ifmanzhang commited on
Commit
312e3ff
·
verified ·
1 Parent(s): 67cab73

Prune redundant merged weights and intermediate checkpoints

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. finetune/checkpoints/checkpoint-192/README.md +0 -209
  2. finetune/checkpoints/checkpoint-192/adapter_config.json +0 -53
  3. finetune/checkpoints/checkpoint-192/adapter_model.safetensors +0 -3
  4. finetune/checkpoints/checkpoint-192/chat_template.jinja +0 -154
  5. finetune/checkpoints/checkpoint-192/optimizer.pt +0 -3
  6. finetune/checkpoints/checkpoint-192/rng_state.pth +0 -3
  7. finetune/checkpoints/checkpoint-192/scheduler.pt +0 -3
  8. finetune/checkpoints/checkpoint-192/tokenizer.json +0 -3
  9. finetune/checkpoints/checkpoint-192/tokenizer_config.json +0 -32
  10. finetune/checkpoints/checkpoint-192/trainer_state.json +0 -224
  11. finetune/checkpoints/checkpoint-192/training_args.bin +0 -3
  12. finetune/checkpoints/checkpoint-288/README.md +0 -209
  13. finetune/checkpoints/checkpoint-288/adapter_config.json +0 -53
  14. finetune/checkpoints/checkpoint-288/adapter_model.safetensors +0 -3
  15. finetune/checkpoints/checkpoint-288/chat_template.jinja +0 -154
  16. finetune/checkpoints/checkpoint-288/optimizer.pt +0 -3
  17. finetune/checkpoints/checkpoint-288/rng_state.pth +0 -3
  18. finetune/checkpoints/checkpoint-288/scheduler.pt +0 -3
  19. finetune/checkpoints/checkpoint-288/tokenizer.json +0 -3
  20. finetune/checkpoints/checkpoint-288/tokenizer_config.json +0 -32
  21. finetune/checkpoints/checkpoint-288/trainer_state.json +0 -314
  22. finetune/checkpoints/checkpoint-288/training_args.bin +0 -3
  23. finetune/checkpoints/checkpoint-96/README.md +0 -209
  24. finetune/checkpoints/checkpoint-96/adapter_config.json +0 -53
  25. finetune/checkpoints/checkpoint-96/adapter_model.safetensors +0 -3
  26. finetune/checkpoints/checkpoint-96/chat_template.jinja +0 -154
  27. finetune/checkpoints/checkpoint-96/optimizer.pt +0 -3
  28. finetune/checkpoints/checkpoint-96/rng_state.pth +0 -3
  29. finetune/checkpoints/checkpoint-96/scheduler.pt +0 -3
  30. finetune/checkpoints/checkpoint-96/tokenizer.json +0 -3
  31. finetune/checkpoints/checkpoint-96/tokenizer_config.json +0 -32
  32. finetune/checkpoints/checkpoint-96/trainer_state.json +0 -124
  33. finetune/checkpoints/checkpoint-96/training_args.bin +0 -3
  34. finetune/style_checkpoint/checkpoint-132/README.md +0 -209
  35. finetune/style_checkpoint/checkpoint-132/adapter_config.json +0 -53
  36. finetune/style_checkpoint/checkpoint-132/adapter_model.safetensors +0 -3
  37. finetune/style_checkpoint/checkpoint-132/chat_template.jinja +0 -154
  38. finetune/style_checkpoint/checkpoint-132/optimizer.pt +0 -3
  39. finetune/style_checkpoint/checkpoint-132/rng_state.pth +0 -3
  40. finetune/style_checkpoint/checkpoint-132/scheduler.pt +0 -3
  41. finetune/style_checkpoint/checkpoint-132/tokenizer.json +0 -3
  42. finetune/style_checkpoint/checkpoint-132/tokenizer_config.json +0 -32
  43. finetune/style_checkpoint/checkpoint-132/trainer_state.json +0 -164
  44. finetune/style_checkpoint/checkpoint-132/training_args.bin +0 -3
  45. finetune/style_checkpoint/checkpoint-44/README.md +0 -209
  46. finetune/style_checkpoint/checkpoint-44/adapter_config.json +0 -53
  47. finetune/style_checkpoint/checkpoint-44/adapter_model.safetensors +0 -3
  48. finetune/style_checkpoint/checkpoint-44/chat_template.jinja +0 -154
  49. finetune/style_checkpoint/checkpoint-44/optimizer.pt +0 -3
  50. finetune/style_checkpoint/checkpoint-44/rng_state.pth +0 -3
finetune/checkpoints/checkpoint-192/README.md DELETED
@@ -1,209 +0,0 @@
1
- ---
2
- base_model: Qwen/Qwen3.5-9B
3
- library_name: peft
4
- pipeline_tag: text-generation
5
- tags:
6
- - base_model:adapter:Qwen/Qwen3.5-9B
7
- - lora
8
- - sft
9
- - transformers
10
- - trl
11
- ---
12
-
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
176
- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
-
190
- ## Glossary [optional]
191
-
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
-
194
- [More Information Needed]
195
-
196
- ## More Information [optional]
197
-
198
- [More Information Needed]
199
-
200
- ## Model Card Authors [optional]
201
-
202
- [More Information Needed]
203
-
204
- ## Model Card Contact
205
-
206
- [More Information Needed]
207
- ### Framework versions
208
-
209
- - PEFT 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-192/adapter_config.json DELETED
@@ -1,53 +0,0 @@
1
- {
2
- "alora_invocation_tokens": null,
3
- "alpha_pattern": {},
4
- "arrow_config": null,
5
- "auto_mapping": null,
6
- "base_model_name_or_path": "Qwen/Qwen3.5-9B",
7
- "bias": "none",
8
- "corda_config": null,
9
- "ensure_weight_tying": false,
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": 32,
20
- "lora_bias": false,
21
- "lora_dropout": 0.05,
22
- "lora_ga_config": null,
23
- "megatron_config": null,
24
- "megatron_core": "megatron.core",
25
- "modules_to_save": null,
26
- "peft_type": "LORA",
27
- "peft_version": "0.19.1",
28
- "qalora_group_size": 16,
29
- "r": 16,
30
- "rank_pattern": {},
31
- "revision": null,
32
- "target_modules": [
33
- "up_proj",
34
- "k_proj",
35
- "o_proj",
36
- "v_proj",
37
- "out_proj",
38
- "in_proj_qkv",
39
- "in_proj_z",
40
- "in_proj_b",
41
- "down_proj",
42
- "q_proj",
43
- "gate_proj",
44
- "in_proj_a"
45
- ],
46
- "target_parameters": null,
47
- "task_type": "CAUSAL_LM",
48
- "trainable_token_indices": null,
49
- "use_bdlora": null,
50
- "use_dora": false,
51
- "use_qalora": false,
52
- "use_rslora": false
53
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-192/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:e07e0b5a0d2334b84ef4a982b94e1c2ef612da46da07cfe4930289e2855e5741
3
- size 86624424
 
 
 
 
finetune/checkpoints/checkpoint-192/chat_template.jinja DELETED
@@ -1,154 +0,0 @@
1
- {%- set image_count = namespace(value=0) %}
2
- {%- set video_count = namespace(value=0) %}
3
- {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
- {%- if content is string %}
5
- {{- content }}
6
- {%- elif content is iterable and content is not mapping %}
7
- {%- for item in content %}
8
- {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
- {%- if is_system_content %}
10
- {{- raise_exception('System message cannot contain images.') }}
11
- {%- endif %}
12
- {%- if do_vision_count %}
13
- {%- set image_count.value = image_count.value + 1 %}
14
- {%- endif %}
15
- {%- if add_vision_id %}
16
- {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
- {%- endif %}
18
- {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
- {%- elif 'video' in item or item.type == 'video' %}
20
- {%- if is_system_content %}
21
- {{- raise_exception('System message cannot contain videos.') }}
22
- {%- endif %}
23
- {%- if do_vision_count %}
24
- {%- set video_count.value = video_count.value + 1 %}
25
- {%- endif %}
26
- {%- if add_vision_id %}
27
- {{- 'Video ' ~ video_count.value ~ ': ' }}
28
- {%- endif %}
29
- {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
- {%- elif 'text' in item %}
31
- {{- item.text }}
32
- {%- else %}
33
- {{- raise_exception('Unexpected item type in content.') }}
34
- {%- endif %}
35
- {%- endfor %}
36
- {%- elif content is none or content is undefined %}
37
- {{- '' }}
38
- {%- else %}
39
- {{- raise_exception('Unexpected content type.') }}
40
- {%- endif %}
41
- {%- endmacro %}
42
- {%- if not messages %}
43
- {{- raise_exception('No messages provided.') }}
44
- {%- endif %}
45
- {%- if tools and tools is iterable and tools is not mapping %}
46
- {{- '<|im_start|>system\n' }}
47
- {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
- {%- for tool in tools %}
49
- {{- "\n" }}
50
- {{- tool | tojson }}
51
- {%- endfor %}
52
- {{- "\n</tools>" }}
53
- {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
- {%- if messages[0].role == 'system' %}
55
- {%- set content = render_content(messages[0].content, false, true)|trim %}
56
- {%- if content %}
57
- {{- '\n\n' + content }}
58
- {%- endif %}
59
- {%- endif %}
60
- {{- '<|im_end|>\n' }}
61
- {%- else %}
62
- {%- if messages[0].role == 'system' %}
63
- {%- set content = render_content(messages[0].content, false, true)|trim %}
64
- {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
- {%- endif %}
66
- {%- endif %}
67
- {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
- {%- for message in messages[::-1] %}
69
- {%- set index = (messages|length - 1) - loop.index0 %}
70
- {%- if ns.multi_step_tool and message.role == "user" %}
71
- {%- set content = render_content(message.content, false)|trim %}
72
- {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
- {%- set ns.multi_step_tool = false %}
74
- {%- set ns.last_query_index = index %}
75
- {%- endif %}
76
- {%- endif %}
77
- {%- endfor %}
78
- {%- if ns.multi_step_tool %}
79
- {{- raise_exception('No user query found in messages.') }}
80
- {%- endif %}
81
- {%- for message in messages %}
82
- {%- set content = render_content(message.content, true)|trim %}
83
- {%- if message.role == "system" %}
84
- {%- if not loop.first %}
85
- {{- raise_exception('System message must be at the beginning.') }}
86
- {%- endif %}
87
- {%- elif message.role == "user" %}
88
- {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
- {%- elif message.role == "assistant" %}
90
- {%- set reasoning_content = '' %}
91
- {%- if message.reasoning_content is string %}
92
- {%- set reasoning_content = message.reasoning_content %}
93
- {%- else %}
94
- {%- if '</think>' in content %}
95
- {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
- {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
- {%- endif %}
98
- {%- endif %}
99
- {%- set reasoning_content = reasoning_content|trim %}
100
- {%- if loop.index0 > ns.last_query_index %}
101
- {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
- {%- else %}
103
- {{- '<|im_start|>' + message.role + '\n' + content }}
104
- {%- endif %}
105
- {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
- {%- for tool_call in message.tool_calls %}
107
- {%- if tool_call.function is defined %}
108
- {%- set tool_call = tool_call.function %}
109
- {%- endif %}
110
- {%- if loop.first %}
111
- {%- if content|trim %}
112
- {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
- {%- else %}
114
- {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
- {%- endif %}
116
- {%- else %}
117
- {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
- {%- endif %}
119
- {%- if tool_call.arguments is defined %}
120
- {%- for args_name, args_value in tool_call.arguments|items %}
121
- {{- '<parameter=' + args_name + '>\n' }}
122
- {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
- {{- args_value }}
124
- {{- '\n</parameter>\n' }}
125
- {%- endfor %}
126
- {%- endif %}
127
- {{- '</function>\n</tool_call>' }}
128
- {%- endfor %}
129
- {%- endif %}
130
- {{- '<|im_end|>\n' }}
131
- {%- elif message.role == "tool" %}
132
- {%- if loop.previtem and loop.previtem.role != "tool" %}
133
- {{- '<|im_start|>user' }}
134
- {%- endif %}
135
- {{- '\n<tool_response>\n' }}
136
- {{- content }}
137
- {{- '\n</tool_response>' }}
138
- {%- if not loop.last and loop.nextitem.role != "tool" %}
139
- {{- '<|im_end|>\n' }}
140
- {%- elif loop.last %}
141
- {{- '<|im_end|>\n' }}
142
- {%- endif %}
143
- {%- else %}
144
- {{- raise_exception('Unexpected message role.') }}
145
- {%- endif %}
146
- {%- endfor %}
147
- {%- if add_generation_prompt %}
148
- {{- '<|im_start|>assistant\n' }}
149
- {%- if enable_thinking is defined and enable_thinking is false %}
150
- {{- '<think>\n\n</think>\n\n' }}
151
- {%- else %}
152
- {{- '<think>\n' }}
153
- {%- endif %}
154
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-192/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:d1524a0b0fe341db800227e4b99364b7b34f4716e82f57b5f64bb72453ed6f30
3
- size 173539507
 
