Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- chat_template.jinja +154 -0
- config.json +107 -0
- generation_config.json +10 -0
- metrics.jsonl +16 -0
- model.safetensors +3 -0
- preprocessor_config.json +21 -0
- tokenizer.json +3 -0
- tokenizer_config.json +31 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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chat_template.jinja
ADDED
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@@ -0,0 +1,154 @@
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| 1 |
+
{%- set image_count = namespace(value=0) %}
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| 2 |
+
{%- set video_count = namespace(value=0) %}
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| 3 |
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{%- macro render_content(content, do_vision_count, is_system_content=false) %}
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| 4 |
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{%- if content is string %}
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{{- content }}
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{%- elif content is iterable and content is not mapping %}
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{%- for item in content %}
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| 8 |
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{%- if 'image' in item or 'image_url' in item or item.type == 'image' %}
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| 9 |
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{%- if is_system_content %}
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| 10 |
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{{- raise_exception('System message cannot contain images.') }}
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| 11 |
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{%- endif %}
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| 12 |
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{%- if do_vision_count %}
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{%- set image_count.value = image_count.value + 1 %}
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{%- endif %}
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| 15 |
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{%- if add_vision_id %}
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{{- 'Picture ' ~ image_count.value ~ ': ' }}
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{%- endif %}
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| 18 |
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{{- '<|vision_start|><|image_pad|><|vision_end|>' }}
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{%- elif 'video' in item or item.type == 'video' %}
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{%- if is_system_content %}
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{{- raise_exception('System message cannot contain videos.') }}
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{%- endif %}
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{%- if do_vision_count %}
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{%- set video_count.value = video_count.value + 1 %}
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{%- endif %}
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| 26 |
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{%- if add_vision_id %}
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{{- 'Video ' ~ video_count.value ~ ': ' }}
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| 28 |
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{%- endif %}
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| 29 |
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{{- '<|vision_start|><|video_pad|><|vision_end|>' }}
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{%- elif 'text' in item %}
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| 31 |
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{{- item.text }}
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{%- else %}
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| 33 |
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{{- raise_exception('Unexpected item type in content.') }}
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| 34 |
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{%- endif %}
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{%- endfor %}
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| 36 |
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{%- elif content is none or content is undefined %}
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{{- '' }}
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| 38 |
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{%- else %}
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| 39 |
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{{- raise_exception('Unexpected content type.') }}
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| 40 |
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{%- endif %}
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| 41 |
