kmpartner commited on
Commit
3684247
·
verified ·
1 Parent(s): a19fdda

Upload folder using huggingface_hub

Browse files
checkpoint-3500/README.md ADDED
@@ -0,0 +1,204 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: kmpartner/k512-ft-test
3
+ library_name: peft
4
+ tags:
5
+ - lora
6
+ ---
7
+
8
+ # Model Card for Model ID
9
+
10
+ <!-- Provide a quick summary of what the model is/does. -->
11
+
12
+
13
+
14
+ ## Model Details
15
+
16
+ ### Model Description
17
+
18
+ <!-- Provide a longer summary of what this model is. -->
19
+
20
+
21
+
22
+ - **Developed by:** [More Information Needed]
23
+ - **Funded by [optional]:** [More Information Needed]
24
+ - **Shared by [optional]:** [More Information Needed]
25
+ - **Model type:** [More Information Needed]
26
+ - **Language(s) (NLP):** [More Information Needed]
27
+ - **License:** [More Information Needed]
28
+ - **Finetuned from model [optional]:** [More Information Needed]
29
+
30
+ ### Model Sources [optional]
31
+
32
+ <!-- Provide the basic links for the model. -->
33
+
34
+ - **Repository:** [More Information Needed]
35
+ - **Paper [optional]:** [More Information Needed]
36
+ - **Demo [optional]:** [More Information Needed]
37
+
38
+ ## Uses
39
+
40
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
41
+
42
+ ### Direct Use
43
+
44
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
45
+
46
+ [More Information Needed]
47
+
48
+ ### Downstream Use [optional]
49
+
50
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Out-of-Scope Use
55
+
56
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
57
+
58
+ [More Information Needed]
59
+
60
+ ## Bias, Risks, and Limitations
61
+
62
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ### Recommendations
67
+
68
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
69
+
70
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
71
+
72
+ ## How to Get Started with the Model
73
+
74
+ Use the code below to get started with the model.
75
+
76
+ [More Information Needed]
77
+
78
+ ## Training Details
79
+
80
+ ### Training Data
81
+
82
+ <!-- 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. -->
83
+
84
+ [More Information Needed]
85
+
86
+ ### Training Procedure
87
+
88
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
89
+
90
+ #### Preprocessing [optional]
91
+
92
+ [More Information Needed]
93
+
94
+
95
+ #### Training Hyperparameters
96
+
97
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
98
+
99
+ #### Speeds, Sizes, Times [optional]
100
+
101
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
102
+
103
+ [More Information Needed]
104
+
105
+ ## Evaluation
106
+
107
+ <!-- This section describes the evaluation protocols and provides the results. -->
108
+
109
+ ### Testing Data, Factors & Metrics
110
+
111
+ #### Testing Data
112
+
113
+ <!-- This should link to a Dataset Card if possible. -->
114
+
115
+ [More Information Needed]
116
+
117
+ #### Factors
118
+
119
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Metrics
124
+
125
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
126
+
127
+ [More Information Needed]
128
+
129
+ ### Results
130
+
131
+ [More Information Needed]
132
+
133
+ #### Summary
134
+
135
+
136
+
137
+ ## Model Examination [optional]
138
+
139
+ <!-- Relevant interpretability work for the model goes here -->
140
+
141
+ [More Information Needed]
142
+
143
+ ## Environmental Impact
144
+
145
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
146
+
147
+ 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).
148
+
149
+ - **Hardware Type:** [More Information Needed]
150
+ - **Hours used:** [More Information Needed]
151
+ - **Cloud Provider:** [More Information Needed]
152
+ - **Compute Region:** [More Information Needed]
153
+ - **Carbon Emitted:** [More Information Needed]
154
+
155
+ ## Technical Specifications [optional]
156
+
157
+ ### Model Architecture and Objective
158
+
159
+ [More Information Needed]
160
+
161
+ ### Compute Infrastructure
162
+
163
+ [More Information Needed]
164
+
165
+ #### Hardware
166
+
167
+ [More Information Needed]
168
+
169
+ #### Software
170
+
171
+ [More Information Needed]
172
+
173
+ ## Citation [optional]
174
+
175
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
176
+
177
+ **BibTeX:**
178
+
179
+ [More Information Needed]
180
+
181
+ **APA:**
182
+
183
+ [More Information Needed]
184
+
185
+ ## Glossary [optional]
186
+
187
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
188
+
189
+ [More Information Needed]
190
+
191
+ ## More Information [optional]
192
+
193
+ [More Information Needed]
194
+
195
+ ## Model Card Authors [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Contact
200
+
201
+ [More Information Needed]
202
+ ### Framework versions
203
+
204
+ - PEFT 0.16.0
checkpoint-3500/adapter_config.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "corda_config": null,
10
+ "eva_config": null,
11
+ "exclude_modules": null,
12
+ "fan_in_fan_out": false,
13
+ "inference_mode": true,
14
+ "init_lora_weights": true,
15
+ "layer_replication": null,
16
