+ - **Developed by:** [More Information Needed]
21
+ - **Funded by [optional]:** [More Information Needed]
22
+ - **Shared by [optional]:** [More Information Needed]
23
+ - **Model type:** [More Information Needed]
24
+ - **Language(s) (NLP):** [More Information Needed]
25
+ - **License:** [More Information Needed]
26
+ - **Finetuned from model [optional]:** [More Information Needed]
27
+
28
+ ### Model Sources [optional]
29
+
30
+ <!-- Provide the basic links for the model. -->
31
+
32
+ - **Repository:** [More Information Needed]
33
+ - **Paper [optional]:** [More Information Needed]
34
+ - **Demo [optional]:** [More Information Needed]
35
+
36
+ ## Uses
37
+
38
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
39
+
40
+ ### Direct Use
41
+
42
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
43
+
44
+ [More Information Needed]
45
+
46
+ ### Downstream Use [optional]
47
+
48
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Out-of-Scope Use
53
+
54
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
55
+
56
+ [More Information Needed]
57
+
58
+ ## Bias, Risks, and Limitations
59
+
60
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ### Recommendations
65
+
66
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
67
+
68
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
69
+
70
+ ## How to Get Started with the Model
71
+
72
+ Use the code below to get started with the model.
73
+
74
+ [More Information Needed]
75
+
76
+ ## Training Details
77
+
78
+ ### Training Data
79
+
80
+ <!-- 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. -->
81
+
82
+ [More Information Needed]
83
+
84
+ ### Training Procedure
85
+
86
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
87
+
88
+ #### Preprocessing [optional]
89
+
90
+ [More Information Needed]
91
+
92
+
93
+ #### Training Hyperparameters
94
+
95
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
96
+
97
+ #### Speeds, Sizes, Times [optional]
98
+
99
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
100
+
101
+ [More Information Needed]
102
+
103
+ ## Evaluation
104
+
105
+ <!-- This section describes the evaluation protocols and provides the results. -->
106
+
107
+ ### Testing Data, Factors & Metrics
108
+
109
+ #### Testing Data
110
+
111
+ <!-- This should link to a Dataset Card if possible. -->
112
+
113
+ [More Information Needed]
114
+
115
+ #### Factors
116
+
117
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Metrics
122
+
123
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
124
+
125
+ [More Information Needed]
126
+
127
+ ### Results
128
+
129
+ [More Information Needed]
130
+
131
+ #### Summary
132
+
133
+
134
+
135
+ ## Model Examination [optional]
136
+
137
+ <!-- Relevant interpretability work for the model goes here -->
138
+
139
+ [More Information Needed]
140
+
141
+ ## Environmental Impact
142
+
143
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
144
+
145
+ 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).
146
+
147
+ - **Hardware Type:** [More Information Needed]
148
+ - **Hours used:** [More Information Needed]
149
+ - **Cloud Provider:** [More Information Needed]
150
+ - **Compute Region:** [More Information Needed]
151
+ - **Carbon Emitted:** [More Information Needed]
152
+
153
+ ## Technical Specifications [optional]
154
+
155
+ ### Model Architecture and Objective
156
+
157
+ [More Information Needed]
158
+
159
+ ### Compute Infrastructure
160
+
161
+ [More Information Needed]
162
+
163
+ #### Hardware
164
+
