9211sun commited on
Commit
d62ded0
·
verified ·
1 Parent(s): 589e760

Upload weights/phase1/androidcontrol/nextpage

Browse files
weights/phase1/androidcontrol/nextpage/README.md ADDED
@@ -0,0 +1,206 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b
3
+ library_name: peft
4
+ tags:
5
+ - base_model:adapter:/mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b
6
+ - lora
7
+ - transformers
8
+ ---
9
+
10
+ # Model Card for Model ID
11
+
12
+ <!-- Provide a quick summary of what the model is/does. -->
13
+
14
+
15
+
16
+ ## Model Details
17
+
18
+ ### Model Description
19
+
20
+ <!-- Provide a longer summary of what this model is. -->
21
+
22
+
23
+
24
+ - **Developed by:** [More Information Needed]
25
+ - **Funded by [optional]:** [More Information Needed]
26
+ - **Shared by [optional]:** [More Information Needed]
27
+ - **Model type:** [More Information Needed]
28
+ - **Language(s) (NLP):** [More Information Needed]
29
+ - **License:** [More Information Needed]
30
+ - **Finetuned from model [optional]:** [More Information Needed]
31
+
32
+ ### Model Sources [optional]
33
+
34
+ <!-- Provide the basic links for the model. -->
35
+
36
+ - **Repository:** [More Information Needed]
37
+ - **Paper [optional]:** [More Information Needed]
38
+ - **Demo [optional]:** [More Information Needed]
39
+
40
+ ## Uses
41
+
42
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
43
+
44
+ ### Direct Use
45
+
46
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
47
+
48
+ [More Information Needed]
49
+
50
+ ### Downstream Use [optional]
51
+
52
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
53
+
54
+ [More Information Needed]
55
+
56
+ ### Out-of-Scope Use
57
+
58
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
59
+
60
+ [More Information Needed]
61
+
62
+ ## Bias, Risks, and Limitations
63
+
64
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
65
+
66
+ [More Information Needed]
67
+
68
+ ### Recommendations
69
+
70
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
71
+
72
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
73
+
74
+ ## How to Get Started with the Model
75
+
76
+ Use the code below to get started with the model.
77
+
78
+ [More Information Needed]
79
+
80
+ ## Training Details
81
+
82
+ ### Training Data
83
+
84
+ <!-- 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. -->
85
+
86
+ [More Information Needed]
87
+
88
+ ### Training Procedure
89
+
90
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
91
+
92
+ #### Preprocessing [optional]
93
+
94
+ [More Information Needed]
95
+
96
+
97
+ #### Training Hyperparameters
98
+
99
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
100
+
101
+ #### Speeds, Sizes, Times [optional]
102
+
103
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
104
+
105
+ [More Information Needed]
106
+
107
+ ## Evaluation
108
+
109
+ <!-- This section describes the evaluation protocols and provides the results. -->
110
+
111
+ ### Testing Data, Factors & Metrics
112
+
113
+ #### Testing Data
114
+
115
+ <!-- This should link to a Dataset Card if possible. -->
116
+
117
+ [More Information Needed]
118
+
119
+ #### Factors
120
+
121
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
122
+
123
+ [More Information Needed]
124
+
125
+ #### Metrics
126
+
127
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
128
+
129
+ [More Information Needed]
130
+
131
+ ### Results
132
+
133
+ [More Information Needed]
134
+
135
+ #### Summary
136
+
137
+
138
+
139
+ ## Model Examination [optional]
140
+
141
+ <!-- Relevant interpretability work for the model goes here -->
142
+
143
+ [More Information Needed]
144
+
145
+ ## Environmental Impact
146
+
147
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
148
+
149
+ 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).
