jmtss commited on
Commit
c6ac2a3
·
verified ·
1 Parent(s): 4c0e127

Add checkpoint checkpoint-200

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ checkpoint-200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
checkpoint-200/README.md ADDED
@@ -0,0 +1,210 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: khoi11/Qwen3.6-35B-A3B-Uncensored-HauhauCS-FP16
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - base_model:adapter:khoi11/Qwen3.6-35B-A3B-Uncensored-HauhauCS-FP16
7
+ - lora
8
+ - sft
9
+ - transformers
10
+ - trl
11
+ - unsloth
12
+ ---
13
+
14
+ # Model Card for Model ID
15
+
16
+ <!-- Provide a quick summary of what the model is/does. -->
17
+
18
+
19
+
20
+ ## Model Details
21
+
22
+ ### Model Description
23
+
24
+ <!-- Provide a longer summary of what this model is. -->
25
+
26
+
27
+
28
+ - **Developed by:** [More Information Needed]
29
+ - **Funded by [optional]:** [More Information Needed]
30
+ - **Shared by [optional]:** [More Information Needed]
31
+ - **Model type:** [More Information Needed]
32
+ - **Language(s) (NLP):** [More Information Needed]
33
+ - **License:** [More Information Needed]
34
+ - **Finetuned from model [optional]:** [More Information Needed]
35
+
36
+ ### Model Sources [optional]
37
+
38
+ <!-- Provide the basic links for the model. -->
39
+
40
+ - **Repository:** [More Information Needed]
41
+ - **Paper [optional]:** [More Information Needed]
42
+ - **Demo [optional]:** [More Information Needed]
43
+
44
+ ## Uses
45
+
46
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
47
+
48
+ ### Direct Use
49
+
50
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
51
+
52
+ [More Information Needed]
53
+
54
+ ### Downstream Use [optional]
55
+
56
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
57
+
58
+ [More Information Needed]
59
+
60
+ ### Out-of-Scope Use
61
+
62
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
63
+
64
+ [More Information Needed]
65
+
66
+ ## Bias, Risks, and Limitations
67
+
68
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
69
+
70
+ [More Information Needed]
71
+
72
+ ### Recommendations
73
+
74
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
75
+
76
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
77
+
78
+ ## How to Get Started with the Model
79
+
80
+ Use the code below to get started with the model.
81
+
82
+ [More Information Needed]
83
+
84
+ ## Training Details
85
+
86
+ ### Training Data
87
+
88
+ <!-- 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. -->
89
+
90
+ [More Information Needed]
91
+
92
+ ### Training Procedure
93
+
94
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
95
+
96
+ #### Preprocessing [optional]
97
+
98
+ [More Information Needed]
99
+
100
+
101
+ #### Training Hyperparameters
102
+
103
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
104
+
105
+ #### Speeds, Sizes, Times [optional]
106
+
107
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
108
+
109
+ [More Information Needed]
110
+
111
+ ## Evaluation
112
+
113
+ <!-- This section describes the evaluation protocols and provides the results. -->
114
+
115
+ ### Testing Data, Factors & Metrics
116
+
117
+ #### Testing Data
118
+
119
+ <!-- This should link to a Dataset Card if possible. -->
120
+
121
+ [More Information Needed]
122
+
123
+ #### Factors
124
+
125
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
126
+
127
+ [More Information Needed]
128
+
129
+ #### Metrics
130
+
131
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
132
+
133
+ [More Information Needed]
134
+
135
+ ### Results
136
+
137
+ [More Information Needed]
138
+
139
+ #### Summary
140
+
141
+
142
+
143
+ ## Model Examination [optional]
144
+
145
+ <!-- Relevant interpretability work for the model goes here -->
146
+
147
+ [More Information Needed]
148
+
149
+ ## Environmental Impact
150
+
151
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
152
+
153
+ 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).