 
 
 
finetune/checkpoints/checkpoint-192/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:7867f112d09bb82ff1c3b176d45ad04fc116373ec5e870377e2c4ed1ad92f934
3
- size 14645
 
 
 
 
finetune/checkpoints/checkpoint-192/scheduler.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:fa84f260a89ac768c794df2a0bc4940cdffb529c8e321e51dfbdb2e00433d23c
3
- size 1465
 
 
 
 
finetune/checkpoints/checkpoint-192/tokenizer.json DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
- size 19989325
 
 
 
 
finetune/checkpoints/checkpoint-192/tokenizer_config.json DELETED
@@ -1,32 +0,0 @@
1
- {
2
- "add_prefix_space": false,
3
- "audio_bos_token": "<|audio_start|>",
4
- "audio_eos_token": "<|audio_end|>",
5
- "audio_token": "<|audio_pad|>",
6
- "backend": "tokenizers",
7
- "bos_token": null,
8
- "clean_up_tokenization_spaces": false,
9
- "eos_token": "<|im_end|>",
10
- "errors": "replace",
11
- "image_token": "<|image_pad|>",
12
- "is_local": false,
13
- "local_files_only": false,
14
- "model_max_length": 262144,
15
- "model_specific_special_tokens": {
16
- "audio_bos_token": "<|audio_start|>",
17
- "audio_eos_token": "<|audio_end|>",
18
- "audio_token": "<|audio_pad|>",
19
- "image_token": "<|image_pad|>",
20
- "video_token": "<|video_pad|>",
21
- "vision_bos_token": "<|vision_start|>",
22
- "vision_eos_token": "<|vision_end|>"
23
- },
24
- "pad_token": "<|endoftext|>",
25
- "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
26
- "split_special_tokens": false,
27
- "tokenizer_class": "Qwen2Tokenizer",
28
- "unk_token": null,
29
- "video_token": "<|video_pad|>",
30
- "vision_bos_token": "<|vision_start|>",
31
- "vision_eos_token": "<|vision_end|>"
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-192/trainer_state.json DELETED
@@ -1,224 +0,0 @@
1
- {
2
- "best_global_step": null,
3
- "best_metric": null,
4
- "best_model_checkpoint": null,
5
- "epoch": 2.0,
6
- "eval_steps": 500,
7
- "global_step": 192,
8
- "is_hyper_param_search": false,
9
- "is_local_process_zero": true,
10
- "is_world_process_zero": true,
11
- "log_history": [
12
- {
13
- "entropy": 1.5058588825166226,
14
- "epoch": 0.10512483574244415,
15
- "grad_norm": 1.796875,
16
- "learning_rate": 0.00019375000000000002,
17
- "loss": 1.7537630081176758,
18
- "mean_token_accuracy": 0.695327178388834,
19
- "num_tokens": 3808.0,
20
- "step": 10
21
- },
22
- {
23
- "entropy": 1.316319726407528,
24
- "epoch": 0.2102496714848883,
25
- "grad_norm": 1.390625,
26
- "learning_rate": 0.00018680555555555556,
27
- "loss": 1.4752570152282716,
28
- "mean_token_accuracy": 0.7272207736968994,
29
- "num_tokens": 7522.0,
30
- "step": 20
31
- },
32
- {
33
- "entropy": 1.3150447681546211,
34
- "epoch": 0.31537450722733246,
35
- "grad_norm": 1.3984375,
36
- "learning_rate": 0.00017986111111111113,
37
- "loss": 1.404660415649414,
38
- "mean_token_accuracy": 0.7220224224030971,
39
- "num_tokens": 11407.0,
40
- "step": 30
41
- },
42
- {
43
- "entropy": 1.225712712854147,
44
- "epoch": 0.4204993429697766,
45
- "grad_norm": 1.140625,
46
- "learning_rate": 0.00017291666666666668,
47
- "loss": 1.3144322395324708,
48
- "mean_token_accuracy": 0.7446377977728844,
49
- "num_tokens": 15194.0,
50
- "step": 40
51
- },
52
- {
53
- "entropy": 1.3306574214249849,
54
- "epoch": 0.5256241787122208,
55
- "grad_norm": 1.390625,
56
- "learning_rate": 0.00016597222222222225,
57
- "loss": 1.442171287536621,
58
- "mean_token_accuracy": 0.7188469670712948,
59
- "num_tokens": 19221.0,
60
- "step": 50
61
- },
62
- {
63
- "entropy": 1.2213972710072993,
64
- "epoch": 0.6307490144546649,
65
- "grad_norm": 1.25,
66
- "learning_rate": 0.00015902777777777776,
67
- "loss": 1.3555883407592773,
68
- "mean_token_accuracy": 0.7323203787207604,
69
- "num_tokens": 23135.0,
70
- "step": 60
71
- },
72
- {
73
- "entropy": 1.236185147613287,
74
- "epoch": 0.735873850197109,
75
- "grad_norm": 1.2890625,
76
- "learning_rate": 0.00015208333333333333,
77
- "loss": 1.3239954948425292,
78
- "mean_token_accuracy": 0.7413535274565219,
79
- "num_tokens": 26938.0,
80
- "step": 70
81
- },
82
- {
83
- "entropy": 1.1433476515114307,
84
- "epoch": 0.8409986859395532,
85
- "grad_norm": 1.1875,
86
- "learning_rate": 0.00014513888888888888,
87
- "loss": 1.2469322204589843,
88
- "mean_token_accuracy": 0.7549085400998592,
89
- "num_tokens": 30527.0,
90
- "step": 80
91
- },
92
- {
93
- "entropy": 1.283092799782753,
94
- "epoch": 0.9461235216819974,
95
- "grad_norm": 1.21875,
96
- "learning_rate": 0.00013819444444444445,
97
- "loss": 1.4147074699401856,
98
- "mean_token_accuracy": 0.7189013145864009,
99
- "num_tokens": 34654.0,
100
- "step": 90
101
- },
102
- {
103
- "entropy": 1.2251756056530836,
104
- "epoch": 1.0420499342969776,
105
- "grad_norm": 1.0078125,
106
- "learning_rate": 0.00013125000000000002,
107
- "loss": 1.1694912910461426,
108
- "mean_token_accuracy": 0.75513191827356,
109
- "num_tokens": 38292.0,
110
- "step": 100
111
- },
112
- {
113
- "entropy": 0.9808842208236456,
114
- "epoch": 1.1471747700394217,
115
- "grad_norm": 1.390625,
116
- "learning_rate": 0.00012430555555555556,
117
- "loss": 0.9646660804748535,
118
- "mean_token_accuracy": 0.7965455286204814,
119
- "num_tokens": 42119.0,
120
- "step": 110
121
- },
122
- {
123
- "entropy": 0.895855213701725,
124
- "epoch": 1.2522996057818658,
125
- "grad_norm": 1.625,
126
- "learning_rate": 0.00011736111111111112,
127
- "loss": 0.9326272964477539,
128
- "mean_token_accuracy": 0.7989173181354999,
129
- "num_tokens": 46121.0,
130
- "step": 120
131
- },
132
- {
133
- "entropy": 0.8705711856484413,
134
- "epoch": 1.3574244415243102,
135
- "grad_norm": 1.8125,
136
- "learning_rate": 0.00011041666666666668,
137
- "loss": 0.8961386680603027,
138
- "mean_token_accuracy": 0.8044699378311634,
139
- "num_tokens": 50090.0,
140
- "step": 130
141
- },
142
- {
143
- "entropy": 0.8594769395887851,
144
- "epoch": 1.4625492772667543,
145
- "grad_norm": 1.6171875,
146
- "learning_rate": 0.00010347222222222223,
147
- "loss": 0.8508189201354981,
148
- "mean_token_accuracy": 0.8186739608645439,
149
- "num_tokens": 53919.0,
150
- "step": 140
151
- },
152
- {
153
- "entropy": 0.8401138111948967,
154
- "epoch": 1.5676741130091985,
155
- "grad_norm": 1.7578125,
156
- "learning_rate": 9.652777777777779e-05,
157
- "loss": 0.8900316238403321,
158
- "mean_token_accuracy": 0.8109646178781986,
159
- "num_tokens": 57865.0,
160
- "step": 150
161
- },
162
- {
163
- "entropy": 0.8799884164705872,
164
- "epoch": 1.6727989487516426,
165
- "grad_norm": 1.9765625,
166
- "learning_rate": 8.958333333333335e-05,
167
- "loss": 0.8930209159851075,
168
- "mean_token_accuracy": 0.8081811979413033,
169
- "num_tokens": 61745.0,
170
- "step": 160
171
- },
172
- {
173
- "entropy": 0.8651461038738489,
174
- "epoch": 1.7779237844940867,
175
- "grad_norm": 1.625,
176
- "learning_rate": 8.263888888888889e-05,
177
- "loss": 0.870454978942871,
178
- "mean_token_accuracy": 0.8074543043971062,
179
- "num_tokens": 65643.0,
180
- "step": 170
181
- },
182
- {
183
- "entropy": 0.8021717140451073,
184
- "epoch": 1.8830486202365309,
185
- "grad_norm": 2.109375,
186
- "learning_rate": 7.569444444444445e-05,
187
- "loss": 0.8372815132141114,
188
- "mean_token_accuracy": 0.8185677900910378,
189
- "num_tokens": 69253.0,
190
- "step": 180
191
- },
192
- {
193
- "entropy": 0.8461722563952208,
194
- "epoch": 1.988173455978975,
195
- "grad_norm": 1.9609375,
196
- "learning_rate": 6.875e-05,
197
- "loss": 0.8477604866027832,
198
- "mean_token_accuracy": 0.821676817536354,
199
- "num_tokens": 73086.0,
200
- "step": 190
201
- }
202
- ],
203
- "logging_steps": 10,
204
- "max_steps": 288,
205
- "num_input_tokens_seen": 0,
206
- "num_train_epochs": 3,
207
- "save_steps": 500,
208
- "stateful_callbacks": {
209
- "TrainerControl": {
210
- "args": {
211
- "should_epoch_stop": false,
212
- "should_evaluate": false,
213
- "should_log": false,
214
- "should_save": true,
215
- "should_training_stop": false
216
- },
217
- "attributes": {}
218
- }
219
- },
220
- "total_flos": 3517439958097920.0,
221
- "train_batch_size": 1,
222
- "trial_name": null,
223
- "trial_params": null
224
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-192/training_args.bin DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:80c77319107d515ff120e1a03ba8bd1c939446a417590eaef8b1b3111fab5416
3
- size 5777
 
