Remove stale results/omni_finetune/hf_upload

results/omni_finetune/hf_upload/README.md

@@ -1,61 +0,0 @@
----
-license: other
-base_model: Qwen/Qwen3-Omni-30B-A3B-Instruct
-library_name: peft
-tags:
-  - robotics
-  - embodied-ai
-  - multimodal
-  - xperience-10m
-  - qwen3-omni
-  - lora
-  - readiness-check
-datasets:
-  - ropedia-ai/xperience-10m
-pipeline_tag: image-text-to-text
----
-
-# Xperience-10M Qwen3-Omni LoRA (pilot artifact)
-
-## What this is
-This repository contains a Qwen3-Omni LoRA adapter produced from an initial end-to-end
-technical readiness run on Xperience-10M data.
-
-It is a **readiness artifact** from one validated training run with:
-
-- Backbone: `Qwen/Qwen3-Omni-30B-A3B-Instruct`
-- Adapter: LoRA, rank=16, alpha=32, dropout=0.05
-- Data source: `/path/to/ropedia_workspace/modelscope_data` (single available episode set at run time)
-- Windows used: `128` train windows
-- Processes: `8`
-- Train split episode-level leakage control: **not a full 32-episode run yet**
-
-## Current Scale-Up Status
-
-The real 32-episode pilot is prepared but not complete:
-
-- staging workflow: configured
-- Selection: 32 complete episodes from 32 different session UUIDs
-- Estimated raw subset: about 72 GB, excluding `visualization.rrd`
-- Blocker: full `ropedia-ai/xperience-10m` access is still pending Hugging Face gated approval
-- Claim boundary: no 32-episode held-out metrics are claimed until multi-episode data access, manifest building, training, and evaluation finish
-
-## Files
-- `README.md` — this file
-- `adapter_config.json` — LoRA configuration metadata
-- `adapter_model.safetensors` — LoRA checkpoint weights
-- `training_metadata.json` — run metadata and hyperparameters
-- `processor_config.json`, `tokenizer.json`, `tokenizer_config.json`, `chat_template.jinja`
-
-## Reproducibility note
-This artifact is intentionally labeled as a pilot artifact. It should be treated as:
-
-1. A proof of successful Qwen3-Omni pipeline wiring
-2. Not a final benchmark model for Xperience-10M full 32-episode fine-tuning
-3. A starting point for the next run once full pilot data are available
-
-## Source
-Project and task definitions are documented in:
-- `https://github.com/ChaoYue0307/ropedia-xperience-10m-task-suite`
-- `https://chaoyue0307.github.io/ropedia-xperience-10m-task-suite/`
-- https://cy0307-ropedia-xperience-10m-task-suite.static.hf.space/

results/omni_finetune/hf_upload/adapter_config.json

@@ -1,49 +0,0 @@
-{
-  "alora_invocation_tokens": null,
-  "alpha_pattern": {},
-  "arrow_config": null,
-  "auto_mapping": {
-    "base_model_class": "Qwen3OmniMoeThinkerForConditionalGeneration",
-    "parent_library": "transformers.models.qwen3_omni_moe.modeling_qwen3_omni_moe"
-  },
-  "base_model_name_or_path": "",
-  "bias": "none",
-  "corda_config": null,
-  "ensure_weight_tying": false,
-  "eva_config": null,
-  "exclude_modules": null,
-  "fan_in_fan_out": false,
-  "inference_mode": true,
-  "init_lora_weights": true,
-  "layer_replication": null,
-  "layers_pattern": null,
-  "layers_to_transform": null,
-  "loftq_config": {},
-  "lora_alpha": 32,
-  "lora_bias": false,
-  "lora_dropout": 0.05,
-  "megatron_config": null,
-  "megatron_core": "megatron.core",
-  "modules_to_save": null,
-  "peft_type": "LORA",
-  "peft_version": "0.18.1",
-  "qalora_group_size": 16,
-  "r": 16,
-  "rank_pattern": {},
-  "revision": null,
-  "target_modules": [
-    "gate_proj",
-    "up_proj",
-    "q_proj",
-    "v_proj",
-    "k_proj",
-    "down_proj",
-    "o_proj"
-  ],
-  "target_parameters": null,
-  "task_type": null,
-  "trainable_token_indices": null,
-  "use_dora": false,
-  "use_qalora": false,
-  "use_rslora": false
-}