150
+
151
+ - **Hardware Type:** [More Information Needed]
152
+ - **Hours used:** [More Information Needed]
153
+ - **Cloud Provider:** [More Information Needed]
154
+ - **Compute Region:** [More Information Needed]
155
+ - **Carbon Emitted:** [More Information Needed]
156
+
157
+ ## Technical Specifications [optional]
158
+
159
+ ### Model Architecture and Objective
160
+
161
+ [More Information Needed]
162
+
163
+ ### Compute Infrastructure
164
+
165
+ [More Information Needed]
166
+
167
+ #### Hardware
168
+
169
+ [More Information Needed]
170
+
171
+ #### Software
172
+
173
+ [More Information Needed]
174
+
175
+ ## Citation [optional]
176
+
177
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
178
+
179
+ **BibTeX:**
180
+
181
+ [More Information Needed]
182
+
183
+ **APA:**
184
+
185
+ [More Information Needed]
186
+
187
+ ## Glossary [optional]
188
+
189
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
190
+
191
+ [More Information Needed]
192
+
193
+ ## More Information [optional]
194
+
195
+ [More Information Needed]
196
+
197
+ ## Model Card Authors [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Contact
202
+
203
+ [More Information Needed]
204
+ ### Framework versions
205
+
206
+ - PEFT 0.17.1
weights/phase1/androidcontrol/nextpage/adapter_config.json ADDED
@@ -0,0 +1,37 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alpha_pattern": {},
3
+ "auto_mapping": {
4
+ "base_model_class": "Qwen2_5_VLForConditionalGeneration",
5
+ "parent_library": "transformers.models.qwen2_5_vl.modeling_qwen2_5_vl"
6
+ },
7
+ "base_model_name_or_path": "/mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b",
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": 0.05,
22
+ "megatron_config": null,
23
+ "megatron_core": "megatron.core",
24
+ "modules_to_save": [],
25
+ "peft_type": "LORA",
26
+ "qalora_group_size": 16,
27
+ "r": 16,
28
+ "rank_pattern": {},
29
+ "revision": null,
30
+ "target_modules": "^(model.language_model.*\\.(k_proj|o_proj|up_proj|gate_proj|q_proj|v_proj|down_proj))$",
31
+ "target_parameters": null,
32
+ "task_type": null,
33
+ "trainable_token_indices": null,
34
+ "use_dora": false,
35
+ "use_qalora": false,
36
+ "use_rslora": false
37
+ }
weights/phase1/androidcontrol/nextpage/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56006dfc613510d9f9fa2fead9d1615851a1b4fbe60b3e0d37d45832fef16cfb
3
+ size 59942200
weights/phase1/androidcontrol/nextpage/additional_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"lora_dtype": null, "lorap_lr_ratio": null, "lorap_emb_lr": 1e-06}
weights/phase1/androidcontrol/nextpage/args.json ADDED
@@ -0,0 +1,374 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "output_dir": "/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006",
3
+ "overwrite_output_dir": false,
4
+ "do_train": false,
5
+ "do_eval": false,
6
+ "do_predict": false,
7
+ "eval_strategy": "no",
8
+ "prediction_loss_only": false,
9
+ "per_device_train_batch_size": 2,
10
+ "per_device_eval_batch_size": 1,
11
+ "gradient_accumulation_steps": 1,
12
+ "eval_accumulation_steps": 2,
13
+ "eval_delay": 0,
14
+ "torch_empty_cache_steps": null,
15
+ "learning_rate": 5e-05,
16
+ "weight_decay": 0.1,
17
+ "adam_beta1": 0.9,
18
+ "adam_beta2": 0.95,
19
+ "adam_epsilon": 1e-08,
20
+ "max_grad_norm": 1.0,
21
+ "num_train_epochs": 1.0,
22
+ "max_steps": 20000,
23
+ "lr_scheduler_type": "linear",
24
+ "lr_scheduler_kwargs": null,
25
+ "warmup_ratio": 0.03,
26
+ "warmup_steps": 0,
27
+ "log_level": "passive",
28
+ "log_level_replica": "warning",