+ "layers_pattern": null,
17
+ "layers_to_transform": null,
18
+ "loftq_config": {},
19
+ "lora_alpha": 64,
20
+ "lora_bias": false,
21
+ "lora_dropout": 0.0,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": null,
25
+ "peft_type": "LORA",
26
+ "qalora_group_size": 16,
27
+ "r": 64,
28
+ "rank_pattern": {},
29
+ "revision": null,
30
+ "target_modules": [
31
+ "downsamplers.0.conv",
32
+ "conv_shortcut",
33
+ "conv2",
34
+ "proj_out",
35
+ "to_q",
36
+ "to_k",
37
+ "to_v",
38
+ "ff.net.2",
39
+ "upsamplers.0.conv",
40
+ "to_out.0",
41
+ "time_emb_proj",
42
+ "ff.net.0.proj",
43
+ "conv1",
44
+ "proj_in"
45
+ ],
46
+ "task_type": null,
47
+ "trainable_token_indices": null,
48
+ "use_dora": false,
49
+ "use_qalora": false,
50
+ "use_rslora": false
51
+ }
checkpoint-3500/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f1a817340d7100cd1354b78b815d128a80bd9eb258d23509b27d46e677cd45d7
3
+ size 251887560
checkpoint-3500/optimizer.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:171b095b08e6b1b60a55acf90b89cfa862404f3cf22a2ecfcf5db49a48853398
3
+ size 129845599
checkpoint-3500/random_states_0.pkl ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ce6f29da50bdb4a6e281ab6c1d2a03be40495b78c15be44526270a458d952e3
3
+ size 14757
checkpoint-3500/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac1b9358ab1cb9acff90f4d1d692ac08bbdb1986a66544aed9f6fe9b801b17b3
3
+ size 1383
checkpoint-3500/scheduler.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fe9453bfe59de0a303a6d5ac20015ea4dc741ef32acfc395b92c69c7d50feef7
3
+ size 1401
checkpoint-3500/unet_lora/pytorch_lora_weights.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:85018bdd3694233a3fa9bae1363e031960c95ade8c50751f3772667c40a4fa90
3
+ size 251890168
logs/k7mlcmdistill-test/1754443867.308661/events.out.tfevents.1754443867.516313267ec0.6425.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5e9f93ab56ff3c8d14335982268fb97f9e79013daff39fe663adf2b9217c6881
3
+ size 3001
logs/k7mlcmdistill-test/1754443867.3161333/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: 500
10
+ checkpoints_total_limit: 10
11
+ dataloader_num_workers: 2
12
+ enable_xformers_memory_efficient_attention: true
13
+ gradient_accumulation_steps: 2
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: 5.0e-06
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: 4000
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: 512
43
+ resume_from_checkpoint: ./k7mlcmdistill-test/checkpoint-3250
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: 4
51
+ train_shards_path_or_url: /content/diffusers/examples/consistency_distillation/lart-1024-4000/{00000..00001}.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/1754443976.8205092/events.out.tfevents.1754443976.516313267ec0.7771.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cb891d3f7af894ee46d045b760dcfe659b69c35179675b548b8507889fee51b0
3
+ size 2992
logs/k7mlcmdistill-test/1754443976.822157/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: 500
10
+ checkpoints_total_limit: 10
11
+ dataloader_num_workers: 2
12
+ enable_xformers_memory_efficient_attention: true
13
+ gradient_accumulation_steps: 2
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: 5.0e-06
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: 4000
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: 512
43
+ resume_from_checkpoint: ./k7mlcmdistill-test/checkpoint-3250
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: 4
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/1754444117.2401643/events.out.tfevents.1754444117.516313267ec0.8396.1 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d00e32c075d70e131aa546e05e458d7731c2e94847de224f890470c812904aec
3
+ size 3057
logs/k7mlcmdistill-test/1754444117.2418163/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: 500
10
+ checkpoints_total_limit: 10
11
+ dataloader_num_workers: 2
12
+ enable_xformers_memory_efficient_attention: true
13
+ gradient_accumulation_steps: 2
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: 5.0e-06
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: 4000
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: 512
43
+ resume_from_checkpoint: ./k7mlcmdistill-test/checkpoint-3250
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: 4
51
+ train_shards_path_or_url: pipe:curl -L -s https://huggingface.co/datasets/laion/conceptual-captions-12m-webdataset/resolve/main/data/{00002..00004}.tar?download=true
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.1754443867.516313267ec0.6425.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2d06491ca36284db793c5386bfb4f6da985fb1bf11ac89057853fab99072594d
3
+ size 88
logs/k7mlcmdistill-test/events.out.tfevents.1754443976.516313267ec0.7771.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f9a359aca651a92eb381a64376ef01022e3f43144b2033416f2b8e0508f238f0
3
+ size 88
logs/k7mlcmdistill-test/events.out.tfevents.1754444117.516313267ec0.8396.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:690a827ab4ab88bfaae80cda8f8bdbdf2ba4608375c274ed594f264b7877da4c
3
+ size 104248