 
 
 
finetune/checkpoints/checkpoint-288/README.md DELETED
@@ -1,209 +0,0 @@
1
- ---
2
- base_model: Qwen/Qwen3.5-9B
3
- library_name: peft
4
- pipeline_tag: text-generation
5
- tags:
6
- - base_model:adapter:Qwen/Qwen3.5-9B
7
- - lora
8
- - sft
9
- - transformers
10
- - trl
11
- ---
12
-
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
176
- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
-
190
- ## Glossary [optional]
191
-
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
-
194
- [More Information Needed]
195
-
196
- ## More Information [optional]
197
-
198
- [More Information Needed]
199
-
200
- ## Model Card Authors [optional]
201
-
202
- [More Information Needed]
203
-
204
- ## Model Card Contact
205
-
206
- [More Information Needed]
207
- ### Framework versions
208
-
209
- - PEFT 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-288/adapter_config.json DELETED
@@ -1,53 +0,0 @@
1
- {
2
- "alora_invocation_tokens": null,
3
- "alpha_pattern": {},
4
- "arrow_config": null,
5
- "auto_mapping": null,
6
- "base_model_name_or_path": "Qwen/Qwen3.5-9B",
7
- "bias": "none",
8
- "corda_config": null,
9
- "ensure_weight_tying": false,
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": 32,
20
- "lora_bias": false,
21
- "lora_dropout": 0.05,
22
- "lora_ga_config": null,
23
- "megatron_config": null,
24
- "megatron_core": "megatron.core",
25
- "modules_to_save": null,
26
- "peft_type": "LORA",
27
- "peft_version": "0.19.1",
28
- "qalora_group_size": 16,
29
- "r": 16,
30
- "rank_pattern": {},
31
- "revision": null,
32
- "target_modules": [
33
- "up_proj",
34
- "k_proj",
35
- "o_proj",
36
- "v_proj",
37
- "out_proj",
38
- "in_proj_qkv",
39
- "in_proj_z",
40
- "in_proj_b",
41
- "down_proj",
42
- "q_proj",
43
- "gate_proj",
44
- "in_proj_a"
45
- ],
46
- "target_parameters": null,
47
- "task_type": "CAUSAL_LM",
48
- "trainable_token_indices": null,
49
- "use_bdlora": null,
50
- "use_dora": false,
51
- "use_qalora": false,
52
- "use_rslora": false
53
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-288/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:7d88cb1cdd1237abdb5933ccf30096da0861d6ac0874c743f5de09abd5293c06
3
- size 86624424
 
 
 
 
finetune/checkpoints/checkpoint-288/chat_template.jinja DELETED
@@ -1,154 +0,0 @@
1
- {%- set image_count = namespace(value=0) %}
2
- {%- set video_count = namespace(value=0) %}
3
- {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
- {%- if content is string %}
5
- {{- content }}
6
- {%- elif content is iterable and content is not mapping %}
7
- {%- for item in content %}
8
- {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
- {%- if is_system_content %}
10
- {{- raise_exception('System message cannot contain images.') }}
11
- {%- endif %}
12
- {%- if do_vision_count %}
13
- {%- set image_count.value = image_count.value + 1 %}
14
- {%- endif %}
15
- {%- if add_vision_id %}
16
- {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
- {%- endif %}
18
- {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
- {%- elif 'video' in item or item.type == 'video' %}
20
- {%- if is_system_content %}
21
- {{- raise_exception('System message cannot contain videos.') }}
22
- {%- endif %}
23
- {%- if do_vision_count %}
24
- {%- set video_count.value = video_count.value + 1 %}
25
- {%- endif %}
26
- {%- if add_vision_id %}
27
- {{- 'Video ' ~ video_count.value ~ ': ' }}
28
- {%- endif %}
29
- {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
- {%- elif 'text' in item %}
31
- {{- item.text }}
32
- {%- else %}
33
- {{- raise_exception('Unexpected item type in content.') }}
34
- {%- endif %}
35
- {%- endfor %}
36
- {%- elif content is none or content is undefined %}
37
- {{- '' }}
38
- {%- else %}
39
- {{- raise_exception('Unexpected content type.') }}
40
- {%- endif %}
41
- {%- endmacro %}
42
- {%- if not messages %}
43
- {{- raise_exception('No messages provided.') }}
44
- {%- endif %}
45
- {%- if tools and tools is iterable and tools is not mapping %}
46
- {{- '<|im_start|>system\n' }}
47
- {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
- {%- for tool in tools %}
49
- {{- "\n" }}
50
- {{- tool | tojson }}
51
- {%- endfor %}
52
- {{- "\n</tools>" }}
53
- {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
- {%- if messages[0].role == 'system' %}
55
- {%- set content = render_content(messages[0].content, false, true)|trim %}
56
- {%- if content %}
57
- {{- '\n\n' + content }}
58
- {%- endif %}
59
- {%- endif %}
60
- {{- '<|im_end|>\n' }}
61
- {%- else %}
62
- {%- if messages[0].role == 'system' %}
63
- {%- set content = render_content(messages[0].content, false, true)|trim %}
64
- {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
- {%- endif %}
66
- {%- endif %}
67
- {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
- {%- for message in messages[::-1] %}
69
- {%- set index = (messages|length - 1) - loop.index0 %}
70
- {%- if ns.multi_step_tool and message.role == "user" %}
71
- {%- set content = render_content(message.content, false)|trim %}
72
- {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
- {%- set ns.multi_step_tool = false %}
74
- {%- set ns.last_query_index = index %}
75
- {%- endif %}
76
- {%- endif %}
77
- {%- endfor %}
78
- {%- if ns.multi_step_tool %}
79
- {{- raise_exception('No user query found in messages.') }}
80
- {%- endif %}
81
- {%- for message in messages %}
82
- {%- set content = render_content(message.content, true)|trim %}
83
- {%- if message.role == "system" %}
84
- {%- if not loop.first %}
85
- {{- raise_exception('System message must be at the beginning.') }}
86
- {%- endif %}
87
- {%- elif message.role == "user" %}
88
- {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
- {%- elif message.role == "assistant" %}
90
- {%- set reasoning_content = '' %}
91
- {%- if message.reasoning_content is string %}
92
- {%- set reasoning_content = message.reasoning_content %}
93
- {%- else %}
94
- {%- if '</think>' in content %}
95
- {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
- {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
- {%- endif %}
98
- {%- endif %}
99
- {%- set reasoning_content = reasoning_content|trim %}
100
- {%- if loop.index0 > ns.last_query_index %}
101
- {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
- {%- else %}
103
- {{- '<|im_start|>' + message.role + '\n' + content }}
104
- {%- endif %}
105
- {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
- {%- for tool_call in message.tool_calls %}
107
- {%- if tool_call.function is defined %}
108
- {%- set tool_call = tool_call.function %}
109
- {%- endif %}
110
- {%- if loop.first %}
111
- {%- if content|trim %}
112
- {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
- {%- else %}
114
- {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
- {%- endif %}
116
- {%- else %}
117
- {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
- {%- endif %}
119
- {%- if tool_call.arguments is defined %}
120
- {%- for args_name, args_value in tool_call.arguments|items %}
121
- {{- '<parameter=' + args_name + '>\n' }}
122
- {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
- {{- args_value }}
124
- {{- '\n</parameter>\n' }}
125
- {%- endfor %}
126
- {%- endif %}
127
- {{- '</function>\n</tool_call>' }}
128
- {%- endfor %}
129
- {%- endif %}
130
- {{- '<|im_end|>\n' }}
131
- {%- elif message.role == "tool" %}
132
- {%- if loop.previtem and loop.previtem.role != "tool" %}
133
- {{- '<|im_start|>user' }}
134
- {%- endif %}
135
- {{- '\n<tool_response>\n' }}
136
- {{- content }}
137
- {{- '\n</tool_response>' }}
138
- {%- if not loop.last and loop.nextitem.role != "tool" %}
139
- {{- '<|im_end|>\n' }}
140
- {%- elif loop.last %}
141
- {{- '<|im_end|>\n' }}
142
- {%- endif %}
143
- {%- else %}
144
- {{- raise_exception('Unexpected message role.') }}
145
- {%- endif %}
146
- {%- endfor %}
147
- {%- if add_generation_prompt %}
148
- {{- '<|im_start|>assistant\n' }}
149
- {%- if enable_thinking is defined and enable_thinking is false %}
150
- {{- '<think>\n\n</think>\n\n' }}
151
- {%- else %}
152
- {{- '<think>\n' }}
153
- {%- endif %}
154
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-288/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:189edcd603f7bbddb01c5754b74224f95ea9def898c5f111090bc5b61d82ebe1
3
- size 173539507
 
 
 
 
finetune/checkpoints/checkpoint-288/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:c1de14d45bf40451ecad8cc71ddb5f3014594537a7f4f59d093126e25120b911
3
- size 14645
 
 
 
 
finetune/checkpoints/checkpoint-288/scheduler.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:db65c34a575612e43bcfbbcdee111aa92a8a1578c29689cbfb7e5bcc00cf526d
3
- size 1465
 
 
 
 
finetune/checkpoints/checkpoint-288/tokenizer.json DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
- size 19989325
 
 
 