29
+ "log_on_each_node": true,
30
+ "logging_dir": "/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006/runs",
31
+ "logging_strategy": "steps",
32
+ "logging_first_step": true,
33
+ "logging_steps": 10,
34
+ "logging_nan_inf_filter": true,
35
+ "save_strategy": "steps",
36
+ "save_steps": 500.0,
37
+ "save_total_limit": 8,
38
+ "save_safetensors": true,
39
+ "save_on_each_node": false,
40
+ "save_only_model": false,
41
+ "restore_callback_states_from_checkpoint": false,
42
+ "use_cpu": false,
43
+ "seed": 42,
44
+ "data_seed": 42,
45
+ "jit_mode_eval": false,
46
+ "bf16": true,
47
+ "fp16": false,
48
+ "fp16_opt_level": "O1",
49
+ "half_precision_backend": "auto",
50
+ "bf16_full_eval": false,
51
+ "fp16_full_eval": false,
52
+ "tf32": null,
53
+ "local_rank": 0,
54
+ "ddp_backend": null,
55
+ "tpu_num_cores": null,
56
+ "debug": null,
57
+ "dataloader_drop_last": true,
58
+ "eval_steps": null,
59
+ "dataloader_num_workers": 8,
60
+ "dataloader_prefetch_factor": null,
61
+ "past_index": -1,
62
+ "run_name": "/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006",
63
+ "disable_tqdm": null,
64
+ "remove_unused_columns": true,
65
+ "label_names": null,
66
+ "load_best_model_at_end": false,
67
+ "metric_for_best_model": "loss",
68
+ "greater_is_better": false,
69
+ "ignore_data_skip": false,
70
+ "fsdp": "",
71
+ "fsdp_config": null,
72
+ "accelerator_config": {
73
+ "dispatch_batches": false
74
+ },
75
+ "parallelism_config": null,
76
+ "deepspeed": {
77
+ "fp16": {
78
+ "enabled": "auto",
79
+ "loss_scale": 0,
80
+ "loss_scale_window": 1000,
81
+ "initial_scale_power": 16,
82
+ "hysteresis": 2,
83
+ "min_loss_scale": 1
84
+ },
85
+ "bf16": {
86
+ "enabled": "auto"
87
+ },
88
+ "zero_optimization": {
89
+ "stage": 3,
90
+ "offload_optimizer": {
91
+ "device": "none",
92
+ "pin_memory": true
93
+ },
94
+ "offload_param": {
95
+ "device": "none",
96
+ "pin_memory": true
97
+ },
98
+ "overlap_comm": false,
99
+ "contiguous_gradients": true,
100
+ "sub_group_size": 1000000000.0,
101
+ "reduce_bucket_size": "auto",
102
+ "zero_quantized_weights": false,
103
+ "zero_quantized_gradients": false,
104
+ "stage3_prefetch_bucket_size": "auto",
105
+ "stage3_param_persistence_threshold": "auto",
106
+ "stage3_max_live_parameters": 1000000000.0,
107
+ "stage3_max_reuse_distance": 1000000000.0,
108
+ "stage3_gather_16bit_weights_on_model_save": true
109
+ },
110
+ "gradient_accumulation_steps": "auto",
111
+ "gradient_clipping": "auto",
112
+ "steps_per_print": 2000,
113
+ "train_batch_size": "auto",
114
+ "train_micro_batch_size_per_gpu": "auto",
115
+ "wall_clock_breakdown": false
116
+ },
117
+ "label_smoothing_factor": 0.0,
118
+ "optim": "adamw_torch_fused",
119
+ "optim_args": null,
120
+ "group_by_length": false,
121
+ "length_column_name": "length",
122
+ "report_to": [
123
+ "tensorboard"
124
+ ],
125
+ "ddp_find_unused_parameters": null,
126
+ "ddp_bucket_cap_mb": null,
127
+ "ddp_broadcast_buffers": null,
128
+ "dataloader_pin_memory": true,
129
+ "dataloader_persistent_workers": false,
130
+ "skip_memory_metrics": true,
131
+ "use_legacy_prediction_loop": false,
132
+ "push_to_hub": false,
133
+ "resume_from_checkpoint": null,
134
+ "hub_model_id": null,
135
+ "hub_strategy": "every_save",
136
+ "hub_token": null,
137
+ "hub_private_repo": null,
138
+ "hub_always_push": false,
139
+ "hub_revision": null,
140
+ "gradient_checkpointing": true,
141
+ "gradient_checkpointing_kwargs": null,
142
+ "include_for_metrics": [],
143