results/omni_finetune/hf_upload/chat_template.jinja

@@ -1,122 +0,0 @@
-{%- if tools %}
-    {{- '<|im_start|>system\n' }}
-    {%- if messages[0].role == 'system' %}
-        {%- if messages[0].content is string %}
-            {{- messages[0].content }}
-        {%- else %}
-            {%- for content in messages[0].content %}
-                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
-                    {{- "<|vision_start|><|image_pad|><|vision_end|>" }}
-                {%- elif content.type == 'audio' or 'audio' in content or 'audio_url' in content %}
-                    {{- "<|audio_start|><|audio_pad|><|audio_end|>" }}
-                {%- elif content.type == 'video' or 'video' in content %}
-                    {{- "<|vision_start|><|video_pad|><|vision_end|>" }}
-                {%- elif content.type == 'text' %}
-                    {{- content.text }}
-                {%- endif %}
-            {%- endfor %}
-        {%- endif %}
-    {%- endif %}
-    {{- '\n\n' }}
-    {{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
-    {%- for tool in tools %}
-        {{- "\n" }}
-        {{- tool | tojson }}
-    {%- endfor %}
-    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
-{%- else %}
-    {%- if messages[0].role == 'system' %}
-        {%- if messages[0].content is string %}
-            {{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
-        {%- else %}
-            {%- for content in messages[0].content %}
-                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
-                    {{- '<|im_start|>system\n' +"<|vision_start|><|image_pad|><|vision_end|>"+ '<|im_end|>\n' }}
-                {%- elif content.type == 'audio' or 'audio' in content or 'audio_url' in content %}
-                    {{- '<|im_start|>system\n' +"<|audio_start|><|audio_pad|><|audio_end|>"+ '<|im_end|>\n' }}
-                {%- elif content.type == 'video' or 'video' in content %}
-                    {{- '<|im_start|>system\n' +"<|vision_start|><|video_pad|><|vision_end|>"+ '<|im_end|>\n' }}
-                {%- elif content.type == 'text' %}
-                    {{- '<|im_start|>system\n' +content.text+ '<|im_end|>\n' }}
-                {%- endif %}
-            {%- endfor %}
-        {%- endif %}
-    {%- endif %}
-{%- endif %}
-{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
-{%- for message in messages[::-1] %}
-    {%- set index = (messages|length - 1) - loop.index0 %}
-    {%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
-        {%- set ns.multi_step_tool = false %}
-        {%- set ns.last_query_index = index %}
-    {%- endif %}
-{%- endfor %}
-{%- for message in messages %}
-    {%- if message.content is string %}
-        {%- set content = message.content %}
-    {%- else %}
-        {%- set content = namespace(text="") %}
-        {%- for mcontent in message.content %}
-            {%- if mcontent.type == 'image' or 'image' in mcontent or 'image_url' in mcontent %}
-                {%- set content.text = content.text~"<|vision_start|><|image_pad|><|vision_end|>" %}
-            {%- elif mcontent.type == 'audio' or 'audio' in mcontent or 'audio_url' in mcontent %}
-                {%- set content.text = content.text~"<|audio_start|><|audio_pad|><|audio_end|>" %}
-            {%- elif mcontent.type == 'video' or 'video' in mcontent %}
-                {%- set content.text = content.text~"<|vision_start|><|video_pad|><|vision_end|>" %}
-            {%- elif mcontent.type == 'text' %}
-                {%- set content.text = content.text~mcontent.text %}
-            {%- endif %}
-        {%- endfor %}
-        {%- set content = content.text %}
-    {%- endif %}
-    {%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
-        {{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
-    {%- elif message.role == "assistant" %}
-        {%- set reasoning_content = "" %}
-        {%- if message.reasoning_content is string %}
-            {%- set reasoning_content = message.reasoning_content %}
-        {%- else %}
-            {%- if '</think>' in content %}
-            {%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
-            {%- set content = content.split('</think>')[-1].lstrip('\n') %}
-        {%- endif %}
-    {%- endif %}
-    {%- if loop.index0 > ns.last_query_index %}
-        {%- if loop.last or (not loop.last and reasoning_content) %}
-            {{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip("\n") + '\n</think>\n\n' + content.lstrip('\n') }}
-        {%- else %}
-            {{- '<|im_start|>' + message.role + '\n' + content }}
-        {%- endif %}
-    {%- else %}
-        {{- '<|im_start|>' + message.role + '\n' + content }}
-    {%- endif %}
-    {%- if message.tool_calls %}
-        {%- for tool_call in message.tool_calls %}
-            {%- if (loop.first and content) or (not loop.first) %}{{- '\n' }}{%- endif %}
-            {%- if tool_call.function %}
-                {%- set tool_call = tool_call.function %}
-            {%- endif %}
-            {{- '<tool_call>\n{"name": "' }}
-            {{- tool_call.name }}
-            {{- '", "arguments": ' }}
-            {%- if tool_call.arguments is string %}
-                {{- tool_call.arguments }}
-            {%- else %}
-                {{- tool_call.arguments | tojson }}
-            {%- endif %}
-            {{- '}\n</tool_call>' }}
-        {%- endfor %}
-    {%- endif %}
-    {{- '<|im_end|>\n' }}
-    {%- elif message.role == "tool" %}
-        {%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}{{- '<|im_start|>user' }}{%- endif %}
-        {{- '\n<tool_response>\n' }}
-        {{- content }}
-        {{- '\n</tool_response>' }}
-        {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}{{- '<|im_end|>\n' }}{%- endif %}
-    {%- endif %}
-{%- endfor %}
-{%- if add_generation_prompt %}
-    {{- '<|im_start|>assistant\n' }}
-    {%- if enable_thinking is defined and enable_thinking is false %}{{- '<think>\n\n</think>\n\n' }}{%- endif %}
-{%- endif %}