 
finetune/checkpoints/checkpoint-288/tokenizer_config.json DELETED
@@ -1,32 +0,0 @@
1
- {
2
- "add_prefix_space": false,
3
- "audio_bos_token": "<|audio_start|>",
4
- "audio_eos_token": "<|audio_end|>",
5
- "audio_token": "<|audio_pad|>",
6
- "backend": "tokenizers",
7
- "bos_token": null,
8
- "clean_up_tokenization_spaces": false,
9
- "eos_token": "<|im_end|>",
10
- "errors": "replace",
11
- "image_token": "<|image_pad|>",
12
- "is_local": false,
13
- "local_files_only": false,
14
- "model_max_length": 262144,
15
- "model_specific_special_tokens": {
16
- "audio_bos_token": "<|audio_start|>",
17
- "audio_eos_token": "<|audio_end|>",
18
- "audio_token": "<|audio_pad|>",
19
- "image_token": "<|image_pad|>",
20
- "video_token": "<|video_pad|>",
21
- "vision_bos_token": "<|vision_start|>",
22
- "vision_eos_token": "<|vision_end|>"
23
- },
24
- "pad_token": "<|endoftext|>",
25
- "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
26
- "split_special_tokens": false,
27
- "tokenizer_class": "Qwen2Tokenizer",
28
- "unk_token": null,
29
- "video_token": "<|video_pad|>",
30
- "vision_bos_token": "<|vision_start|>",
31
- "vision_eos_token": "<|vision_end|>"
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-288/trainer_state.json DELETED
@@ -1,314 +0,0 @@
1
- {
2
- "best_global_step": null,
3
- "best_metric": null,
4
- "best_model_checkpoint": null,
5
- "epoch": 3.0,
6
- "eval_steps": 500,
7
- "global_step": 288,
8
- "is_hyper_param_search": false,
9
- "is_local_process_zero": true,
10
- "is_world_process_zero": true,
11
- "log_history": [
12
- {
13
- "entropy": 1.5058588825166226,
14
- "epoch": 0.10512483574244415,
15
- "grad_norm": 1.796875,
16
- "learning_rate": 0.00019375000000000002,
17
- "loss": 1.7537630081176758,
18
- "mean_token_accuracy": 0.695327178388834,
19
- "num_tokens": 3808.0,
20
- "step": 10
21
- },
22
- {
23
- "entropy": 1.316319726407528,
24
- "epoch": 0.2102496714848883,
25
- "grad_norm": 1.390625,
26
- "learning_rate": 0.00018680555555555556,
27
- "loss": 1.4752570152282716,
28
- "mean_token_accuracy": 0.7272207736968994,
29
- "num_tokens": 7522.0,
30
- "step": 20
31
- },
32
- {
33
- "entropy": 1.3150447681546211,
34
- "epoch": 0.31537450722733246,
35
- "grad_norm": 1.3984375,
36
- "learning_rate": 0.00017986111111111113,
37
- "loss": 1.404660415649414,
38
- "mean_token_accuracy": 0.7220224224030971,
39
- "num_tokens": 11407.0,
40
- "step": 30
41
- },
42
- {
43
- "entropy": 1.225712712854147,
44
- "epoch": 0.4204993429697766,
45
- "grad_norm": 1.140625,
46
- "learning_rate": 0.00017291666666666668,
47
- "loss": 1.3144322395324708,
48
- "mean_token_accuracy": 0.7446377977728844,
49
- "num_tokens": 15194.0,
50
- "step": 40
51
- },
52
- {
53
- "entropy": 1.3306574214249849,
54
- "epoch": 0.5256241787122208,
55
- "grad_norm": 1.390625,
56
- "learning_rate": 0.00016597222222222225,
57
- "loss": 1.442171287536621,
58
- "mean_token_accuracy": 0.7188469670712948,
59
- "num_tokens": 19221.0,
60
- "step": 50
61
- },
62
- {
63
- "entropy": 1.2213972710072993,
64
- "epoch": 0.6307490144546649,
65
- "grad_norm": 1.25,
66
- "learning_rate": 0.00015902777777777776,
67
- "loss": 1.3555883407592773,
68
- "mean_token_accuracy": 0.7323203787207604,
69
- "num_tokens": 23135.0,
70
- "step": 60
71
- },
72
- {
73
- "entropy": 1.236185147613287,
74
- "epoch": 0.735873850197109,
75
- "grad_norm": 1.2890625,
76
- "learning_rate": 0.00015208333333333333,
77
- "loss": 1.3239954948425292,
78
- "mean_token_accuracy": 0.7413535274565219,
79
- "num_tokens": 26938.0,
80
- "step": 70
81
- },
82
- {
83
- "entropy": 1.1433476515114307,
84
- "epoch": 0.8409986859395532,
85
- "grad_norm": 1.1875,
86
- "learning_rate": 0.00014513888888888888,
87
- "loss": 1.2469322204589843,
88
- "mean_token_accuracy": 0.7549085400998592,
89
- "num_tokens": 30527.0,
90
- "step": 80
91
- },
92
- {
93
- "entropy": 1.283092799782753,
94
- "epoch": 0.9461235216819974,
95
- "grad_norm": 1.21875,
96
- "learning_rate": 0.00013819444444444445,
97
- "loss": 1.4147074699401856,
98
- "mean_token_accuracy": 0.7189013145864009,
99
- "num_tokens": 34654.0,
100
- "step": 90
101
- },
102
- {
103
- "entropy": 1.2251756056530836,
104
- "epoch": 1.0420499342969776,
105
- "grad_norm": 1.0078125,
106
- "learning_rate": 0.00013125000000000002,
107
- "loss": 1.1694912910461426,
108
- "mean_token_accuracy": 0.75513191827356,
109
- "num_tokens": 38292.0,
110
- "step": 100
111
- },
112
- {
113
- "entropy": 0.9808842208236456,
114
- "epoch": 1.1471747700394217,
115
- "grad_norm": 1.390625,
116
- "learning_rate": 0.00012430555555555556,
117
- "loss": 0.9646660804748535,
118
- "mean_token_accuracy": 0.7965455286204814,
119
- "num_tokens": 42119.0,
120
- "step": 110
121
- },
122
- {
123
- "entropy": 0.895855213701725,
124
- "epoch": 1.2522996057818658,
125
- "grad_norm": 1.625,
126
- "learning_rate": 0.00011736111111111112,
127
- "loss": 0.9326272964477539,
128
- "mean_token_accuracy": 0.7989173181354999,
129
- "num_tokens": 46121.0,
130
- "step": 120
131
- },
132
- {
133
- "entropy": 0.8705711856484413,
134
- "epoch": 1.3574244415243102,
135
- "grad_norm": 1.8125,
136
- "learning_rate": 0.00011041666666666668,
137
- "loss": 0.8961386680603027,
138
- "mean_token_accuracy": 0.8044699378311634,
139
- "num_tokens": 50090.0,
140
- "step": 130
141
- },
142
- {
143
- "entropy": 0.8594769395887851,
144
- "epoch": 1.4625492772667543,
145
- "grad_norm": 1.6171875,
146
- "learning_rate": 0.00010347222222222223,
147
- "loss": 0.8508189201354981,
148
- "mean_token_accuracy": 0.8186739608645439,
149
- "num_tokens": 53919.0,
150
- "step": 140
151
- },
152
- {
153
- "entropy": 0.8401138111948967,
154
- "epoch": 1.5676741130091985,
155
- "grad_norm": 1.7578125,
156
- "learning_rate": 9.652777777777779e-05,
157
- "loss": 0.8900316238403321,
158
- "mean_token_accuracy": 0.8109646178781986,
159
- "num_tokens": 57865.0,
160
- "step": 150
161
- },
162
- {
163
- "entropy": 0.8799884164705872,
164
- "epoch": 1.6727989487516426,
165
- "grad_norm": 1.9765625,
166
- "learning_rate": 8.958333333333335e-05,
167
- "loss": 0.8930209159851075,
168
- "mean_token_accuracy": 0.8081811979413033,
169
- "num_tokens": 61745.0,
170
- "step": 160
171
- },
172
- {
173
- "entropy": 0.8651461038738489,
174
- "epoch": 1.7779237844940867,
175
- "grad_norm": 1.625,
176
- "learning_rate": 8.263888888888889e-05,
177
- "loss": 0.870454978942871,
178
- "mean_token_accuracy": 0.8074543043971062,
179
- "num_tokens": 65643.0,
180
- "step": 170
181
- },
182
- {
183
- "entropy": 0.8021717140451073,
184
- "epoch": 1.8830486202365309,
185
- "grad_norm": 2.109375,
186
- "learning_rate": 7.569444444444445e-05,
187
- "loss": 0.8372815132141114,
188
- "mean_token_accuracy": 0.8185677900910378,
189
- "num_tokens": 69253.0,
190
- "step": 180
191
- },
192
- {
193
- "entropy": 0.8461722563952208,
194
- "epoch": 1.988173455978975,
195
- "grad_norm": 1.9609375,
196
- "learning_rate": 6.875e-05,
197
- "loss": 0.8477604866027832,
198
- "mean_token_accuracy": 0.821676817536354,
199
- "num_tokens": 73086.0,
200
- "step": 190
201
- },
202
- {
203
- "entropy": 0.6834010038882086,
204
- "epoch": 2.084099868593955,
205
- "grad_norm": 1.640625,
206
- "learning_rate": 6.180555555555556e-05,
207
- "loss": 0.5151080131530762,
208
- "mean_token_accuracy": 0.8863431843992782,
209
- "num_tokens": 76490.0,
210
- "step": 200
211
- },
212
- {
213
- "entropy": 0.5644423710182309,
214
- "epoch": 2.1892247043363993,
215
- "grad_norm": 2.4375,
216
- "learning_rate": 5.486111111111112e-05,
217
- "loss": 0.523468017578125,
218
- "mean_token_accuracy": 0.8785075314342976,
219
- "num_tokens": 80430.0,
220
- "step": 210
221
- },
222
- {
223
- "entropy": 0.5120254509150982,
224
- "epoch": 2.2943495400788434,
225
- "grad_norm": 1.6796875,
226
- "learning_rate": 4.791666666666667e-05,
227
- "loss": 0.43973474502563475,
228
- "mean_token_accuracy": 0.900006202608347,
229
- "num_tokens": 84261.0,
230
- "step": 220
231
- },
232
- {
233
- "entropy": 0.6139889739453792,
234
- "epoch": 2.3994743758212875,
235
- "grad_norm": 2.03125,
236
- "learning_rate": 4.0972222222222225e-05,
237
- "loss": 0.49155173301696775,
238
- "mean_token_accuracy": 0.8851348020136356,
239
- "num_tokens": 88367.0,
240
- "step": 230
241
- },
242
- {
243
- "entropy": 0.548260616324842,
244
- "epoch": 2.5045992115637317,
245
- "grad_norm": 2.109375,
246
- "learning_rate": 3.402777777777778e-05,
247
- "loss": 0.45668373107910154,
248
- "mean_token_accuracy": 0.8958614394068718,
249
- "num_tokens": 92116.0,
250
- "step": 240
251
- },
252
- {
253
- "entropy": 0.524461186490953,
254
- "epoch": 2.6097240473061762,
255
- "grad_norm": 2.25,
256
- "learning_rate": 2.7083333333333332e-05,
257
- "loss": 0.4536457538604736,
258
- "mean_token_accuracy": 0.8967262022197247,
259
- "num_tokens": 96008.0,
260
- "step": 250
261
- },
262
- {
263
- "entropy": 0.5277848264202476,
264
- "epoch": 2.7148488830486204,
265
- "grad_norm": 2.625,
266
- "learning_rate": 2.013888888888889e-05,
267
- "loss": 0.4624601364135742,
268
- "mean_token_accuracy": 0.8950574725866318,
269
- "num_tokens": 99859.0,
270
- "step": 260
271
- },
272
- {
273
- "entropy": 0.5569793220609427,
274
- "epoch": 2.8199737187910645,
275
- "grad_norm": 2.078125,
276
- "learning_rate": 1.3194444444444446e-05,
277
- "loss": 0.4798299312591553,
278
- "mean_token_accuracy": 0.8920079082250595,
279
- "num_tokens": 103783.0,
280
- "step": 270
281
- },
282
- {
283
- "entropy": 0.5342973008751869,
284
- "epoch": 2.9250985545335086,
285
- "grad_norm": 1.96875,
286
- "learning_rate": 6.25e-06,
287
- "loss": 0.44893660545349123,
288
- "mean_token_accuracy": 0.8974449247121811,
289
- "num_tokens": 107478.0,
290
- "step": 280
291
- }
292
- ],
293
- "logging_steps": 10,
294
- "max_steps": 288,
295
- "num_input_tokens_seen": 0,
296
- "num_train_epochs": 3,
297
- "save_steps": 500,
298
- "stateful_callbacks": {
299
- "TrainerControl": {
300
- "args": {
301
- "should_epoch_stop": false,
302
- "should_evaluate": false,
303
- "should_log": false,
304
- "should_save": true,
305
- "should_training_stop": true
306
- },
307
- "attributes": {}
308
- }
309
- },
310
- "total_flos": 5276159937146880.0,
311
- "train_batch_size": 1,
312
- "trial_name": null,
313
- "trial_params": null
314
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-288/training_args.bin DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:80c77319107d515ff120e1a03ba8bd1c939446a417590eaef8b1b3111fab5416
3
- size 5777
 