+ "eval_do_concat_batches": true,
144
+ "mp_parameters": "",
145
+ "auto_find_batch_size": false,
146
+ "full_determinism": false,
147
+ "ray_scope": "last",
148
+ "ddp_timeout": 18000000,
149
+ "torch_compile": false,
150
+ "torch_compile_backend": null,
151
+ "torch_compile_mode": null,
152
+ "include_tokens_per_second": false,
153
+ "include_num_input_tokens_seen": false,
154
+ "neftune_noise_alpha": null,
155
+ "optim_target_modules": null,
156
+ "batch_eval_metrics": false,
157
+ "eval_on_start": false,
158
+ "use_liger_kernel": false,
159
+ "liger_kernel_config": null,
160
+ "eval_use_gather_object": false,
161
+ "average_tokens_across_devices": true,
162
+ "sortish_sampler": false,
163
+ "predict_with_generate": false,
164
+ "generation_max_length": null,
165
+ "generation_num_beams": null,
166
+ "generation_config": null,
167
+ "tuner_backend": "peft",
168
+ "vit_gradient_checkpointing": null,
169
+ "router_aux_loss_coef": 0.0,
170
+ "enable_dft_loss": false,
171
+ "enable_channel_loss": false,
172
+ "check_model": true,
173
+ "acc_strategy": "token",
174
+ "train_dataloader_shuffle": true,
175
+ "max_epochs": null,
176
+ "aligner_lr": null,
177
+ "vit_lr": null,
178
+ "use_logits_to_keep": null,
179
+ "ds3_gather_for_generation": true,
180
+ "resume_only_model": false,
181
+ "optimizer": null,
182
+ "loss_type": "infonce",
183
+ "metric": null,
184
+ "eval_use_evalscope": false,
185
+ "eval_dataset": [],
186
+ "eval_dataset_args": null,
187
+ "eval_limit": 100,
188
+ "eval_generation_config": null,
189
+ "extra_eval_args": null,
190
+ "use_flash_ckpt": false,
191
+ "use_ray": false,
192
+ "ray_exp_name": null,
193
+ "device_groups": null,
194
+ "model": "/mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b",
195
+ "model_type": "qwen2_5_vl",
196
+ "model_revision": null,
197
+ "task_type": "embedding",
198
+ "torch_dtype": "bfloat16",
199
+ "attn_impl": null,
200
+ "new_special_tokens": [],
201
+ "num_labels": null,
202
+ "problem_type": null,
203
+ "rope_scaling": null,
204
+ "device_map": null,
205
+ "max_memory": {},
206
+ "max_model_len": null,
207
+ "local_repo_path": null,
208
+ "init_strategy": null,
209
+ "template": "qwen2_5_vl",
210
+ "system": null,
211
+ "max_length": 128000,
212
+ "truncation_strategy": "delete",
213
+ "max_pixels": null,
214
+ "agent_template": null,
215
+ "norm_bbox": null,
216
+ "use_chat_template": true,
217
+ "padding_free": false,
218
+ "padding_side": "right",
219
+ "loss_scale": "default",
220
+ "sequence_parallel_size": 1,
221
+ "response_prefix": null,
222
+ "template_backend": "swift",
223
+ "dataset": [
224
+ "androidcontrol_next_page_fix_train"
225
+ ],
226
+ "val_dataset": [
227
+ "androidcontrol_next_page_fix_val_1000"
228
+ ],
229
+ "split_dataset_ratio": 0.0,
230
+ "dataset_num_proc": 1,
231
+ "load_from_cache_file": true,
232
+ "dataset_shuffle": true,
233
+ "val_dataset_shuffle": false,
234
+ "streaming": false,
235
+ "interleave_prob": null,
236
+ "stopping_strategy": "first_exhausted",
237
+ "shuffle_buffer_size": 1000,
238
+ "download_mode": "reuse_dataset_if_exists",
239
+ "columns": {},
240
+ "strict": false,
241
+ "model_name": null,
242
+ "model_author": null,
243
+ "custom_dataset_info": [
244
+ "/vlm-ssd/syc/swift/scripts/syc/syc_dataset_info_fix.json"
245
+ ],
246
+ "quant_method": null,
247
+ "quant_bits": null,
248
+ "hqq_axis": null,
249
+ "bnb_4bit_compute_dtype": "bfloat16",
250
+ "bnb_4bit_quant_type": "nf4",
251
+ "bnb_4bit_use_double_quant": true,
252
+ "bnb_4bit_quant_storage": null,
253