154
+
155
+ - **Hardware Type:** [More Information Needed]
156
+ - **Hours used:** [More Information Needed]
157
+ - **Cloud Provider:** [More Information Needed]
158
+ - **Compute Region:** [More Information Needed]
159
+ - **Carbon Emitted:** [More Information Needed]
160
+
161
+ ## Technical Specifications [optional]
162
+
163
+ ### Model Architecture and Objective
164
+
165
+ [More Information Needed]
166
+
167
+ ### Compute Infrastructure
168
+
169
+ [More Information Needed]
170
+
171
+ #### Hardware
172
+
173
+ [More Information Needed]
174
+
175
+ #### Software
176
+
177
+ [More Information Needed]
178
+
179
+ ## Citation [optional]
180
+
181
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
182
+
183
+ **BibTeX:**
184
+
185
+ [More Information Needed]
186
+
187
+ **APA:**
188
+
189
+ [More Information Needed]
190
+
191
+ ## Glossary [optional]
192
+
193
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
194
+
195
+ [More Information Needed]
196
+
197
+ ## More Information [optional]
198
+
199
+ [More Information Needed]
200
+
201
+ ## Model Card Authors [optional]
202
+
203
+ [More Information Needed]
204
+
205
+ ## Model Card Contact
206
+
207
+ [More Information Needed]
208
+ ### Framework versions
209
+
210
+ - PEFT 0.19.1
checkpoint-200/adapter_config.json ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "alora_invocation_tokens": null,
3
+ "alpha_pattern": {},
4
+ "arrow_config": null,
5
+ "auto_mapping": {
6
+ "base_model_class": "Qwen3_5MoeForConditionalGeneration",
7
+ "parent_library": "transformers.models.qwen3_5_moe.modeling_qwen3_5_moe",
8
+ "unsloth_fixed": true
9
+ },
10
+ "base_model_name_or_path": "khoi11/Qwen3.6-35B-A3B-Uncensored-HauhauCS-FP16",
11
+ "bias": "none",
12
+ "corda_config": null,
13
+ "ensure_weight_tying": false,
14
+ "eva_config": null,
15
+ "exclude_modules": null,
16
+ "fan_in_fan_out": false,
17
+ "inference_mode": true,
18
+ "init_lora_weights": true,
19
+ "layer_replication": null,
20
+ "layers_pattern": null,
21
+ "layers_to_transform": null,
22
+ "loftq_config": {},
23
+ "lora_alpha": 32,
24
+ "lora_bias": false,
25
+ "lora_dropout": 0.0,
26
+ "lora_ga_config": null,
27
+ "megatron_config": null,
28
+ "megatron_core": "megatron.core",
29
+ "modules_to_save": null,
30
+ "peft_type": "LORA",
31
+ "peft_version": "0.19.1",
32
+ "qalora_group_size": 16,
33
+ "r": 16,
34
+ "rank_pattern": {},
35
+ "revision": null,
36
+ "target_modules": [
37
+ "k_proj",
38
+ "o_proj",
39
+ "v_proj",
40
+ "q_proj"
41
+ ],
42
+ "target_parameters": [],
43
+ "task_type": "CAUSAL_LM",
44
+ "trainable_token_indices": null,
45
+ "use_bdlora": null,
46
+ "use_dora": false,
47
+ "use_qalora": false,
48
+ "use_rslora": false
49
+ }
checkpoint-200/adapter_model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:56dd1ca854bd2836b1281a71879f57e83162b9d0e6eaab22090327fc387b02e0
3
+ size 6893176
checkpoint-200/chat_template.jinja ADDED