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{%- endmacro %}
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| 42 |
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{%- if not messages %}
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| 43 |
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{{- raise_exception('No messages provided.') }}
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| 44 |
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{%- endif %}
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| 45 |
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{%- if tools and tools is iterable and tools is not mapping %}
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| 46 |
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{{- '<|im_start|>system\n' }}
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| 47 |
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{{- "# Tools\n\nYou have access to the following functions:\n\n<tools>" }}
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| 48 |
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{%- for tool in tools %}
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| 49 |
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{{- "\n" }}
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| 50 |
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{{- tool | tojson }}
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{%- endfor %}
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| 52 |
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{{- "\n</tools>" }}
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{{- '\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>' }}
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| 54 |
+
{%- if messages[0].role == 'system' %}
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| 55 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 56 |
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{%- if content %}
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| 57 |
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{{- '\n\n' + content }}
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| 58 |
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{%- endif %}
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| 59 |
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{%- endif %}
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| 60 |
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{{- '<|im_end|>\n' }}
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| 61 |
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{%- else %}
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| 62 |
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{%- if messages[0].role == 'system' %}
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| 63 |
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{%- set content = render_content(messages[0].content, false, true)|trim %}
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| 64 |
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{{- '<|im_start|>system\n' + content + '<|im_end|>\n' }}
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| 65 |
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{%- endif %}
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| 66 |
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{%- endif %}
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| 67 |
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{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
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| 68 |
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{%- for message in messages[::-1] %}
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| 69 |
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{%- set index = (messages|length - 1) - loop.index0 %}
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| 70 |
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{%- if ns.multi_step_tool and message.role == "user" %}
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| 71 |
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{%- set content = render_content(message.content, false)|trim %}
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| 72 |
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{%- if not(content.startswith('<tool_response>') and content.endswith('</tool_response>')) %}
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| 73 |
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{%- set ns.multi_step_tool = false %}
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| 74 |
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{%- set ns.last_query_index = index %}
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| 75 |
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{%- endif %}
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| 76 |
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{%- endif %}
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| 77 |
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{%- endfor %}
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| 78 |