165
+ [More Information Needed]
166
+
167
+ #### Software
168
+
169
+ [More Information Needed]
170
+
171
+ ## Citation [optional]
172
+
173
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
174
+
175
+ **BibTeX:**
176
+
177
+ [More Information Needed]
178
+
179
+ **APA:**
180
+
181
+ [More Information Needed]
182
+
183
+ ## Glossary [optional]
184
+
185
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
186
+
187
+ [More Information Needed]
188
+
189
+ ## More Information [optional]
190
+
191
+ [More Information Needed]
192
+
193
+ ## Model Card Authors [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Contact
198
+
199
+ [More Information Needed]
200
+ ### Framework versions
201
+
202
+ - PEFT 0.13.2
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "UNet2DConditionModel",
5
+ "parent_library": "diffusers.models.unets.unet_2d_condition"
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": 64,
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
+ "to_v",
27
+ "conv1",
28
+ "to_k",
29
+ "conv_shortcut",
30
+ "proj_out",
31
+ "downsamplers.0.conv",
32
+ "ff.net.0.proj",
33
+ "upsamplers.0.conv",
34
+ "to_out.0",
35
+ "conv2",
36
+ "to_q",
37
+ "time_emb_proj",
38
+ "ff.net.2",
39
+ "proj_in"
40
+ ],
41
+ "task_type": null,
42
+ "use_dora": false,
43
+ "use_rslora": false
44
+ }
checkpoint-200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be9a5a3924f6c964d31c486e1ccc4637aedc64f221f832dda7e74ec93ec96f46
3
+ size 251887560
checkpoint-200/optimizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e64723557412a2ded999b7556a66aeee581cce1bb9e1b7ae014b2850558b5de
3
+ size 128485884
checkpoint-200/random_states_0.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00ec2e042e7130f8a83ef195434019172708f6a1f07c4fa1f796a31917abe2b1
3
+ size 14408
checkpoint-200/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bd55b3848d82967a207e0805911c79200c6adce71e3b37fd24549a718f75738
3
+ size 988
checkpoint-200/scheduler.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:42e5d7f11c268af031b89aac934fd3ff88222bc0b00e48552541527a2cb8920e
3
+ size 1000
checkpoint-200/unet_lora/pytorch_lora_weights.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb71fd957abc46778f7b4b5ffac76a4b3662d4f761cdefe7bb0e8a7b5875a14b
3
+ size 251890168
logs/k7mlcmdistill-test/1729858058.488179/events.out.tfevents.1729858058.de8f3c3d4453.8958.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f7c9ecabfcfc2c6ae5eb7a18b6ecf609c119e904cd34d1830480480fc5b47f35
3
+ size 2898
logs/k7mlcmdistill-test/1729858058.4900043/hparams.yml ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ adam_beta1: 0.9
2
+ adam_beta2: 0.999
3
+ adam_epsilon: 1.0e-08
4
+ adam_weight_decay: 0.0
5
+ allow_tf32: false
6
+ cache_dir: null
7
+ cast_teacher_unet: false
8
+ center_crop: false
9
+ checkpointing_steps: 250
10
+ checkpoints_total_limit: 10
11
+ dataloader_num_workers: 2
12
+ enable_xformers_memory_efficient_attention: true
13
+ gradient_accumulation_steps: 4
14
+ gradient_checkpointing: true
15
+ hub_model_id: null
16
+ hub_token: null
17
+ huber_c: 0.001
18
+ interpolation_type: bilinear
19
+ learning_rate: 1.0e-05
20
+ local_rank: -1
21
+ logging_dir: logs
22
+ lora_alpha: 64
23
+ lora_dropout: 0.0
24
+ lora_rank: 64
25
+ lora_target_modules: null
26
+ loss_type: huber
27
+ lr_scheduler: constant
28
+ lr_warmup_steps: 0
29
+ max_grad_norm: 1.0
30
+ max_train_samples: 4000000
31
+ max_train_steps: 3250
32
+ mixed_precision: fp16
33
+ num_ddim_timesteps: 50
34