results/omni_finetune/hf_upload/processor_config.json

@@ -1,114 +0,0 @@
-{
-  "feature_extractor": {
-    "chunk_length": 30,
-    "dither": 0.0,
-    "feature_extractor_type": "WhisperFeatureExtractor",
-    "feature_size": 128,
-    "hop_length": 160,
-    "image_mean": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "image_processor_type": "Qwen2VLImageProcessor",
-    "image_std": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "max_pixels": 12845056,
-    "merge_size": 2,
-    "min_pixels": 3136,
-    "n_fft": 400,
-    "n_samples": 480000,
-    "nb_max_frames": 3000,
-    "padding_side": "right",
-    "padding_value": 0.0,
-    "patch_size": 16,
-    "return_attention_mask": true,
-    "sampling_rate": 16000,
-    "temporal_patch_size": 2
-  },
-  "image_processor": {
-    "data_format": "channels_first",
-    "dither": 0.0,
-    "do_convert_rgb": true,
-    "do_normalize": true,
-    "do_rescale": true,
-    "do_resize": true,
-    "feature_size": 128,
-    "hop_length": 160,
-    "image_mean": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "image_processor_type": "Qwen2VLImageProcessorFast",
-    "image_std": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "merge_size": 2,
-    "n_fft": 400,
-    "n_samples": 4800000,
-    "nb_max_frames": 30000,
-    "padding_side": "right",
-    "padding_value": 0.0,
-    "patch_size": 16,
-    "resample": 3,
-    "rescale_factor": 0.00392156862745098,
-    "return_attention_mask": true,
-    "sampling_rate": 16000,
-    "size": {
-      "longest_edge": 12845056,
-      "shortest_edge": 3136
-    },
-    "temporal_patch_size": 2
-  },
-  "processor_class": "Qwen3OmniMoeProcessor",
-  "video_processor": {
-    "data_format": "channels_first",
-    "default_to_square": true,
-    "dither": 0.0,
-    "do_convert_rgb": true,
-    "do_normalize": true,
-    "do_rescale": true,
-    "do_resize": true,
-    "do_sample_frames": false,
-    "feature_extractor_type": "WhisperFeatureExtractor",
-    "feature_size": 128,
-    "hop_length": 160,
-    "image_mean": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "image_processor_type": "Qwen2VLImageProcessor",
-    "image_std": [
-      0.5,
-      0.5,
-      0.5
-    ],
-    "max_frames": 768,
-    "merge_size": 2,
-    "min_frames": 4,
-    "n_fft": 400,
-    "n_samples": 4800000,
-    "nb_max_frames": 30000,
-    "padding_side": "right",
-    "padding_value": 0.0,
-    "patch_size": 16,
-    "resample": 3,
-    "rescale_factor": 0.00392156862745098,
-    "return_attention_mask": true,
-    "return_metadata": false,
-    "sampling_rate": 16000,
-    "size": {
-      "longest_edge": 12845056,
-      "shortest_edge": 3136
-    },
-    "temporal_patch_size": 2,
-    "video_processor_type": "Qwen2VLVideoProcessor"
-  }
-}