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{%- if ns.multi_step_tool %}
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| 79 |
+
{{- raise_exception('No user query found in messages.') }}
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| 80 |
+
{%- endif %}
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| 81 |
+
{%- for message in messages %}
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| 82 |
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{%- set content = render_content(message.content, true)|trim %}
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| 83 |
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{%- if message.role == "system" %}
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| 84 |
+
{%- if not loop.first %}
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| 85 |
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{{- raise_exception('System message must be at the beginning.') }}
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| 86 |
+
{%- endif %}
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| 87 |
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{%- elif message.role == "user" %}
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| 88 |
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{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
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| 89 |
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{%- elif message.role == "assistant" %}
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| 90 |
+
{%- set reasoning_content = '' %}
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| 91 |
+
{%- if message.reasoning_content is string %}
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| 92 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 93 |
+
{%- else %}
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| 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 %}
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config.json
ADDED
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@@ -0,0 +1,107 @@
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|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Qwen3_5ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"image_token_id": 248056,
|
| 6 |
+
"model_type": "qwen3_5",
|
| 7 |
+
"text_config": {
|
| 8 |
+
"attention_bias": false,
|
| 9 |
+
"attention_dropout": 0.0,
|
| 10 |
+
"attn_output_gate": true,
|
| 11 |
+
"bos_token_id": null,
|
| 12 |
+
"dtype": "bfloat16",
|
| 13 |
+
"eos_token_id": 248046,
|
| 14 |
+
"full_attention_interval": 4,
|
| 15 |
+
"head_dim": 256,
|
| 16 |
+
"hidden_act": "silu",
|
| 17 |
+
"hidden_size": 2560,
|
| 18 |
+
"initializer_range": 0.02,
|
| 19 |
+
"intermediate_size": 9216,
|
| 20 |
+
"layer_types": [
|
| 21 |
+
"linear_attention",
|
| 22 |
+
"linear_attention",
|
| 23 |
+
"linear_attention",
|
| 24 |
+
"full_attention",
|
| 25 |
+
"linear_attention",
|
| 26 |
+
"linear_attention",
|
| 27 |
+
"linear_attention",
|
| 28 |
+
"full_attention",
|
| 29 |
+
"linear_attention",
|
| 30 |
+
"linear_attention",
|
| 31 |
+
"linear_attention",
|
| 32 |
+
"full_attention",
|
| 33 |
+
"linear_attention",
|
| 34 |
+
"linear_attention",
|
| 35 |
+
"linear_attention",
|
| 36 |
+
"full_attention",
|
| 37 |
+
"linear_attention",
|
| 38 |
+
"linear_attention",
|
| 39 |
+
"linear_attention",
|
| 40 |
+
"full_attention",
|
| 41 |
+
"linear_attention",
|
| 42 |
+
"linear_attention",
|
| 43 |
+
"linear_attention",
|
| 44 |
+
"full_attention",
|
| 45 |
+
"linear_attention",
|
| 46 |
+
"linear_attention",
|
| 47 |
+
"linear_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"linear_attention",
|
| 50 |
+
"linear_attention",
|
| 51 |
+
"linear_attention",
|
| 52 |
+
"full_attention"
|
| 53 |
+
],
|
| 54 |
+
"linear_conv_kernel_dim": 4,
|
| 55 |
+
"linear_key_head_dim": 128,
|
| 56 |
+
"linear_num_key_heads": 16,
|
| 57 |
+
"linear_num_value_heads": 32,
|
| 58 |
+
"linear_value_head_dim": 128,
|
| 59 |
+
"mamba_ssm_dtype": "float32",
|
| 60 |
+
"max_position_embeddings": 262144,
|
| 61 |
+
"mlp_only_layers": [],
|
| 62 |
+
"model_type": "qwen3_5_text",
|
| 63 |
+
"mtp_num_hidden_layers": 1,
|
| 64 |
+
"mtp_use_dedicated_embeddings": false,
|
| 65 |
+
"num_attention_heads": 16,
|
| 66 |
+
"num_hidden_layers": 32,
|
| 67 |
+
"num_key_value_heads": 4,
|
| 68 |
+
"pad_token_id": 248044,
|
| 69 |
+
"partial_rotary_factor": 0.25,
|
| 70 |
+
"rms_norm_eps": 1e-06,
|
| 71 |
+
"rope_parameters": {
|
| 72 |
+
"mrope_interleaved": true,
|
| 73 |
+
"mrope_section": [
|
| 74 |
+
11,
|
| 75 |
+
11,
|
| 76 |
+
10
|
| 77 |
+
],
|
| 78 |
+
"partial_rotary_factor": 0.25,
|
| 79 |
+
"rope_theta": 10000000,
|
| 80 |
+
"rope_type": "default"
|
| 81 |
+
},
|
| 82 |
+
"tie_word_embeddings": false,
|
| 83 |
+
"use_cache": false,
|
| 84 |
+
"vocab_size": 248320
|
| 85 |
+
},
|
| 86 |
+
"tie_word_embeddings": false,
|
| 87 |
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"transformers_version": "4.57.0.dev0",
|
| 88 |
+
"video_token_id": 248057,
|
| 89 |
+
"vision_config": {
|
| 90 |
+
"deepstack_visual_indexes": [],
|
| 91 |
+
"depth": 24,
|
| 92 |
+
"hidden_act": "gelu_pytorch_tanh",
|
| 93 |
+
"hidden_size": 1024,
|
| 94 |
+