+ num_train_epochs: 1
35
+ output_dir: k7mlcmdistill-test
36
+ pretrained_teacher_model: etri-vilab/koala-700m
37
+ pretrained_vae_model_name_or_path: null
38
+ proportion_empty_prompts: 0
39
+ push_to_hub: false
40
+ random_flip: false
41
+ report_to: tensorboard
42
+ resolution: 1024
43
+ resume_from_checkpoint: null
44
+ revision: null
45
+ scale_lr: false
46
+ seed: null
47
+ teacher_revision: null
48
+ timestep_scaling_factor: 10.0
49
+ tracker_project_name: k7mlcmdistill-test
50
+ train_batch_size: 1
51
+ train_shards_path_or_url: /content/diffusers/examples/consistency_distillation/lart-1024-4000/00000.tar
52
+ use_8bit_adam: true
53
+ use_fix_crop_and_size: false
54
+ vae_encode_batch_size: 8
55
+ validation_steps: 10000000
56
+ w_max: 15.0
57
+ w_min: 3.0
logs/k7mlcmdistill-test/1729858155.550487/events.out.tfevents.1729858155.de8f3c3d4453.9433.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:91e2aaaeb08ce0f0e1bc98f178858fa1c3579001d206db1dc6eaa369dd0e581c
3
+ size 2992
logs/k7mlcmdistill-test/1729858155.5524282/hparams.yml ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ adam_beta1: 0.9
2
+ adam_beta2: 0.999
3
+ adam_epsilon: 1.0e-08
4
+ adam_weight_decay: 0.0
5
+ allow_tf32: false
6
+ cache_dir: null
7
+ cast_teacher_unet: false
8
+ center_crop: false
9
+ checkpointing_steps: 250
10
+ checkpoints_total_limit: 10
11
+ dataloader_num_workers: 2
12
+ enable_xformers_memory_efficient_attention: true
13
+ gradient_accumulation_steps: 4
14
+ gradient_checkpointing: true
15
+ hub_model_id: null
16
+ hub_token: null
17
+ huber_c: 0.001
18
+ interpolation_type: bilinear
19
+ learning_rate: 1.0e-05
20
+ local_rank: -1
21
+ logging_dir: logs
22
+ lora_alpha: 64
23
+ lora_dropout: 0.0
24
+ lora_rank: 64
25
+ lora_target_modules: null
26
+ loss_type: huber
27
+ lr_scheduler: constant
28
+ lr_warmup_steps: 0
29
+ max_grad_norm: 1.0
30
+ max_train_samples: 4000000
31
+ max_train_steps: 3250
32
+ mixed_precision: fp16
33
+ num_ddim_timesteps: 50
34
+ num_train_epochs: 1
35
+ output_dir: k7mlcmdistill-test
36
+ pretrained_teacher_model: etri-vilab/koala-700m
37
+ pretrained_vae_model_name_or_path: null
38
+ proportion_empty_prompts: 0
39
+ push_to_hub: false
40
+ random_flip: false
41
+ report_to: tensorboard
42
+ resolution: 1024
43
+ resume_from_checkpoint: ./k7mlcmdistill-test/checkpoint-3000
44
+ revision: null
45
+ scale_lr: false
46
+ seed: null
47
+ teacher_revision: null
48
+ timestep_scaling_factor: 10.0
49
+ tracker_project_name: k7mlcmdistill-test
50
+ train_batch_size: 1
51
+ train_shards_path_or_url: /content/diffusers/examples/consistency_distillation/lart-1024-4000/00000.tar
52
+ use_8bit_adam: true
53
+ use_fix_crop_and_size: false
54
+ vae_encode_batch_size: 8
55
+ validation_steps: 10000000
56
+ w_max: 15.0
57
+ w_min: 3.0
logs/k7mlcmdistill-test/events.out.tfevents.1729858058.de8f3c3d4453.8958.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:be49d91e4fbd62e6ac77932295f1ede0a45d047730b19b11d5212123f6348d89
3
+ size 814
logs/k7mlcmdistill-test/events.out.tfevents.1729858155.de8f3c3d4453.9433.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d002e1bf9c25eb7a01b0df47337ff1b5709853bf5a8ba32dca8a30da766e3b80
3
+ size 340
unet_lora/pytorch_lora_weights.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:7c4b7c170cb9bc6ee40c033e637e7b00525b25ceaf85bf1cc80acb77434c40ac
3
  size 251890168
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb71fd957abc46778f7b4b5ffac76a4b3662d4f761cdefe7bb0e8a7b5875a14b
3
  size 251890168