 
 
 
finetune/checkpoints/checkpoint-96/README.md DELETED
@@ -1,209 +0,0 @@
1
- ---
2
- base_model: Qwen/Qwen3.5-9B
3
- library_name: peft
4
- pipeline_tag: text-generation
5
- tags:
6
- - base_model:adapter:Qwen/Qwen3.5-9B
7
- - lora
8
- - sft
9
- - transformers
10
- - trl
11
- ---
12
-
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
176
- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
-
190
- ## Glossary [optional]
191
-
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
-
194
- [More Information Needed]
195
-
196
- ## More Information [optional]
197
-
198
- [More Information Needed]
199
-
200
- ## Model Card Authors [optional]
201
-
202
- [More Information Needed]
203
-
204
- ## Model Card Contact
205
-
206
- [More Information Needed]
207
- ### Framework versions
208
-
209
- - PEFT 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-96/adapter_config.json DELETED
@@ -1,53 +0,0 @@
1
- {
2
- "alora_invocation_tokens": null,
3
- "alpha_pattern": {},
4
- "arrow_config": null,
5
- "auto_mapping": null,
6
- "base_model_name_or_path": "Qwen/Qwen3.5-9B",
7
- "bias": "none",
8
- "corda_config": null,
9
- "ensure_weight_tying": false,
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": 32,
20
- "lora_bias": false,
21
- "lora_dropout": 0.05,
22
- "lora_ga_config": null,
23
- "megatron_config": null,
24
- "megatron_core": "megatron.core",
25
- "modules_to_save": null,
26
- "peft_type": "LORA",
27
- "peft_version": "0.19.1",
28
- "qalora_group_size": 16,
29
- "r": 16,
30
- "rank_pattern": {},
31
- "revision": null,
32
- "target_modules": [
33
- "up_proj",
34
- "k_proj",
35
- "o_proj",
36
- "v_proj",
37
- "out_proj",
38
- "in_proj_qkv",
39
- "in_proj_z",
40
- "in_proj_b",
41
- "down_proj",
42
- "q_proj",
43
- "gate_proj",
44
- "in_proj_a"
45
- ],
46
- "target_parameters": null,
47
- "task_type": "CAUSAL_LM",
48
- "trainable_token_indices": null,
49
- "use_bdlora": null,
50
- "use_dora": false,
51
- "use_qalora": false,
52
- "use_rslora": false
53
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-96/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:f03e779a43975dcdd86cdb41004659692e771ca7880c0c8404b714c658c6af0e
3
- size 86624424
 
 
 
 
finetune/checkpoints/checkpoint-96/chat_template.jinja DELETED
@@ -1,154 +0,0 @@
1
- {%- set image_count = namespace(value=0) %}
2
- {%- set video_count = namespace(value=0) %}
3
- {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
- {%- if content is string %}
5
- {{- content }}
6
- {%- elif content is iterable and content is not mapping %}
7
- {%- for item in content %}
8
- {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
- {%- if is_system_content %}
10
- {{- raise_exception('System message cannot contain images.') }}
11
- {%- endif %}
12
- {%- if do_vision_count %}
13
- {%- set image_count.value = image_count.value + 1 %}
14
- {%- endif %}
15
- {%- if add_vision_id %}
16
- {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
- {%- endif %}
18
- {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
- {%- elif 'video' in item or item.type == 'video' %}
20
- {%- if is_system_content %}
21
- {{- raise_exception('System message cannot contain videos.') }}
22
- {%- endif %}
23
- {%- if do_vision_count %}
24
- {%- set video_count.value = video_count.value + 1 %}
25
- {%- endif %}
26
- {%- if add_vision_id %}
27
- {{- 'Video ' ~ video_count.value ~ ': ' }}
28
- {%- endif %}
29
- {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
- {%- elif 'text' in item %}
31
- {{- item.text }}
32
- {%- else %}
33
- {{- raise_exception('Unexpected item type in content.') }}
34
- {%- endif %}
35
- {%- endfor %}
36
- {%- elif content is none or content is undefined %}
37
- {{- '' }}
38
- {%- else %}
39
- {{- raise_exception('Unexpected content type.') }}
40
- {%- endif %}
41
- {%- endmacro %}
42
- {%- if not messages %}
43
- {{- raise_exception('No messages provided.') }}
44
- {%- endif %}
45
- {%- if tools and tools is iterable and tools is not mapping %}
46
- {{- '<|im_start|>system\n' }}
47
- {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
- {%- for tool in tools %}
49
- {{- "\n" }}
50
- {{- tool | tojson }}
51
- {%- endfor %}
52
- {{- "\n</tools>" }}
53
- {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
- {%- if messages[0].role == 'system' %}
55
- {%- set content = render_content(messages[0].content, false, true)|trim %}
56
- {%- if content %}
57
- {{- '\n\n' + content }}
58
- {%- endif %}
59
- {%- endif %}
60
- {{- '<|im_end|>\n' }}
61
- {%- else %}
62
- {%- if messages[0].role == 'system' %}
63
- {%- set content = render_content(messages[0].content, false, true)|trim %}
64
- {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
- {%- endif %}
66
- {%- endif %}
67
- {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
- {%- for message in messages[::-1] %}
69
- {%- set index = (messages|length - 1) - loop.index0 %}
70
- {%- if ns.multi_step_tool and message.role == "user" %}
71
- {%- set content = render_content(message.content, false)|trim %}
72
- {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
- {%- set ns.multi_step_tool = false %}
74
- {%- set ns.last_query_index = index %}
75
- {%- endif %}
76
- {%- endif %}
77
- {%- endfor %}
78
- {%- if ns.multi_step_tool %}
79
- {{- raise_exception('No user query found in messages.') }}
80
- {%- endif %}
81
- {%- for message in messages %}
82
- {%- set content = render_content(message.content, true)|trim %}
83
- {%- if message.role == "system" %}
84
- {%- if not loop.first %}
85
- {{- raise_exception('System message must be at the beginning.') }}
86
- {%- endif %}
87
- {%- elif message.role == "user" %}
88
- {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
- {%- elif message.role == "assistant" %}
90
- {%- set reasoning_content = '' %}
91
- {%- if message.reasoning_content is string %}
92
- {%- set reasoning_content = message.reasoning_content %}
93
- {%- else %}
94
- {%- if '</think>' in content %}
95
- {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
- {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
- {%- endif %}
98
- {%- endif %}
99
- {%- set reasoning_content = reasoning_content|trim %}
100
- {%- if loop.index0 > ns.last_query_index %}
101
- {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
- {%- else %}
103
- {{- '<|im_start|>' + message.role + '\n' + content }}
104
- {%- endif %}
105
- {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
- {%- for tool_call in message.tool_calls %}
107
- {%- if tool_call.function is defined %}
108
- {%- set tool_call = tool_call.function %}
109
- {%- endif %}
110
- {%- if loop.first %}
111
- {%- if content|trim %}
112
- {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
- {%- else %}
114
- {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
- {%- endif %}
116
- {%- else %}
117
- {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
- {%- endif %}
119
- {%- if tool_call.arguments is defined %}
120
- {%- for args_name, args_value in tool_call.arguments|items %}
121
- {{- '<parameter=' + args_name + '>\n' }}
122
- {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
- {{- args_value }}
124
- {{- '\n</parameter>\n' }}
125
- {%- endfor %}
126
- {%- endif %}
127
- {{- '</function>\n</tool_call>' }}
128
- {%- endfor %}
129
- {%- endif %}
130
- {{- '<|im_end|>\n' }}
131
- {%- elif message.role == "tool" %}
132
- {%- if loop.previtem and loop.previtem.role != "tool" %}
133
- {{- '<|im_start|>user' }}
134
- {%- endif %}
135
- {{- '\n<tool_response>\n' }}
136
- {{- content }}
137
- {{- '\n</tool_response>' }}
138
- {%- if not loop.last and loop.nextitem.role != "tool" %}
139
- {{- '<|im_end|>\n' }}
140
- {%- elif loop.last %}
141
- {{- '<|im_end|>\n' }}
142
- {%- endif %}
143
- {%- else %}
144
- {{- raise_exception('Unexpected message role.') }}
145
- {%- endif %}
146
- {%- endfor %}
147
- {%- if add_generation_prompt %}
148
- {{- '<|im_start|>assistant\n' }}
149
- {%- if enable_thinking is defined and enable_thinking is false %}
150
- {{- '<think>\n\n</think>\n\n' }}
151
- {%- else %}
152
- {{- '<think>\n' }}
153
- {%- endif %}
154
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-96/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:d20760b2006a548a0307ad7cd2792b4ac6b093ec76f9b640f29a2d9d8b4faffd
3
- size 173539507
 
 
 
 
finetune/checkpoints/checkpoint-96/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:2fc05a5af5e55dd07491a9c13f98e77a3b89980687c94a380940cea72c438db1
3
- size 14645
 
 
 
 
finetune/checkpoints/checkpoint-96/scheduler.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:26175424728d92cc8b818d24add62cebe17e0a76e269611dcabb93101acd685b
3
- size 1465
 
 
 
 
finetune/checkpoints/checkpoint-96/tokenizer.json DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
- size 19989325
 
 
 
 
finetune/checkpoints/checkpoint-96/tokenizer_config.json DELETED
@@ -1,32 +0,0 @@
1
- {
2
- "add_prefix_space": false,
3
- "audio_bos_token": "<|audio_start|>",
4
- "audio_eos_token": "<|audio_end|>",
5
- "audio_token": "<|audio_pad|>",
6
- "backend": "tokenizers",
7
- "bos_token": null,
8
- "clean_up_tokenization_spaces": false,
9
- "eos_token": "<|im_end|>",
10
- "errors": "replace",
11
- "image_token": "<|image_pad|>",
12
- "is_local": false,
13
- "local_files_only": false,
14
- "model_max_length": 262144,
15
- "model_specific_special_tokens": {
16
- "audio_bos_token": "<|audio_start|>",
17
- "audio_eos_token": "<|audio_end|>",
18
- "audio_token": "<|audio_pad|>",
19
- "image_token": "<|image_pad|>",
20
- "video_token": "<|video_pad|>",
21
- "vision_bos_token": "<|vision_start|>",
22
- "vision_eos_token": "<|vision_end|>"
23
- },
24
- "pad_token": "<|endoftext|>",
25
- "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
26
- "split_special_tokens": false,
27
- "tokenizer_class": "Qwen2Tokenizer",
28
- "unk_token": null,
29
- "video_token": "<|video_pad|>",
30
- "vision_bos_token": "<|vision_start|>",
31
- "vision_eos_token": "<|vision_end|>"
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-96/trainer_state.json DELETED
@@ -1,124 +0,0 @@
1
- {
2
- "best_global_step": null,
3
- "best_metric": null,
4
- "best_model_checkpoint": null,
5
- "epoch": 1.0,
6
- "eval_steps": 500,
7
- "global_step": 96,
8
- "is_hyper_param_search": false,
9
- "is_local_process_zero": true,
10
- "is_world_process_zero": true,
11
- "log_history": [
12
- {
13
- "entropy": 1.5058588825166226,
14
- "epoch": 0.10512483574244415,
15
- "grad_norm": 1.796875,
16
- "learning_rate": 0.00019375000000000002,
17
- "loss": 1.7537630081176758,
18
- "mean_token_accuracy": 0.695327178388834,
19
- "num_tokens": 3808.0,
20
- "step": 10
21
- },
22
- {
23
- "entropy": 1.316319726407528,
24
- "epoch": 0.2102496714848883,
25
- "grad_norm": 1.390625,
26
- "learning_rate": 0.00018680555555555556,
27
- "loss": 1.4752570152282716,
28
- "mean_token_accuracy": 0.7272207736968994,
29
- "num_tokens": 7522.0,
30
- "step": 20
31
- },
32
- {
33
- "entropy": 1.3150447681546211,
34
- "epoch": 0.31537450722733246,
35
- "grad_norm": 1.3984375,
36
- "learning_rate": 0.00017986111111111113,
37
- "loss": 1.404660415649414,
38
- "mean_token_accuracy": 0.7220224224030971,
39
- "num_tokens": 11407.0,
40
- "step": 30
41
- },
42
- {
43
- "entropy": 1.225712712854147,
44
- "epoch": 0.4204993429697766,
45
- "grad_norm": 1.140625,
46
- "learning_rate": 0.00017291666666666668,
47
- "loss": 1.3144322395324708,
48
- "mean_token_accuracy": 0.7446377977728844,
49
- "num_tokens": 15194.0,
50
- "step": 40
51
- },
52
- {
53
- "entropy": 1.3306574214249849,
54
- "epoch": 0.5256241787122208,
55
- "grad_norm": 1.390625,
56
- "learning_rate": 0.00016597222222222225,
57
- "loss": 1.442171287536621,
58
- "mean_token_accuracy": 0.7188469670712948,
59
- "num_tokens": 19221.0,
60
- "step": 50
61
- },
62
- {
63
- "entropy": 1.2213972710072993,
64
- "epoch": 0.6307490144546649,
65
- "grad_norm": 1.25,
66
- "learning_rate": 0.00015902777777777776,
67
- "loss": 1.3555883407592773,
68
- "mean_token_accuracy": 0.7323203787207604,
69
- "num_tokens": 23135.0,
70
- "step": 60
71
- },
72
- {
73
- "entropy": 1.236185147613287,
74
- "epoch": 0.735873850197109,
75
- "grad_norm": 1.2890625,
76
- "learning_rate": 0.00015208333333333333,
77
- "loss": 1.3239954948425292,
78
- "mean_token_accuracy": 0.7413535274565219,
79
- "num_tokens": 26938.0,
80
- "step": 70
81
- },
82
- {
83
- "entropy": 1.1433476515114307,
84
- "epoch": 0.8409986859395532,
85
- "grad_norm": 1.1875,
86
- "learning_rate": 0.00014513888888888888,
87
- "loss": 1.2469322204589843,
88
- "mean_token_accuracy": 0.7549085400998592,
89
- "num_tokens": 30527.0,
90
- "step": 80
91
- },
92
- {
93
- "entropy": 1.283092799782753,
94
- "epoch": 0.9461235216819974,
95
- "grad_norm": 1.21875,
96
- "learning_rate": 0.00013819444444444445,
97
- "loss": 1.4147074699401856,
98
- "mean_token_accuracy": 0.7189013145864009,
99
- "num_tokens": 34654.0,
100
- "step": 90
101
- }
102
- ],
103
- "logging_steps": 10,
104
- "max_steps": 288,
105
- "num_input_tokens_seen": 0,
106
- "num_train_epochs": 3,
107
- "save_steps": 500,
108
- "stateful_callbacks": {
109
- "TrainerControl": {
110
- "args": {
111
- "should_epoch_stop": false,
112
- "should_evaluate": false,
113
- "should_log": false,
114
- "should_save": true,
115
- "should_training_stop": false
116
- },
117
- "attributes": {}
118
- }
119
- },
120
- "total_flos": 1758719979048960.0,
121
- "train_batch_size": 1,
122
- "trial_name": null,
123
- "trial_params": null
124
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/checkpoints/checkpoint-96/training_args.bin DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:80c77319107d515ff120e1a03ba8bd1c939446a417590eaef8b1b3111fab5416
3
- size 5777
 
 
 
 
finetune/style_checkpoint/checkpoint-132/README.md DELETED
@@ -1,209 +0,0 @@
1
- ---
2
- base_model: C:\Users\Ifmanzhang\Documents\GitHub\RepE\merged_model
3
- library_name: peft
4
- pipeline_tag: text-generation
5
- tags:
6
- - base_model:adapter:C:\Users\Ifmanzhang\Documents\GitHub\RepE\merged_model
7
- - lora
8
- - sft
9
- - transformers
10
- - trl
11
- ---
12
-
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
176
- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
-
190
- ## Glossary [optional]
191
-
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
-
194
- [More Information Needed]
195
-
196
- ## More Information [optional]
197
-
198
- [More Information Needed]
199
-
200
- ## Model Card Authors [optional]
201
-
202
- [More Information Needed]
203
-
204
- ## Model Card Contact
205
-
206
- [More Information Needed]
207
- ### Framework versions
208
-
209
- - PEFT 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-132/adapter_config.json DELETED
@@ -1,53 +0,0 @@
1
- {
2
- "alora_invocation_tokens": null,
3
- "alpha_pattern": {},
4
- "arrow_config": null,
5
- "auto_mapping": null,
6
- "base_model_name_or_path": "C:\\Users\\Ifmanzhang\\Documents\\GitHub\\RepE\\merged_model",
7
- "bias": "none",
8
- "corda_config": null,
9
- "ensure_weight_tying": false,
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": 32,
20
- "lora_bias": false,
21
- "lora_dropout": 0.05,
22
- "lora_ga_config": null,
23
- "megatron_config": null,
24
- "megatron_core": "megatron.core",
25
- "modules_to_save": null,
26
- "peft_type": "LORA",
27
- "peft_version": "0.19.1",
28
- "qalora_group_size": 16,
29
- "r": 16,
30
- "rank_pattern": {},
31
- "revision": null,
32
- "target_modules": [
33
- "in_proj_a",
34
- "up_proj",
35
- "in_proj_z",
36
- "in_proj_qkv",
37
- "down_proj",
38
- "o_proj",
39
- "gate_proj",
40
- "out_proj",
41
- "in_proj_b",
42
- "v_proj",
43
- "q_proj",
44
- "k_proj"
45
- ],
46
- "target_parameters": null,
47
- "task_type": "CAUSAL_LM",
48
- "trainable_token_indices": null,
49
- "use_bdlora": null,
50
- "use_dora": false,
51
- "use_qalora": false,
52
- "use_rslora": false
53
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-132/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:e39771f0f53ca759114efb681a1ed2041a68e81133e1fd79ca47e9260feefa8b
3
- size 86624424
 
 
 
 
finetune/style_checkpoint/checkpoint-132/chat_template.jinja DELETED
@@ -1,154 +0,0 @@
1
- {%- set image_count = namespace(value=0) %}
2
- {%- set video_count = namespace(value=0) %}
3
- {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
- {%- if content is string %}
5
- {{- content }}
6
- {%- elif content is iterable and content is not mapping %}
7
- {%- for item in content %}
8
- {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
- {%- if is_system_content %}
10
- {{- raise_exception('System message cannot contain images.') }}
11
- {%- endif %}
12
- {%- if do_vision_count %}
13
- {%- set image_count.value = image_count.value + 1 %}
14
- {%- endif %}
15
- {%- if add_vision_id %}
16
- {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
- {%- endif %}
18
- {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
- {%- elif 'video' in item or item.type == 'video' %}
20
- {%- if is_system_content %}
21
- {{- raise_exception('System message cannot contain videos.') }}
22
- {%- endif %}
23
- {%- if do_vision_count %}
24
- {%- set video_count.value = video_count.value + 1 %}
25
- {%- endif %}
26
- {%- if add_vision_id %}
27
- {{- 'Video ' ~ video_count.value ~ ': ' }}
28
- {%- endif %}
29
- {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
- {%- elif 'text' in item %}
31
- {{- item.text }}
32
- {%- else %}
33
- {{- raise_exception('Unexpected item type in content.') }}
34
- {%- endif %}
35
- {%- endfor %}
36
- {%- elif content is none or content is undefined %}
37
- {{- '' }}
38
- {%- else %}
39
- {{- raise_exception('Unexpected content type.') }}
40
- {%- endif %}
41
- {%- endmacro %}
42
- {%- if not messages %}
43
- {{- raise_exception('No messages provided.') }}
44
- {%- endif %}
45
- {%- if tools and tools is iterable and tools is not mapping %}
46
- {{- '<|im_start|>system\n' }}
47
- {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
- {%- for tool in tools %}
49
- {{- "\n" }}
50
- {{- tool | tojson }}
51
- {%- endfor %}
52
- {{- "\n</tools>" }}
53
- {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
- {%- if messages[0].role == 'system' %}
55
- {%- set content = render_content(messages[0].content, false, true)|trim %}
56
- {%- if content %}
57
- {{- '\n\n' + content }}
58
- {%- endif %}
59
- {%- endif %}
60
- {{- '<|im_end|>\n' }}
61
- {%- else %}
62
- {%- if messages[0].role == 'system' %}
63
- {%- set content = render_content(messages[0].content, false, true)|trim %}
64
- {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
- {%- endif %}
66
- {%- endif %}
67
- {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
- {%- for message in messages[::-1] %}
69
- {%- set index = (messages|length - 1) - loop.index0 %}
70
- {%- if ns.multi_step_tool and message.role == "user" %}
71
- {%- set content = render_content(message.content, false)|trim %}
72
- {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
- {%- set ns.multi_step_tool = false %}
74
- {%- set ns.last_query_index = index %}
75
- {%- endif %}
76
- {%- endif %}
77
- {%- endfor %}
78
- {%- if ns.multi_step_tool %}
79
- {{- raise_exception('No user query found in messages.') }}
80
- {%- endif %}
81
- {%- for message in messages %}
82
- {%- set content = render_content(message.content, true)|trim %}
83
- {%- if message.role == "system" %}
84
- {%- if not loop.first %}
85
- {{- raise_exception('System message must be at the beginning.') }}
86
- {%- endif %}
87
- {%- elif message.role == "user" %}
88
- {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
- {%- elif message.role == "assistant" %}
90
- {%- set reasoning_content = '' %}
91
- {%- if message.reasoning_content is string %}
92
- {%- set reasoning_content = message.reasoning_content %}
93
- {%- else %}
94
- {%- if '</think>' in content %}
95
- {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
- {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
- {%- endif %}
98
- {%- endif %}
99
- {%- set reasoning_content = reasoning_content|trim %}
100
- {%- if loop.index0 > ns.last_query_index %}
101
- {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
- {%- else %}
103
- {{- '<|im_start|>' + message.role + '\n' + content }}
104
- {%- endif %}
105
- {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
- {%- for tool_call in message.tool_calls %}
107
- {%- if tool_call.function is defined %}
108
- {%- set tool_call = tool_call.function %}
109
- {%- endif %}
110
- {%- if loop.first %}
111
- {%- if content|trim %}
112
- {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
- {%- else %}
114
- {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
- {%- endif %}
116
- {%- else %}
117
- {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
- {%- endif %}
119
- {%- if tool_call.arguments is defined %}
120
- {%- for args_name, args_value in tool_call.arguments|items %}
121
- {{- '<parameter=' + args_name + '>\n' }}
122
- {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
- {{- args_value }}
124
- {{- '\n</parameter>\n' }}
125
- {%- endfor %}
126
- {%- endif %}
127
- {{- '</function>\n</tool_call>' }}
128
- {%- endfor %}
129
- {%- endif %}
130
- {{- '<|im_end|>\n' }}
131
- {%- elif message.role == "tool" %}
132
- {%- if loop.previtem and loop.previtem.role != "tool" %}
133
- {{- '<|im_start|>user' }}
134
- {%- endif %}
135
- {{- '\n<tool_response>\n' }}
136
- {{- content }}
137
- {{- '\n</tool_response>' }}
138
- {%- if not loop.last and loop.nextitem.role != "tool" %}
139
- {{- '<|im_end|>\n' }}
140
- {%- elif loop.last %}
141
- {{- '<|im_end|>\n' }}
142
- {%- endif %}
143
- {%- else %}
144
- {{- raise_exception('Unexpected message role.') }}
145
- {%- endif %}
146
- {%- endfor %}
147
- {%- if add_generation_prompt %}
148
- {{- '<|im_start|>assistant\n' }}
149
- {%- if enable_thinking is defined and enable_thinking is false %}
150
- {{- '<think>\n\n</think>\n\n' }}
151
- {%- else %}
152
- {{- '<think>\n' }}
153
- {%- endif %}
154
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-132/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:c8a8fc7ac39ead78fd5404103fd69eb5af92b12e8f12deb71bd1216c4839b55a
3
- size 173539507
 
 
 
 
finetune/style_checkpoint/checkpoint-132/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:55458227fb883b7277781facf9f9a8d32c2c5a33e955febaec1eaadf202c3636
3
- size 14645
 
 
 
 
finetune/style_checkpoint/checkpoint-132/scheduler.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:9fad155de9dcd6412030b755a69f4c04b30a98ba8375d5d62b5bea51173f91a5
3
- size 1465
 
 
 
 
finetune/style_checkpoint/checkpoint-132/tokenizer.json DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523
3
- size 19989325
 
 
 
 
finetune/style_checkpoint/checkpoint-132/tokenizer_config.json DELETED
@@ -1,32 +0,0 @@
1
- {
2
- "add_prefix_space": false,
3
- "audio_bos_token": "<|audio_start|>",
4
- "audio_eos_token": "<|audio_end|>",
5
- "audio_token": "<|audio_pad|>",
6
- "backend": "tokenizers",
7
- "bos_token": null,
8
- "clean_up_tokenization_spaces": false,
9
- "eos_token": "<|im_end|>",
10
- "errors": "replace",
11
- "image_token": "<|image_pad|>",
12
- "is_local": true,
13
- "local_files_only": false,
14
- "model_max_length": 262144,
15
- "model_specific_special_tokens": {
16
- "audio_bos_token": "<|audio_start|>",
17
- "audio_eos_token": "<|audio_end|>",
18
- "audio_token": "<|audio_pad|>",
19
- "image_token": "<|image_pad|>",
20
- "video_token": "<|video_pad|>",
21
- "vision_bos_token": "<|vision_start|>",
22
- "vision_eos_token": "<|vision_end|>"
23
- },
24
- "pad_token": "<|endoftext|>",
25
- "pretokenize_regex": "(?i:'s|'t|'re|'ve|'m|'ll|'d)|[^\\r\\n\\p{L}\\p{N}]?[\\p{L}\\p{M}]+|\\p{N}| ?[^\\s\\p{L}\\p{M}\\p{N}]+[\\r\\n]*|\\s*[\\r\\n]+|\\s+(?!\\S)|\\s+",
26
- "split_special_tokens": false,
27
- "tokenizer_class": "Qwen2Tokenizer",
28
- "unk_token": null,
29
- "video_token": "<|video_pad|>",
30
- "vision_bos_token": "<|vision_start|>",
31
- "vision_eos_token": "<|vision_end|>"
32
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-132/trainer_state.json DELETED
@@ -1,164 +0,0 @@
1
- {
2
- "best_global_step": null,
3
- "best_metric": null,
4
- "best_model_checkpoint": null,
5
- "epoch": 3.0,
6
- "eval_steps": 500,
7
- "global_step": 132,
8
- "is_hyper_param_search": false,
9
- "is_local_process_zero": true,
10
- "is_world_process_zero": true,
11
- "log_history": [
12
- {
13
- "entropy": 1.30109671279788,
14
- "epoch": 0.22857142857142856,
15
- "grad_norm": 1.2109375,
16
- "learning_rate": 0.00018636363636363636,
17
- "loss": 1.69281063079834,
18
- "mean_token_accuracy": 0.7338378168642521,
19
- "num_tokens": 2779.0,
20
- "step": 10
21
- },
22
- {
23
- "entropy": 1.2120113119482994,
24
- "epoch": 0.45714285714285713,
25
- "grad_norm": 1.3359375,
26
- "learning_rate": 0.00017121212121212122,
27
- "loss": 1.1274803161621094,
28
- "mean_token_accuracy": 0.770654023438692,
29
- "num_tokens": 5529.0,
30
- "step": 20
31
- },
32
- {
33
- "entropy": 0.9645026199519634,
34
- "epoch": 0.6857142857142857,
35
- "grad_norm": 1.3203125,
36
- "learning_rate": 0.00015606060606060607,
37
- "loss": 1.0083338737487793,
38
- "mean_token_accuracy": 0.7900982514023781,
39
- "num_tokens": 8264.0,
40
- "step": 30
41
- },
42
- {
43
- "entropy": 1.001315427571535,
44
- "epoch": 0.9142857142857143,
45
- "grad_norm": 1.2109375,
46
- "learning_rate": 0.00014090909090909093,
47
- "loss": 0.9876208305358887,
48
- "mean_token_accuracy": 0.7899081066250802,
49
- "num_tokens": 11028.0,
50
- "step": 40
51
- },
52
- {
53
- "entropy": 0.9025501891588553,
54
- "epoch": 1.1371428571428572,
55
- "grad_norm": 0.97265625,
56
- "learning_rate": 0.00012575757575757575,
57
- "loss": 0.7734798908233642,
58
- "mean_token_accuracy": 0.8246896488544269,
59
- "num_tokens": 13730.0,
60
- "step": 50
61
- },
62
- {
63
- "entropy": 0.7055704202502966,
64
- "epoch": 1.3657142857142857,
65
- "grad_norm": 1.453125,
66
- "learning_rate": 0.00011060606060606061,
67
- "loss": 0.6433767318725586,
68
- "mean_token_accuracy": 0.849166390299797,
69
- "num_tokens": 16506.0,
70
- "step": 60
71
- },
72
- {
73
- "entropy": 0.6749185953289271,
74
- "epoch": 1.5942857142857143,
75
- "grad_norm": 1.5078125,
76
- "learning_rate": 9.545454545454546e-05,
77
- "loss": 0.6674872398376465,
78
- "mean_token_accuracy": 0.8353129491209984,
79
- "num_tokens": 19267.0,
80
- "step": 70
81
- },
82
- {
83
- "entropy": 0.665529253333807,
84
- "epoch": 1.822857142857143,
85
- "grad_norm": 1.71875,
86
- "learning_rate": 8.03030303030303e-05,
87
- "loss": 0.6229500770568848,
88
- "mean_token_accuracy": 0.8385165937244892,
89
- "num_tokens": 22011.0,
90
- "step": 80
91
- },
92
- {
93
- "entropy": 0.6535426924626032,
94
- "epoch": 2.045714285714286,
95
- "grad_norm": 1.0546875,
96
- "learning_rate": 6.515151515151516e-05,
97
- "loss": 0.5569591522216797,
98
- "mean_token_accuracy": 0.8594398276928144,
99
- "num_tokens": 24693.0,
100
- "step": 90
101
- },
102
- {
103
- "entropy": 0.5231270018965006,
104
- "epoch": 2.2742857142857145,
105
- "grad_norm": 1.6796875,
106
- "learning_rate": 5e-05,
107
- "loss": 0.36677672863006594,
108
- "mean_token_accuracy": 0.9020668059587479,
109
- "num_tokens": 27463.0,
110
- "step": 100
111
- },
112
- {
113
- "entropy": 0.4256359253078699,
114
- "epoch": 2.5028571428571427,
115
- "grad_norm": 2.046875,
116
- "learning_rate": 3.484848484848485e-05,
117
- "loss": 0.35885071754455566,
118
- "mean_token_accuracy": 0.8996045172214509,
119
- "num_tokens": 30201.0,
120
- "step": 110
121
- },
122
- {
123
- "entropy": 0.404218702763319,
124
- "epoch": 2.7314285714285713,
125
- "grad_norm": 1.734375,
126
- "learning_rate": 1.9696969696969697e-05,
127
- "loss": 0.35897390842437743,
128
- "mean_token_accuracy": 0.9063410043716431,
129
- "num_tokens": 32955.0,
130
- "step": 120
131
- },
132
- {
133
- "entropy": 0.3963111503049731,
134
- "epoch": 2.96,
135
- "grad_norm": 2.0625,
136
- "learning_rate": 4.5454545454545455e-06,
137
- "loss": 0.3470670938491821,
138
- "mean_token_accuracy": 0.9018755808472634,
139
- "num_tokens": 35726.0,
140
- "step": 130
141
- }
142
- ],
143
- "logging_steps": 10,
144
- "max_steps": 132,
145
- "num_input_tokens_seen": 0,
146
- "num_train_epochs": 3,
147
- "save_steps": 500,
148
- "stateful_callbacks": {
149
- "TrainerControl": {
150
- "args": {
151
- "should_epoch_stop": false,
152
- "should_evaluate": false,
153
- "should_log": false,
154
- "should_save": true,
155
- "should_training_stop": true
156
- },
157
- "attributes": {}
158
- }
159
- },
160
- "total_flos": 1734301292636160.0,
161
- "train_batch_size": 1,
162
- "trial_name": null,
163
- "trial_params": null
164
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-132/training_args.bin DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:b18b6c96a47cb78062355feafacc9baa8fde5cfda40273867df5486f7917195d
3
- size 5713
 
 
 
 
finetune/style_checkpoint/checkpoint-44/README.md DELETED
@@ -1,209 +0,0 @@
1
- ---
2
- base_model: C:\Users\Ifmanzhang\Documents\GitHub\RepE\merged_model
3
- library_name: peft
4
- pipeline_tag: text-generation
5
- tags:
6
- - base_model:adapter:C:\Users\Ifmanzhang\Documents\GitHub\RepE\merged_model
7
- - lora
8
- - sft
9
- - transformers
10
- - trl
11
- ---
12
-
13
- # Model Card for Model ID
14
-
15
- <!-- Provide a quick summary of what the model is/does. -->
16
-
17
-
18
-
19
- ## Model Details
20
-
21
- ### Model Description
22
-
23
- <!-- Provide a longer summary of what this model is. -->
24
-
25
-
26
-
27
- - **Developed by:** [More Information Needed]
28
- - **Funded by [optional]:** [More Information Needed]
29
- - **Shared by [optional]:** [More Information Needed]
30
- - **Model type:** [More Information Needed]
31
- - **Language(s) (NLP):** [More Information Needed]
32
- - **License:** [More Information Needed]
33
- - **Finetuned from model [optional]:** [More Information Needed]
34
-
35
- ### Model Sources [optional]
36
-
37
- <!-- Provide the basic links for the model. -->
38
-
39
- - **Repository:** [More Information Needed]
40
- - **Paper [optional]:** [More Information Needed]
41
- - **Demo [optional]:** [More Information Needed]
42
-
43
- ## Uses
44
-
45
- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
46
-
47
- ### Direct Use
48
-
49
- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
50
-
51
- [More Information Needed]
52
-
53
- ### Downstream Use [optional]
54
-
55
- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
56
-
57
- [More Information Needed]
58
-
59
- ### Out-of-Scope Use
60
-
61
- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
62
-
63
- [More Information Needed]
64
-
65
- ## Bias, Risks, and Limitations
66
-
67
- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
68
-
69
- [More Information Needed]
70
-
71
- ### Recommendations
72
-
73
- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
74
-
75
- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
76
-
77
- ## How to Get Started with the Model
78
-
79
- Use the code below to get started with the model.
80
-
81
- [More Information Needed]
82
-
83
- ## Training Details
84
-
85
- ### Training Data
86
-
87
- <!-- 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. -->
88
-
89
- [More Information Needed]
90
-
91
- ### Training Procedure
92
-
93
- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
94
-
95
- #### Preprocessing [optional]
96
-
97
- [More Information Needed]
98
-
99
-
100
- #### Training Hyperparameters
101
-
102
- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
103
-
104
- #### Speeds, Sizes, Times [optional]
105
-
106
- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
107
-
108
- [More Information Needed]
109
-
110
- ## Evaluation
111
-
112
- <!-- This section describes the evaluation protocols and provides the results. -->
113
-
114
- ### Testing Data, Factors & Metrics
115
-
116
- #### Testing Data
117
-
118
- <!-- This should link to a Dataset Card if possible. -->
119
-
120
- [More Information Needed]
121
-
122
- #### Factors
123
-
124
- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
125
-
126
- [More Information Needed]
127
-
128
- #### Metrics
129
-
130
- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
131
-
132
- [More Information Needed]
133
-
134
- ### Results
135
-
136
- [More Information Needed]
137
-
138
- #### Summary
139
-
140
-
141
-
142
- ## Model Examination [optional]
143
-
144
- <!-- Relevant interpretability work for the model goes here -->
145
-
146
- [More Information Needed]
147
-
148
- ## Environmental Impact
149
-
150
- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
151
-
152
- 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).
153
-
154
- - **Hardware Type:** [More Information Needed]
155
- - **Hours used:** [More Information Needed]
156
- - **Cloud Provider:** [More Information Needed]
157
- - **Compute Region:** [More Information Needed]
158
- - **Carbon Emitted:** [More Information Needed]
159
-
160
- ## Technical Specifications [optional]
161
-
162
- ### Model Architecture and Objective
163
-
164
- [More Information Needed]
165
-
166
- ### Compute Infrastructure
167
-
168
- [More Information Needed]
169
-
170
- #### Hardware
171
-
172
- [More Information Needed]
173
-
174
- #### Software
175
-
176
- [More Information Needed]
177
-
178
- ## Citation [optional]
179
-
180
- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
181
-
182
- **BibTeX:**
183
-
184
- [More Information Needed]
185
-
186
- **APA:**
187
-
188
- [More Information Needed]
189
-
190
- ## Glossary [optional]
191
-
192
- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
193
-
194
- [More Information Needed]
195
-
196
- ## More Information [optional]
197
-
198
- [More Information Needed]
199
-
200
- ## Model Card Authors [optional]
201
-
202
- [More Information Needed]
203
-
204
- ## Model Card Contact
205
-
206
- [More Information Needed]
207
- ### Framework versions
208
-
209
- - PEFT 0.19.1
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-44/adapter_config.json DELETED
@@ -1,53 +0,0 @@
1
- {
2
- "alora_invocation_tokens": null,
3
- "alpha_pattern": {},
4
- "arrow_config": null,
5
- "auto_mapping": null,
6
- "base_model_name_or_path": "C:\\Users\\Ifmanzhang\\Documents\\GitHub\\RepE\\merged_model",
7
- "bias": "none",
8
- "corda_config": null,
9
- "ensure_weight_tying": false,
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": 32,
20
- "lora_bias": false,
21
- "lora_dropout": 0.05,
22
- "lora_ga_config": null,
23
- "megatron_config": null,
24
- "megatron_core": "megatron.core",
25
- "modules_to_save": null,
26
- "peft_type": "LORA",
27
- "peft_version": "0.19.1",
28
- "qalora_group_size": 16,
29
- "r": 16,
30
- "rank_pattern": {},
31
- "revision": null,
32
- "target_modules": [
33
- "in_proj_a",
34
- "up_proj",
35
- "in_proj_z",
36
- "in_proj_qkv",
37
- "down_proj",
38
- "o_proj",
39
- "gate_proj",
40
- "out_proj",
41
- "in_proj_b",
42
- "v_proj",
43
- "q_proj",
44
- "k_proj"
45
- ],
46
- "target_parameters": null,
47
- "task_type": "CAUSAL_LM",
48
- "trainable_token_indices": null,
49
- "use_bdlora": null,
50
- "use_dora": false,
51
- "use_qalora": false,
52
- "use_rslora": false
53
- }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-44/adapter_model.safetensors DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:fbf525e8ecdc16097d8dacc4631ed12a9eb4a2927e12e67a7722ae59ecfa9cc6
3
- size 86624424
 
 
 
 
finetune/style_checkpoint/checkpoint-44/chat_template.jinja DELETED
@@ -1,154 +0,0 @@
1
- {%- set image_count = namespace(value=0) %}
2
- {%- set video_count = namespace(value=0) %}
3
- {%- macro render_content(content, do_vision_count, is_system_content=false) %}
4
- {%- if content is string %}
5
- {{- content }}
6
- {%- elif content is iterable and content is not mapping %}
7
- {%- for item in content %}
8
- {%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
9
- {%- if is_system_content %}
10
- {{- raise_exception('System message cannot contain images.') }}
11
- {%- endif %}
12
- {%- if do_vision_count %}
13
- {%- set image_count.value = image_count.value + 1 %}
14
- {%- endif %}
15
- {%- if add_vision_id %}
16
- {{- 'Picture ' ~ image_count.value ~ ': ' }}
17
- {%- endif %}
18
- {{- '<|vision_start|><|image_pad|><|vision_end|>' }}
19
- {%- elif 'video' in item or item.type == 'video' %}
20
- {%- if is_system_content %}
21
- {{- raise_exception('System message cannot contain videos.') }}
22
- {%- endif %}
23
- {%- if do_vision_count %}
24
- {%- set video_count.value = video_count.value + 1 %}
25
- {%- endif %}
26
- {%- if add_vision_id %}
27
- {{- 'Video ' ~ video_count.value ~ ': ' }}
28
- {%- endif %}
29
- {{- '<|vision_start|><|video_pad|><|vision_end|>' }}
30
- {%- elif 'text' in item %}
31
- {{- item.text }}
32
- {%- else %}
33
- {{- raise_exception('Unexpected item type in content.') }}
34
- {%- endif %}
35
- {%- endfor %}
36
- {%- elif content is none or content is undefined %}
37
- {{- '' }}
38
- {%- else %}
39
- {{- raise_exception('Unexpected content type.') }}
40
- {%- endif %}
41
- {%- endmacro %}
42
- {%- if not messages %}
43
- {{- raise_exception('No messages provided.') }}
44
- {%- endif %}
45
- {%- if tools and tools is iterable and tools is not mapping %}
46
- {{- '<|im_start|>system\n' }}
47
- {{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
48
- {%- for tool in tools %}
49
- {{- "\n" }}
50
- {{- tool | tojson }}
51
- {%- endfor %}
52
- {{- "\n</tools>" }}
53
- {{- '\n\nIf you choose to call a function ONLY reply in the following format with NO suffix:\n\n<tool_call>\n<function=example_function_name>\n<parameter=example_parameter_1>\nvalue_1\n</parameter>\n<parameter=example_parameter_2>\nThis is the value for the second parameter\nthat can span\nmultiple lines\n</parameter>\n</function>\n</tool_call>\n\n<IMPORTANT>\nReminder:\n- Function calls MUST follow the specified format: an inner <function=...></function> block must be nested within <tool_call></tool_call> XML tags\n- Required parameters MUST be specified\n- You may provide optional reasoning for your function call in natural language BEFORE the function call, but NOT after\n- If there is no function call available, answer the question like normal with your current knowledge and do not tell the user about function calls\n</IMPORTANT>' }}
54
- {%- if messages[0].role == 'system' %}
55
- {%- set content = render_content(messages[0].content, false, true)|trim %}
56
- {%- if content %}
57
- {{- '\n\n' + content }}
58
- {%- endif %}
59
- {%- endif %}
60
- {{- '<|im_end|>\n' }}
61
- {%- else %}
62
- {%- if messages[0].role == 'system' %}
63
- {%- set content = render_content(messages[0].content, false, true)|trim %}
64
- {{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
65
- {%- endif %}
66
- {%- endif %}
67
- {%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
68
- {%- for message in messages[::-1] %}
69
- {%- set index = (messages|length - 1) - loop.index0 %}
70
- {%- if ns.multi_step_tool and message.role == "user" %}
71
- {%- set content = render_content(message.content, false)|trim %}
72
- {%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
73
- {%- set ns.multi_step_tool = false %}
74
- {%- set ns.last_query_index = index %}
75
- {%- endif %}
76
- {%- endif %}
77
- {%- endfor %}
78
- {%- if ns.multi_step_tool %}
79
- {{- raise_exception('No user query found in messages.') }}
80
- {%- endif %}
81
- {%- for message in messages %}
82
- {%- set content = render_content(message.content, true)|trim %}
83
- {%- if message.role == "system" %}
84
- {%- if not loop.first %}
85
- {{- raise_exception('System message must be at the beginning.') }}
86
- {%- endif %}
87
- {%- elif message.role == "user" %}
88
- {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
89
- {%- elif message.role == "assistant" %}
90
- {%- set reasoning_content = '' %}
91
- {%- if message.reasoning_content is string %}
92
- {%- set reasoning_content = message.reasoning_content %}
93
- {%- else %}
94
- {%- if '</think>' in content %}
95
- {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
96
- {%- set content = content.split('</think>')[-1].lstrip('\n') %}
97
- {%- endif %}
98
- {%- endif %}
99
- {%- set reasoning_content = reasoning_content|trim %}
100
- {%- if loop.index0 > ns.last_query_index %}
101
- {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content + '\n</think>\n\n' + content }}
102
- {%- else %}
103
- {{- '<|im_start|>' + message.role + '\n' + content }}
104
- {%- endif %}
105
- {%- if message.tool_calls and message.tool_calls is iterable and message.tool_calls is not mapping %}
106
- {%- for tool_call in message.tool_calls %}
107
- {%- if tool_call.function is defined %}
108
- {%- set tool_call = tool_call.function %}
109
- {%- endif %}
110
- {%- if loop.first %}
111
- {%- if content|trim %}
112
- {{- '\n\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
113
- {%- else %}
114
- {{- '<tool_call>\n<function=' + tool_call.name + '>\n' }}
115
- {%- endif %}
116
- {%- else %}
117
- {{- '\n<tool_call>\n<function=' + tool_call.name + '>\n' }}
118
- {%- endif %}
119
- {%- if tool_call.arguments is defined %}
120
- {%- for args_name, args_value in tool_call.arguments|items %}
121
- {{- '<parameter=' + args_name + '>\n' }}
122
- {%- set args_value = args_value | tojson | safe if args_value is mapping or (args_value is sequence and args_value is not string) else args_value | string %}
123
- {{- args_value }}
124
- {{- '\n</parameter>\n' }}
125
- {%- endfor %}
126
- {%- endif %}
127
- {{- '</function>\n</tool_call>' }}
128
- {%- endfor %}
129
- {%- endif %}
130
- {{- '<|im_end|>\n' }}
131
- {%- elif message.role == "tool" %}
132
- {%- if loop.previtem and loop.previtem.role != "tool" %}
133
- {{- '<|im_start|>user' }}
134
- {%- endif %}
135
- {{- '\n<tool_response>\n' }}
136
- {{- content }}
137
- {{- '\n</tool_response>' }}
138
- {%- if not loop.last and loop.nextitem.role != "tool" %}
139
- {{- '<|im_end|>\n' }}
140
- {%- elif loop.last %}
141
- {{- '<|im_end|>\n' }}
142
- {%- endif %}
143
- {%- else %}
144
- {{- raise_exception('Unexpected message role.') }}
145
- {%- endif %}
146
- {%- endfor %}
147
- {%- if add_generation_prompt %}
148
- {{- '<|im_start|>assistant\n' }}
149
- {%- if enable_thinking is defined and enable_thinking is false %}
150
- {{- '<think>\n\n</think>\n\n' }}
151
- {%- else %}
152
- {{- '<think>\n' }}
153
- {%- endif %}
154
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
finetune/style_checkpoint/checkpoint-44/optimizer.pt DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:e0c393eb649466fef43e60bd28f3fa487141df8e06fbbac4c1ef81fdb3041786
3
- size 173539507
 
 
 
 
finetune/style_checkpoint/checkpoint-44/rng_state.pth DELETED
@@ -1,3 +0,0 @@
1
- version https://git-lfs.github.com/spec/v1
2
- oid sha256:39fe84eb65ca8488e36557b0ca39dd485c262ba68865254ec0e97dc4ec1802dc
3
- size 14645