"in_channels": 3,
|
| 95 |
+
"initializer_range": 0.02,
|
| 96 |
+
"intermediate_size": 4096,
|
| 97 |
+
"model_type": "qwen3_5",
|
| 98 |
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"num_heads": 16,
|
| 99 |
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"num_position_embeddings": 2304,
|
| 100 |
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"out_hidden_size": 2560,
|
| 101 |
+
"patch_size": 16,
|
| 102 |
+
"spatial_merge_size": 2,
|
| 103 |
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"temporal_patch_size": 2
|
| 104 |
+
},
|
| 105 |
+
"vision_end_token_id": 248054,
|
| 106 |
+
"vision_start_token_id": 248053
|
| 107 |
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}
|
generation_config.json
ADDED
|
@@ -0,0 +1,10 @@
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_from_model_config": true,
|
| 3 |
+
"eos_token_id": [
|
| 4 |
+
248046,
|
| 5 |
+
248044
|
| 6 |
+
],
|
| 7 |
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"pad_token_id": 248044,
|
| 8 |
+
"transformers_version": "5.5.0",
|
| 9 |
+
"use_cache": true
|
| 10 |
+
}
|
metrics.jsonl
ADDED
|
@@ -0,0 +1,16 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{"step": 0, "phase": "init", "eval_stats": {"mean": 0.04923386165185366, "std": 0.0672960452300083, "p50": 0.022098293527960777, "min": 0.0004844925133511424, "max": 0.48668980598449707, "n": 500}, "king_stats": {"mean": 0.049498221530229786, "std": 0.06802473044304799, "p50": 0.022216019220650196, "min": 0.00043115520384162664, "max": 0.5087389349937439, "n": 500}, "ttest_init": {"p": 0.006664391975965393, "t": 2.483725779551327, "delta": 0.00026435987837612626}, "ts": "2026-04-15T20:58:56.696694+00:00"}
|
| 2 |
+
{"step": 200, "lr_scale": 0.9993166823949923, "train_loss": 0.04409121069895466, "eval_stats": {"mean": 0.049311857622931714, "std": 0.06740049822603685, "p50": 0.02248609997332096, "min": 0.00048500997945666313, "max": 0.48793667554855347, "n": 500}, "ttest": {"p": 0.038884253398546245, "t": 1.7674232191084234, "delta": 0.00018636390729807317}, "time_s": 194.20898270606995, "ts": "2026-04-15T21:02:10.906022+00:00"}
|
| 3 |
+
{"step": 400, "lr_scale": 0.9830206001391626, "train_loss": 0.09009218933351804, "eval_stats": {"mean": 0.049299912346992644, "std": 0.06738868575659439, "p50": 0.02272732648998499, "min": 0.0004841182380914688, "max": 0.490262508392334, "n": 500}, "ttest": {"p": 0.01876180816796784, "t": 2.085586056138108, "delta": 0.00019830918323714285}, "time_s": 403.67871284484863, "ts": "2026-04-15T21:05:40.375748+00:00"}
|
| 4 |
+
{"step": 600, "lr_scale": 0.94576318804292, "train_loss": 0.03546153969628821, "eval_stats": {"mean": 0.049300457054632714, "std": 0.06737576218340464, "p50": 0.022611630149185658, "min": 0.00048297137254849076, "max": 0.4859647750854492, "n": 500}, "ttest": {"p": 0.03814927686852099, "t": 1.7762646608241186, "delta": 0.00019776447559706866}, "time_s": 579.6453504562378, "ts": "2026-04-15T21:08:36.342383+00:00"}
|
| 5 |
+
{"step": 800, "lr_scale": 0.8893479743996033, "train_loss": 0.05191985557030421, "eval_stats": {"mean": 0.04928062827035319, "std": 0.06744980138721185, "p50": 0.022424165159463882, "min": 0.0004840348265133798, "max": 0.48707225918769836, "n": 500}, "ttest": {"p": 0.016905746565952087, "t": 2.1281808717118613, "delta": 0.00021759325987659396}, "time_s": 777.4084146022797, "ts": "2026-04-15T21:11:54.105437+00:00"}
|
| 6 |
+
{"step": 1000, "lr_scale": 0.816505863699241, "train_loss": 0.0525697280267755, "eval_stats": {"mean": 0.04926518971985206, "std": 0.06744884865522346, "p50": 0.022657573223114014, "min": 0.00048476236406713724, "max": 0.48891204595565796, "n": 500}, "ttest": {"p": 0.015361488638152666, "t": 2.1667951964249412, "delta": 0.00023303181037772448}, "time_s": 942.2180001735687, "ts": "2026-04-15T21:14:38.915023+00:00"}
|
| 7 |
+
{"step": 1200, "lr_scale": 0.7307629410938363, "train_loss": 0.06269996974636645, "eval_stats": {"mean": 0.04932236731104785, "std": 0.06747170791022622, "p50": 0.02260004822164774, "min": 0.0004863688664045185, "max": 0.48699474334716797, "n": 500}, "ttest": {"p": 0.05062384944610116, "t": 1.6418665347020596, "delta": 0.0001758542191819288}, "time_s": 1114.9673023223877, "ts": "2026-04-15T21:17:31.664326+00:00"}
|
| 8 |
+
{"step": 1400, "lr_scale": 0.6362697843656823, "train_loss": 0.054507813227246515, "eval_stats": {"mean": 0.04921641759003978, "std": 0.06730569751655716, "p50": 0.022165304981172085, "min": 0.00048407434951514006, "max": 0.4873097240924835, "n": 500}, "ttest": {"p": 0.003951938791615225, "t": 2.6669084971505312, "delta": 0.0002818039401900023}, "time_s": 1317.0946643352509, "ts": "2026-04-15T21:20:53.791696+00:00"}
|
| 9 |
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{"step": 1600, "lr_scale": 0.5376005459343272, "train_loss": 0.05121549230534583, "eval_stats": {"mean": 0.04924376870249398, "std": 0.06731132677957478, "p50": 0.022301634773612022, "min": 0.00048451952170580626, "max": 0.4880450963973999, "n": 500}, "ttest": {"p": 0.008714042822885876, "t": 2.385499590630272, "delta": 0.000254452827735804}, "time_s": 1536.8934710025787, "ts": "2026-04-15T21:24:33.590503+00:00"}
|
| 10 |
+