results/omni_finetune/hf_upload/tokenizer_config.json

@@ -1,52 +0,0 @@
-{
-  "add_prefix_space": false,
-  "audio_bos_token": "<|audio_start|>",
-  "audio_eos_token": "<|audio_end|>",
-  "audio_token": "<|audio_pad|>",
-  "backend": "tokenizers",
-  "bos_token": null,
-  "clean_up_tokenization_spaces": false,
-  "eos_token": "<|im_end|>",
-  "errors": "replace",
-  "extra_special_tokens": [
-    "<|im_start|>",
-    "<|im_end|>",
-    "<|object_ref_start|>",
-    "<|object_ref_end|>",
-    "<|box_start|>",
-    "<|box_end|>",
-    "<|quad_start|>",
-    "<|quad_end|>",
-    "<|vision_start|>",
-    "<|vision_end|>",
-    "<|vision_pad|>",
-    "<|image_pad|>",
-    "<|video_pad|>",
-    "<|audio_start|>",
-    "<|audio_end|>",
-    "<tts_pad>",
-    "<tts_text_bos>",
-    "<tts_text_bos_single>",
-    "<|audio_pad|>"
-  ],
-  "image_token": "<|image_pad|>",
-  "is_local": true,
-  "model_max_length": 131072,
-  "model_specific_special_tokens": {
-    "audio_bos_token": "<|audio_start|>",
-    "audio_eos_token": "<|audio_end|>",
-    "audio_token": "<|audio_pad|>",
-    "image_token": "<|image_pad|>",
-    "video_token": "<|video_pad|>",
-    "vision_bos_token": "<|vision_start|>",
-    "vision_eos_token": "<|vision_end|>"
-  },
-  "pad_token": "<|endoftext|>",
-  "processor_class": "Qwen3OmniMoeProcessor",
-  "split_special_tokens": false,
-  "tokenizer_class": "Qwen2Tokenizer",
-  "unk_token": null,
-  "video_token": "<|video_pad|>",
-  "vision_bos_token": "<|vision_start|>",
-  "vision_eos_token": "<|vision_end|>"
-}

results/omni_finetune/hf_upload/training_metadata.json

@@ -1,32 +0,0 @@
-{
-  "run_id": "xperience10m_qwen3_omni_32ep_lora",
-  "model_id": "/path/to/ropedia_workspace/modelscope_models/Qwen__Qwen3-Omni-30B-A3B-Instruct",
-  "dataset_jsonl": "results/omni_finetune/xperience10m_qwen3_omni_32ep_dataset/dataset.jsonl",
-  "checkpoint_dir": "/path/to/ropedia_workspace/ropedia-episode-task-suite/checkpoints/xperience10m_qwen3_omni_32ep_lora/adapter_lora",
-  "num_processes": 8,
-  "num_train_samples": 128,
-  "num_val_samples": 0,
-  "history": [
-    {
-      "epoch": 1,
-      "train_loss": 10.936363816261292,
-      "val_loss": null,
-      "global_step": 16
-    }
-  ],
-  "lora": {
-    "r": 16,
-    "alpha": 32,
-    "dropout": 0.05,
-    "target_modules": [
-      "q_proj",
-      "k_proj",
-      "v_proj",
-      "o_proj",
-      "gate_proj",
-      "up_proj",
-      "down_proj"
-    ]
-  },
-  "use_audio_in_video": false
-}