@@ -0,0 +1,154 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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 (preserve_thinking is defined and preserve_thinking is true) or (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 | string if args_value is string else args_value | tojson | safe %}
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 %}
checkpoint-200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:31d838c6fc943ba2760fe0680da311ff28d31f31abbd0df6bcf3811ac7fad8f3
3
+ size 13830603
checkpoint-200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3d5c0d6f48d8250ac96880efe2a827b7a36c6e877978fd1546b1e6bd53829c80
3
+ size 14645
checkpoint-200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a8a30e5acc98c363e72c12d8993c27e8f37370fc097906cf5f18781f1a5d5246
3
+ size 1465
checkpoint-200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:dd6b8cf757c22939ad262adb1077fa3b8e7cbb89054bc2507630b0f6aafd80ae
3
+ size 19989442
checkpoint-200/tokenizer_config.json ADDED
@@ -0,0 +1,298 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ "model_max_length": 262144,
14
+ "model_specific_special_tokens": {
15
+ "audio_bos_token": "<|audio_start|>",
16
+ "audio_eos_token": "<|audio_end|>",
17
+ "audio_token": "<|audio_pad|>",
18
+ "image_token": "<|image_pad|>",
19
+ "video_token": "<|video_pad|>",
20
+ "vision_bos_token": "<|vision_start|>",
21
+ "vision_eos_token": "<|vision_end|>"
22
+ },
23
+ "pad_token": "<|endoftext|>",
24
+ "padding_side": "right",
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": "TokenizersBackend",
28
+ "unk_token": null,
29
+ "video_token": "<|video_pad|>",
30
+ "vision_bos_token": "<|vision_start|>",
31
+ "vision_eos_token": "<|vision_end|>",
32
+ "added_tokens_decoder": {
33
+ "248044": {
34
+ "content": "<|endoftext|>",
35
+ "single_word": false,
36
+ "lstrip": false,
37
+ "rstrip": false,
38
+ "normalized": false,
39
+ "special": true
40
+ },
41
+ "248045": {
42
+ "content": "<|im_start|>",
43
+ "single_word": false,
44
+ "lstrip": false,
45
+ "rstrip": false,
46
+ "normalized": false,
47
+ "special": true
48
+ },
49
+ "248046": {
50
+ "content": "<|im_end|>",
51
+ "single_word": false,
52
+ "lstrip": false,
53
+ "rstrip": false,
54
+ "normalized": false,
55
+ "special": true
56
+ },
57
+ "248047": {
58
+ "content": "<|object_ref_start|>",
59
+ "single_word": false,
60
+ "lstrip": false,
61
+ "rstrip": false,
62
+ "normalized": false,
63
+ "special": true
64
+ },
65
+ "248048": {
66
+ "content": "<|object_ref_end|>",
67
+ "single_word": false,
68
+ "lstrip": false,
69
+ "rstrip": false,
70
+ "normalized": false,
71
+ "special": true
72
+ },
73
+ "248049": {
74
+ "content": "<|box_start|>",
75
+ "single_word": false,
76
+ "lstrip": false,
77
+ "rstrip": false,
78
+ "normalized": false,
79
+ "special": true
80
+ },
81
+ "248050": {
82
+ "content": "<|box_end|>",
83
+ "single_word": false,
84
+ "lstrip": false,
85
+ "rstrip": false,
86
+ "normalized": false,
87
+ "special": true
88
+ },
89
+ "248051": {
90
+ "content": "<|quad_start|>",
91
+ "single_word": false,
92
+ "lstrip": false,
93
+ "rstrip": false,
94
+ "normalized": false,
95
+ "special": true
96
+ },
97
+ "248052": {
98
+ "content": "<|quad_end|>",
99
+ "single_word": false,
100
+ "lstrip": false,
101
+ "rstrip": false,
102
+ "normalized": false,
103
+ "special": true
104
+ },
105
+ "248053": {
106
+ "content": "<|vision_start|>",
107
+ "single_word": false,
108
+ "lstrip": false,
109
+ "rstrip": false,
110
+ "normalized": false,
111
+ "special": true
112
+ },
113
+ "248054": {
114
+ "content": "<|vision_end|>",
115
+ "single_word": false,
116
+ "lstrip": false,
117
+ "rstrip": false,
118
+ "normalized": false,
119
+ "special": true
120
+ },
121
+ "248055": {
122
+ "content": "<|vision_pad|>",
123
+ "single_word": false,
124
+ "lstrip": false,
125
+ "rstrip": false,
126
+ "normalized": false,
127
+ "special": true
128
+ },
129
+ "248056": {
130
+ "content": "<|image_pad|>",
131
+ "single_word": false,
132
+ "lstrip": false,
133
+ "rstrip": false,
134
+ "normalized": false,
135
+ "special": true
136
+ },
137
+ "248057": {
138
+ "content": "<|video_pad|>",
139
+ "single_word": false,
140
+ "lstrip": false,
141
+ "rstrip": false,
142
+ "normalized": false,
143
+ "special": true
144
+ },
145
+ "248058": {
146
+ "content": "<tool_call>",
147
+ "single_word": false,
148
+ "lstrip": false,
149
+ "rstrip": false,
150
+ "normalized": false,
151
+ "special": false
152
+ },
153
+ "248059": {
154
+ "content": "</tool_call>",
155
+ "single_word": false,
156
+ "lstrip": false,
157
+ "rstrip": false,
158
+ "normalized": false,
159
+ "special": false
160
+ },
161
+ "248060": {
162
+ "content": "<|fim_prefix|>",
163
+ "single_word": false,
164
+ "lstrip": false,
165
+ "rstrip": false,
166
+ "normalized": false,
167
+ "special": false
168
+ },
169
+ "248061": {
170
+ "content": "<|fim_middle|>",
171
+ "single_word": false,
172
+ "lstrip": false,
173
+ "rstrip": false,
174
+ "normalized": false,
175
+ "special": false
176
+ },
177
+ "248062": {
178
+ "content": "<|fim_suffix|>",
179
+ "single_word": false,
180
+ "lstrip": false,
181
+ "rstrip": false,
182
+ "normalized": false,
183
+ "special": false
184
+ },
185
+ "248063": {
186
+ "content": "<|fim_pad|>",
187
+ "single_word": false,
188
+ "lstrip": false,
189
+ "rstrip": false,
190
+ "normalized": false,
191
+ "special": false
192
+ },
193
+ "248064": {
194
+ "content": "<|repo_name|>",
195
+ "single_word": false,
196
+ "lstrip": false,
197
+ "rstrip": false,
198
+ "normalized": false,
199
+ "special": false
200
+ },
201
+ "248065": {
202
+ "content": "<|file_sep|>",
203
+ "single_word": false,
204
+ "lstrip": false,
205
+ "rstrip": false,
206
+ "normalized": false,
207
+ "special": false
208
+ },
209
+ "248066": {
210
+ "content": "<tool_response>",
211
+ "single_word": false,
212
+ "lstrip": false,
213
+ "rstrip": false,
214
+ "normalized": false,
215
+ "special": false
216
+ },
217
+ "248067": {
218
+ "content": "</tool_response>",
219
+ "single_word": false,
220
+ "lstrip": false,
221
+ "rstrip": false,
222
+ "normalized": false,
223
+ "special": false
224
+ },
225
+ "248068": {
226
+ "content": "<think>",
227
+ "single_word": false,
228
+ "lstrip": false,
229
+ "rstrip": false,
230
+ "normalized": false,
231
+ "special": false
232
+ },
233
+ "248069": {
234
+ "content": "</think>",
235
+ "single_word": false,
236
+ "lstrip": false,
237
+ "rstrip": false,
238
+ "normalized": false,
239
+ "special": false
240
+ },
241
+ "248070": {
242
+ "content": "<|audio_start|>",
243
+ "single_word": false,
244
+ "lstrip": false,
245
+ "rstrip": false,
246
+ "normalized": false,
247
+ "special": true
248
+ },
249
+ "248071": {
250
+ "content": "<|audio_end|>",
251
+ "single_word": false,
252
+ "lstrip": false,
253
+ "rstrip": false,
254
+ "normalized": false,
255
+ "special": true
256
+ },
257
+ "248072": {
258
+ "content": "<tts_pad>",
259
+ "single_word": false,
260
+ "lstrip": false,
261
+ "rstrip": false,
262
+ "normalized": false,
263
+ "special": true
264
+ },
265
+ "248073": {
266
+ "content": "<tts_text_bos>",
267
+ "single_word": false,
268
+ "lstrip": false,
269
+ "rstrip": false,
270
+ "normalized": false,
271
+ "special": true
272
+ },
273
+ "248074": {
274
+ "content": "<tts_text_eod>",
275
+ "single_word": false,
276
+ "lstrip": false,
277
+ "rstrip": false,
278
+ "normalized": false,
279
+ "special": true
280
+ },
281
+ "248075": {
282
+ "content": "<tts_text_bos_single>",
283
+ "single_word": false,
284
+ "lstrip": false,
285
+ "rstrip": false,
286
+ "normalized": false,
287
+ "special": true
288
+ },
289
+ "248076": {
290
+ "content": "<|audio_pad|>",
291
+ "single_word": false,
292
+ "lstrip": false,
293
+ "rstrip": false,
294
+ "normalized": false,
295
+ "special": true
296
+ }
297
+ }
298
+ }
checkpoint-200/trainer_state.json ADDED
@@ -0,0 +1,314 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.32,
6
+ "eval_steps": 500,
7
+ "global_step": 200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.008,
14
+ "grad_norm": 0.11767578125,
15
+ "learning_rate": 0.00016,
16
+ "loss": 0.6554988384246826,
17
+ "step": 5
18
+ },
19
+ {
20
+ "epoch": 0.016,
21
+ "grad_norm": 0.126953125,
22
+ "learning_rate": 0.00019870967741935483,
23
+ "loss": 0.6316752910614014,
24
+ "step": 10
25
+ },
26
+ {
27
+ "epoch": 0.024,
28
+ "grad_norm": 0.05908203125,
29
+ "learning_rate": 0.0001970967741935484,
30
+ "loss": 0.6129528522491455,
31
+ "step": 15
32
+ },
33
+ {
34
+ "epoch": 0.032,
35
+ "grad_norm": 0.062255859375,
36
+ "learning_rate": 0.00019548387096774195,
37
+ "loss": 0.60089111328125,
38
+ "step": 20
39
+ },
40
+ {
41
+ "epoch": 0.04,
42
+ "grad_norm": 0.0546875,
43
+ "learning_rate": 0.00019387096774193548,
44
+ "loss": 0.6051591873168946,
45
+ "step": 25
46
+ },
47
+ {
48
+ "epoch": 0.048,
49
+ "grad_norm": 0.053955078125,
50
+ "learning_rate": 0.00019225806451612904,
51
+ "loss": 0.5910581588745117,
52
+ "step": 30
53
+ },
54
+ {
55
+ "epoch": 0.056,
56
+ "grad_norm": 0.04931640625,
57
+ "learning_rate": 0.0001906451612903226,
58
+ "loss": 0.5913372993469238,
59
+ "step": 35
60
+ },
61
+ {
62
+ "epoch": 0.064,
63
+ "grad_norm": 0.05078125,
64
+ "learning_rate": 0.00018903225806451616,
65
+ "loss": 0.5835432052612305,
66
+ "step": 40
67
+ },
68
+ {
69
+ "epoch": 0.072,
70
+ "grad_norm": 0.047119140625,
71
+ "learning_rate": 0.0001874193548387097,
72
+ "loss": 0.5777533054351807,
73
+ "step": 45
74
+ },
75
+ {
76
+ "epoch": 0.08,
77
+ "grad_norm": 0.04833984375,
78
+ "learning_rate": 0.00018580645161290325,
79
+ "loss": 0.5595584392547608,
80
+ "step": 50
81
+ },
82
+ {
83
+ "epoch": 0.088,
84
+ "grad_norm": 0.1103515625,
85
+ "learning_rate": 0.0001841935483870968,
86
+ "loss": 0.5782830715179443,
87
+ "step": 55
88
+ },
89
+ {
90
+ "epoch": 0.096,
91
+ "grad_norm": 0.052001953125,
92
+ "learning_rate": 0.00018258064516129033,
93
+ "loss": 0.561436939239502,
94
+ "step": 60
95
+ },
96
+ {
97
+ "epoch": 0.104,
98
+ "grad_norm": 0.0537109375,
99
+ "learning_rate": 0.00018096774193548387,
100
+ "loss": 0.5930795192718505,
101
+ "step": 65
102
+ },
103
+ {
104
+ "epoch": 0.112,
105
+ "grad_norm": 0.051513671875,
106
+ "learning_rate": 0.00017935483870967742,
107
+ "loss": 0.5740991592407226,
108
+ "step": 70
109
+ },
110
+ {
111
+ "epoch": 0.12,
112
+ "grad_norm": 0.053955078125,
113
+ "learning_rate": 0.00017774193548387098,
114
+ "loss": 0.5711933135986328,
115
+ "step": 75
116
+ },
117
+ {
118
+ "epoch": 0.128,
119
+ "grad_norm": 0.054443359375,
120
+ "learning_rate": 0.0001761290322580645,
121
+ "loss": 0.5878489494323731,
122
+ "step": 80
123
+ },
124
+ {
125
+ "epoch": 0.136,
126
+ "grad_norm": 0.083984375,
127
+ "learning_rate": 0.00017451612903225807,
128
+ "loss": 0.5775240421295166,
129
+ "step": 85
130
+ },
131
+ {
132
+ "epoch": 0.144,
133
+ "grad_norm": 0.06298828125,
134
+ "learning_rate": 0.00017290322580645163,
135
+ "loss": 0.5785224914550782,
136
+ "step": 90
137
+ },
138
+ {
139
+ "epoch": 0.152,
140
+ "grad_norm": 0.058837890625,
141
+ "learning_rate": 0.00017129032258064516,
142
+ "loss": 0.5774213314056397,
143
+ "step": 95
144
+ },
145
+ {
146
+ "epoch": 0.16,
147
+ "grad_norm": 0.0556640625,
148
+ "learning_rate": 0.00016967741935483872,
149
+ "loss": 0.5569428443908692,
150
+ "step": 100
151
+ },
152
+ {
153
+ "epoch": 0.168,
154
+ "grad_norm": 0.057373046875,
155
+ "learning_rate": 0.00016806451612903228,
156
+ "loss": 0.5698188304901123,
157
+ "step": 105
158
+ },
159
+ {
160
+ "epoch": 0.176,
161
+ "grad_norm": 0.057861328125,
162
+ "learning_rate": 0.0001664516129032258,
163
+ "loss": 0.574033784866333,
164
+ "step": 110
165
+ },
166
+ {
167
+ "epoch": 0.184,
168
+ "grad_norm": 0.057373046875,
169
+ "learning_rate": 0.00016483870967741937,
170
+ "loss": 0.5798182010650634,
171
+ "step": 115
172
+ },
173
+ {
174
+ "epoch": 0.192,
175
+ "grad_norm": 0.06884765625,
176
+ "learning_rate": 0.00016322580645161292,
177
+ "loss": 0.5746054172515869,
178
+ "step": 120
179
+ },
180
+ {
181
+ "epoch": 0.2,
182
+ "grad_norm": 0.37109375,
183
+ "learning_rate": 0.00016161290322580645,
184
+ "loss": 0.5746851921081543,
185
+ "step": 125
186
+ },
187
+ {
188
+ "epoch": 0.208,
189
+ "grad_norm": 0.059326171875,
190