+ "max_new_tokens": 64,
254
+ "temperature": 0.0,
255
+ "top_k": null,
256
+ "top_p": null,
257
+ "repetition_penalty": null,
258
+ "num_beams": 1,
259
+ "stream": false,
260
+ "stop_words": [],
261
+ "logprobs": false,
262
+ "top_logprobs": null,
263
+ "ckpt_dir": null,
264
+ "lora_modules": [],
265
+ "train_type": "lora",
266
+ "adapters": [],
267
+ "external_plugins": [],
268
+ "model_kwargs": {},
269
+ "load_args": false,
270
+ "load_data_args": false,
271
+ "packing": false,
272
+ "packing_length": null,
273
+ "lazy_tokenize": true,
274
+ "cached_dataset": [],
275
+ "custom_register_path": [],
276
+ "use_hf": false,
277
+ "ignore_args_error": false,
278
+ "use_swift_lora": false,
279
+ "freeze_parameters": [],
280
+ "freeze_parameters_regex": null,
281
+ "freeze_parameters_ratio": 0.0,
282
+ "trainable_parameters": [],
283
+ "trainable_parameters_regex": null,
284
+ "freeze_llm": false,
285
+ "freeze_vit": true,
286
+ "freeze_aligner": true,
287
+ "target_modules": [
288
+ "all-linear"
289
+ ],
290
+ "target_regex": null,
291
+ "target_parameters": null,
292
+ "modules_to_save": [],
293
+ "lora_rank": 16,
294
+ "lora_alpha": 64,
295
+ "lora_dropout": 0.05,
296
+ "lora_bias": "none",
297
+ "lora_dtype": null,
298
+ "lorap_lr_ratio": null,
299
+ "use_rslora": false,
300
+ "use_dora": false,
301
+ "lora_ga_batch_size": 2,
302
+ "lora_ga_iters": 2,
303
+ "lora_ga_max_length": 1024,
304
+ "lora_ga_direction": "ArB2r",
305
+ "lora_ga_scale": "stable",
306
+ "lora_ga_stable_gamma": 16,
307
+ "init_weights": true,
308
+ "fourier_n_frequency": 2000,
309
+ "fourier_scaling": 300.0,
310
+ "boft_block_size": 4,
311
+ "boft_block_num": 0,
312
+ "boft_n_butterfly_factor": 1,
313
+ "boft_dropout": 0.0,
314
+ "vera_rank": 256,
315
+ "vera_projection_prng_key": 0,
316
+ "vera_dropout": 0.0,
317
+ "vera_d_initial": 0.1,
318
+ "adapter_act": "gelu",
319
+ "adapter_length": 128,
320
+ "use_galore": false,
321
+ "galore_target_modules": null,
322
+ "galore_rank": 128,
323
+ "galore_update_proj_gap": 50,
324
+ "galore_scale": 1.0,
325
+ "galore_proj_type": "std",
326
+ "galore_optim_per_parameter": false,
327
+ "galore_with_embedding": false,
328
+ "galore_quantization": false,
329
+ "galore_proj_quant": false,
330
+ "galore_proj_bits": 4,
331
+ "galore_proj_group_size": 256,
332
+ "galore_cos_threshold": 0.4,
333
+ "galore_gamma_proj": 2,
334
+ "galore_queue_size": 5,
335
+ "adalora_target_r": 8,
336
+ "adalora_init_r": 12,
337
+ "adalora_tinit": 0,
338
+ "adalora_tfinal": 0,
339
+ "adalora_deltaT": 1,
340
+ "adalora_beta1": 0.85,
341
+ "adalora_beta2": 0.85,
342
+ "adalora_orth_reg_weight": 0.5,
343
+ "llamapro_num_new_blocks": 4,
344
+ "llamapro_num_groups": null,
345
+ "lisa_activated_layers": 0,
346
+ "lisa_step_interval": 20,
347
+ "reft_layer_key": null,
348
+ "reft_layers": null,
349
+ "reft_rank": 4,
350
+ "reft_intervention_type": "LoreftIntervention",
351
+ "reft_args": null,
352
+ "swanlab_token": null,
353
+ "swanlab_project": null,
354
+ "swanlab_workspace": null,
355
+ "swanlab_exp_name": null,
356
+ "swanlab_lark_webhook_url": null,
357
+ "swanlab_lark_secret": null,
358
+ "swanlab_mode": "cloud",
359
+ "add_version": true,
360
+ "create_checkpoint_symlink": false,
361
+ "zero_hpz_partition_size": null,
362
+ "deepspeed_autotp_size": null,
363
+ "early_stop_interval": null,
364
+ "rank": 0,
365
+ "global_world_size": 8,
366
+ "local_world_size": 8,
367
+ "model_suffix": "qwen-2.5-vl-3b",
368