{"step": 1800, "lr_scale": 0.4395315307866404, "train_loss": 0.03267911489820108, "eval_stats": {"mean": 0.04932175885187462, "std": 0.06749503591443878, "p50": 0.02254238724708557, "min": 0.00048309314297512174, "max": 0.49090704321861267, "n": 500}, "ttest": {"p": 0.03723224677449167, "t": 1.787493684844929, "delta": 0.00017646267835516482}, "time_s": 1727.296855211258, "ts": "2026-04-15T21:27:43.993876+00:00"}
|
| 11 |
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{"step": 2000, "lr_scale": 0.3468099887600999, "train_loss": 0.0548671383789042, "eval_stats": {"mean": 0.04931762715277728, "std": 0.06743361479849123, "p50": 0.022715370170772076, "min": 0.0004832783597521484, "max": 0.48859840631484985, "n": 500}, "ttest": {"p": 0.04244454490907482, "t": 1.7264295996693089, "delta": 0.0001805943774525076}, "time_s": 1917.9054906368256, "ts": "2026-04-15T21:30:54.602515+00:00"}
|
| 12 |
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{"step": 2200, "lr_scale": 0.26392431330551447, "train_loss": 0.06741220635982852, "eval_stats": {"mean": 0.04933654265879886, "std": 0.06752193702561683, "p50": 0.022373460233211517, "min": 0.00048481530393473804, "max": 0.49078568816185, "n": 500}, "ttest": {"p": 0.05609729394387138, "t": 1.591214497600559, "delta": 0.0001616788714309223}, "time_s": 2092.1539630889893, "ts": "2026-04-15T21:33:48.850984+00:00"}
|
| 13 |
+
{"step": 2400, "lr_scale": 0.19488677077162295, "train_loss": 0.06448472199917887, "eval_stats": {"mean": 0.049328347687376664, "std": 0.06751306919579182, "p50": 0.022689844481647015, "min": 0.00048434926429763436, "max": 0.4890824258327484, "n": 500}, "ttest": {"p": 0.044231922586760765, "t": 1.7068941151938304, "delta": 0.00016987384285312146}, "time_s": 2269.930186510086, "ts": "2026-04-15T21:36:46.627217+00:00"}
|
| 14 |
+
{"step": 2600, "lr_scale": 0.14303927768609015, "train_loss": 0.05854208591626957, "eval_stats": {"mean": 0.049286155009642243, "std": 0.06745644118610092, "p50": 0.02254493534564972, "min": 0.00048245437210425735, "max": 0.48773133754730225, "n": 500}, "ttest": {"p": 0.017602023455660216, "t": 2.1117535271781587, "delta": 0.00021206652058754116}, "time_s": 2480.2628870010376, "ts": "2026-04-15T21:40:16.959909+00:00"}
|
| 15 |
+
{"step": 2800, "lr_scale": 0.11089162781765398, "train_loss": 0.0502493919110358, "eval_stats": {"mean": 0.049311498976312575, "std": 0.06743956610237663, "p50": 0.022518017329275608, "min": 0.00048474076902493834, "max": 0.48754897713661194, "n": 500}, "ttest": {"p": 0.03433717967875091, "t": 1.8244997727938241, "delta": 0.0001867225539172068}, "time_s": 2649.7492282390594, "ts": "2026-04-15T21:43:06.446252+00:00"}
|
| 16 |
+
{"step": 3000, "lr_scale": 0.1, "train_loss": 0.05227821274144974, "eval_stats": {"mean": 0.049290542708768044, "std": 0.06734368691165976, "p50": 0.022627292200922966, "min": 0.00048282850184477866, "max": 0.4875483214855194, "n": 500}, "ttest": {"p": 0.02278392421476271, "t": 2.0043927578831666, "delta": 0.00020767882146174087}, "time_s": 2865.3363506793976, "ts": "2026-04-15T21:46:42.033372+00:00"}
|
model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:32b469c345dc3a54f8420c2dfcd91ac93fde361095c3371d1f3d4be81381d7e5
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| 3 |
+
size 9682956989
|
preprocessor_config.json
ADDED
|
@@ -0,0 +1,21 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"size": {
|
| 3 |
+
"longest_edge": 16777216,
|
| 4 |
+
"shortest_edge": 65536
|
| 5 |
+
},
|
| 6 |
+
"patch_size": 16,
|
| 7 |
+
"temporal_patch_size": 2,
|
| 8 |
+
"merge_size": 2,
|
| 9 |
+
"image_mean": [
|
| 10 |
+
0.5,
|
| 11 |
+
0.5,
|
| 12 |
+
0.5
|
| 13 |
+
],
|
| 14 |
+
"image_std": [
|
| 15 |
+
0.5,
|
| 16 |
+
0.5,
|
| 17 |
+
0.5
|
| 18 |
+
],
|
| 19 |
+
"processor_class": "Qwen3VLProcessor",
|
| 20 |
+
"image_processor_type": "Qwen2VLImageProcessorFast"
|
| 21 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:87a7830d63fcf43bf241c3c5242e96e62dd3fdc29224ca26fed8ea333db72de4
|
| 3 |
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size 19989343
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tokenizer_config.json
ADDED
|
@@ -0,0 +1,31 @@
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 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 |
+
"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 |
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"vision_bos_token": "<|vision_start|>",
|
| 21 |
+
"vision_eos_token": "<|vision_end|>"
|
| 22 |
+
},
|
| 23 |
+
"pad_token": "<|endoftext|>",
|
| 24 |
+
"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+",
|
| 25 |
+
"split_special_tokens": false,
|
| 26 |
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"tokenizer_class": "TokenizersBackend",
|
| 27 |
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"unk_token": null,
|
| 28 |
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"video_token": "<|video_pad|>",
|
| 29 |
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"vision_bos_token": "<|vision_start|>",
|
| 30 |
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"vision_eos_token": "<|vision_end|>"
|
| 31 |
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}
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