+ "learning_rate": 0.00016,
191
+ "loss": 0.5720233917236328,
192
+ "step": 130
193
+ },
194
+ {
195
+ "epoch": 0.216,
196
+ "grad_norm": 0.058349609375,
197
+ "learning_rate": 0.00015838709677419357,
198
+ "loss": 0.5694709777832031,
199
+ "step": 135
200
+ },
201
+ {
202
+ "epoch": 0.224,
203
+ "grad_norm": 0.06005859375,
204
+ "learning_rate": 0.0001567741935483871,
205
+ "loss": 0.56185941696167,
206
+ "step": 140
207
+ },
208
+ {
209
+ "epoch": 0.232,
210
+ "grad_norm": 0.06005859375,
211
+ "learning_rate": 0.00015516129032258063,
212
+ "loss": 0.5761864662170411,
213
+ "step": 145
214
+ },
215
+ {
216
+ "epoch": 0.24,
217
+ "grad_norm": 0.059814453125,
218
+ "learning_rate": 0.0001535483870967742,
219
+ "loss": 0.5672729969024658,
220
+ "step": 150
221
+ },
222
+ {
223
+ "epoch": 0.248,
224
+ "grad_norm": 0.05859375,
225
+ "learning_rate": 0.00015193548387096775,
226
+ "loss": 0.5709065437316895,
227
+ "step": 155
228
+ },
229
+ {
230
+ "epoch": 0.256,
231
+ "grad_norm": 0.06298828125,
232
+ "learning_rate": 0.00015032258064516128,
233
+ "loss": 0.5686789989471436,
234
+ "step": 160
235
+ },
236
+ {
237
+ "epoch": 0.264,
238
+ "grad_norm": 0.0595703125,
239
+ "learning_rate": 0.00014870967741935484,
240
+ "loss": 0.5607232570648193,
241
+ "step": 165
242
+ },
243
+ {
244
+ "epoch": 0.272,
245
+ "grad_norm": 0.06298828125,
246
+ "learning_rate": 0.0001470967741935484,
247
+ "loss": 0.5666838645935058,
248
+ "step": 170
249
+ },
250
+ {
251
+ "epoch": 0.28,
252
+ "grad_norm": 0.062255859375,
253
+ "learning_rate": 0.00014548387096774196,
254
+ "loss": 0.5663557052612305,
255
+ "step": 175
256
+ },
257
+ {
258
+ "epoch": 0.288,
259
+ "grad_norm": 0.06103515625,
260
+ "learning_rate": 0.00014387096774193549,
261
+ "loss": 0.5619307518005371,
262
+ "step": 180
263
+ },
264
+ {
265
+ "epoch": 0.296,
266
+ "grad_norm": 0.06494140625,
267
+ "learning_rate": 0.00014225806451612904,
268
+ "loss": 0.5675935268402099,
269
+ "step": 185
270
+ },
271
+ {
272
+ "epoch": 0.304,
273
+ "grad_norm": 0.09375,
274
+ "learning_rate": 0.0001406451612903226,
275
+ "loss": 0.558326530456543,
276
+ "step": 190
277
+ },
278
+ {
279
+ "epoch": 0.312,
280
+ "grad_norm": 0.068359375,
281
+ "learning_rate": 0.00013903225806451613,
282
+ "loss": 0.5571943759918213,
283
+ "step": 195
284
+ },
285
+ {
286
+ "epoch": 0.32,
287
+ "grad_norm": 0.06787109375,
288
+ "learning_rate": 0.0001374193548387097,
289
+ "loss": 0.5767090797424317,
290
+ "step": 200
291
+ }
292
+ ],
293
+ "logging_steps": 5,
294
+ "max_steps": 625,
295
+ "num_input_tokens_seen": 0,
296
+ "num_train_epochs": 9223372036854775807,
297
+ "save_steps": 200,
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": false
306
+ },
307
+ "attributes": {}
308
+ }
309
+ },
310
+ "total_flos": 4.881105397909977e+18,
311
+ "train_batch_size": 1,
312
+ "trial_name": null,
313
+ "trial_params": null
314
+ }
checkpoint-200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:10a24cfc6ee2186c0446e0fd75df783a654c15395f9ddc0908f39a0fc528fd00
3
+ size 5713