+ "model_info": "ModelInfo(model_type='qwen2_5_vl', model_dir='/mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b', torch_dtype=torch.bfloat16, max_model_len=128000, quant_method=None, quant_bits=None, rope_scaling={'type': 'default', 'mrope_section': [16, 24, 24], 'rope_type': 'default'}, is_moe_model=False, config=None, task_type='embedding', num_labels=None)",
369
+ "model_meta": "ModelMeta(model_type='qwen2_5_vl', model_groups=[ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[]), ModelGroup(models=[Model(ms_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-3B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-7B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-32B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None), Model(ms_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', hf_model_id='Qwen/Qwen2.5-VL-72B-Instruct-AWQ', model_path=None, ms_revision=None, hf_revision=None)], ignore_patterns=None, requires=None, tags=[])], template='qwen2_5_vl', get_function=<function get_model_tokenizer_qwen2_5_vl at 0x7f53500425f0>, model_arch=MultiModelKeys(arch_name='qwen2_vl', embedding=None, module_list=None, lm_head=None, q_proj=None, k_proj=None, v_proj=None, o_proj=None, attention=None, mlp=None, down_proj=None, qkv_proj=None, qk_proj=None, qa_proj=None, qb_proj=None, kv_proj=None, kva_proj=None, kvb_proj=None, language_model=['model.language_model', 'lm_head'], aligner=['model.visual.merger'], vision_tower=['model.visual'], generator=[]), architectures=['Qwen2_5_VLForConditionalGeneration'], additional_saved_files=[], torch_dtype=None, is_multimodal=True, is_reward=False, is_reranker=False, task_type=None, ignore_patterns=None, requires=['transformers>=4.49', 'qwen_vl_utils>=0.0.6', 'decord'], tags=['vision', 'video'])",
370
+ "model_dir": "/mnt/vlm-ks3/syc/models/qwen-2.5-vl-3b",
371
+ "hub": "<class 'swift.hub.hub.MSHub'>",
372
+ "evaluation_strategy": "no",
373
+ "training_args": "TrainingArguments(output_dir='/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006', overwrite_output_dir=False, do_train=False, do_eval=False, do_predict=False, eval_strategy=<IntervalStrategy.NO: 'no'>, prediction_loss_only=False, per_device_train_batch_size=2, per_device_eval_batch_size=1, gradient_accumulation_steps=1, eval_accumulation_steps=2, eval_delay=0, torch_empty_cache_steps=None, learning_rate=5e-05, weight_decay=0.1, adam_beta1=0.9, adam_beta2=0.95, adam_epsilon=1e-08, max_grad_norm=1.0, num_train_epochs=1.0, max_steps=20000, lr_scheduler_type=<SchedulerType.LINEAR: 'linear'>, lr_scheduler_kwargs=None, warmup_ratio=0.03, warmup_steps=0, log_level='passive', log_level_replica='warning', log_on_each_node=True, logging_dir='/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006/runs', logging_strategy=<IntervalStrategy.STEPS: 'steps'>, logging_first_step=True, logging_steps=10, logging_nan_inf_filter=True, save_strategy=<SaveStrategy.STEPS: 'steps'>, save_steps=500, save_total_limit=8, save_safetensors=True, save_on_each_node=False, save_only_model=False, restore_callback_states_from_checkpoint=False, use_cpu=False, seed=42, data_seed=42, jit_mode_eval=False, bf16=True, fp16=False, fp16_opt_level='O1', half_precision_backend='auto', bf16_full_eval=False, fp16_full_eval=False, tf32=None, local_rank=0, ddp_backend=None, tpu_num_cores=None, debug=[], dataloader_drop_last=True, eval_steps=None, dataloader_num_workers=8, dataloader_prefetch_factor=10, past_index=-1, run_name='/vlm-ssd/syc/swift/output/fix/next_page/v3-20251215-192006', disable_tqdm=False, remove_unused_columns=False, label_names=None, load_best_model_at_end=False, metric_for_best_model='loss', greater_is_better=False, ignore_data_skip=False, fsdp=[], fsdp_config={'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}, accelerator_config=AcceleratorConfig(split_batches=False, dispatch_batches=False, even_batches=True, use_seedable_sampler=True, non_blocking=False, gradient_accumulation_kwargs=None, use_configured_state=False), parallelism_config=None, deepspeed={'fp16': {'enabled': 'auto', 'loss_scale': 0, 'loss_scale_window': 1000, 'initial_scale_power': 16, 'hysteresis': 2, 'min_loss_scale': 1}, 'bf16': {'enabled': 'auto'}, 'zero_optimization': {'stage': 3, 'offload_optimizer': {'device': 'none', 'pin_memory': True}, 'offload_param': {'device': 'none', 'pin_memory': True}, 'overlap_comm': False, 'contiguous_gradients': True, 'sub_group_size': 1000000000.0, 'reduce_bucket_size': 'auto', 'zero_quantized_weights': False, 'zero_quantized_gradients': False, 'stage3_prefetch_bucket_size': 'auto', 'stage3_param_persistence_threshold': 'auto', 'stage3_max_live_parameters': 1000000000.0, 'stage3_max_reuse_distance': 1000000000.0, 'stage3_gather_16bit_weights_on_model_save': True}, 'gradient_accumulation_steps': 'auto', 'gradient_clipping': 'auto', 'steps_per_print': 2000, 'train_batch_size': 'auto', 'train_micro_batch_size_per_gpu': 'auto', 'wall_clock_breakdown': False}, label_smoothing_factor=0.0, optim=<OptimizerNames.ADAMW_TORCH_FUSED: 'adamw_torch_fused'>, optim_args=None, group_by_length=False, length_column_name='length', report_to=['tensorboard'], ddp_find_unused_parameters=None, ddp_bucket_cap_mb=None, ddp_broadcast_buffers=None, dataloader_pin_memory=True, dataloader_persistent_workers=False, skip_memory_metrics=True, use_legacy_prediction_loop=False, push_to_hub=False, resume_from_checkpoint=None, hub_model_id=None, hub_strategy=<HubStrategy.EVERY_SAVE: 'every_save'>, hub_token=None, hub_private_repo=None, hub_always_push=False, hub_revision=None, gradient_checkpointing=True, gradient_checkpointing_kwargs=None, include_for_metrics=[], eval_do_concat_batches=True, mp_parameters='', auto_find_batch_size=False, full_determinism=False, ray_scope='last', ddp_timeout=18000000, torch_compile=False, torch_compile_backend=None, torch_compile_mode=None, include_tokens_per_second=None, include_num_input_tokens_seen=None, neftune_noise_alpha=None, optim_target_modules=None, batch_eval_metrics=False, eval_on_start=False, use_liger_kernel=False, liger_kernel_config=None, eval_use_gather_object=False, average_tokens_across_devices=None, tuner_backend='peft', vit_gradient_checkpointing=True, router_aux_loss_coef=0.0, enable_dft_loss=False, enable_channel_loss=False, check_model=True, acc_strategy='token', train_dataloader_shuffle=True, max_epochs=None, aligner_lr=None, vit_lr=None, use_logits_to_keep=None, ds3_gather_for_generation=True, resume_only_model=False, optimizer=None, loss_type='infonce', metric=None, eval_use_evalscope=False, eval_dataset=[], eval_dataset_args=None, eval_limit=100, eval_generation_config=None, extra_eval_args=None, use_flash_ckpt=False, sft_alpha=0, chord_sft_dataset=[], chord_sft_per_device_train_batch_size=None, chord_enable_phi_function=False, chord_mu_warmup_steps=None, chord_mu_decay_steps=None, chord_mu_peak=None, chord_mu_valley=None, train_type='lora', local_repo_path=None, galore_config=None, padding_side='right', padding_free=False, task_type='embedding', problem_type=None)"
374
+ }
weights/phase1/androidcontrol/nextpage/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff