Upload folder using huggingface_hub

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-VL-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-VL-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-VL-8B-Instruct",
+  "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": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8208489b07ae8fe718e91518527a5264e0fefa42b7ed03e02d5fb49d6f3bf886
+size 174663096

added_tokens.json

@@ -0,0 +1,28 @@
+{
+  "</think>": 151668,
+  "</tool_call>": 151658,
+  "</tool_response>": 151666,
+  "<think>": 151667,
+  "<tool_call>": 151657,
+  "<tool_response>": 151665,
+  "<|box_end|>": 151649,
+  "<|box_start|>": 151648,
+  "<|endoftext|>": 151643,
+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

chat_template.jinja

@@ -0,0 +1,120 @@
+{%- 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 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\n\n' }}
+    {%- endif %}
+    {{- "# 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' %}
+        {{- '<|im_start|>system\n' }}
+        {%- if messages[0].content is string %}
+            {{- messages[0].content }}
+        {%- else %}
+            {%- for content in messages[0].content %}
+                {%- if 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- set image_count = namespace(value=0) %}
+{%- set video_count = namespace(value=0) %}
+{%- for message in messages %}
+    {%- if message.role == "user" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role + '\n' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content_item in message.content %}
+                {%- if 'text' in content_item %}
+                    {{- content_item.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {%- if message.tool_calls %}
+            {%- for tool_call in message.tool_calls %}
+                {%- if (loop.first and message.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' }}
+        {%- if message.content is string %}
+            {{- message.content }}
+        {%- else %}
+            {%- for content in message.content %}
+                {%- if content.type == 'image' or 'image' in content or 'image_url' in content %}
+                    {%- set image_count.value = image_count.value + 1 %}
+                    {%- if add_vision_id %}Picture {{ image_count.value }}: {% endif -%}
+                    <|vision_start|><|image_pad|><|vision_end|>
+                {%- elif content.type == 'video' or 'video' in content %}
+                    {%- set video_count.value = video_count.value + 1 %}
+                    {%- if add_vision_id %}Video {{ video_count.value }}: {% endif -%}
+                    <|vision_start|><|video_pad|><|vision_end|>
+                {%- elif 'text' in content %}
+                    {{- content.text }}
+                {%- endif %}
+            {%- endfor %}
+        {%- endif %}
+        {{- '\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' }}
+{%- endif %}

checkpoint-2000/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-VL-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-VL-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

checkpoint-2000/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-VL-8B-Instruct",
+  "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": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-2000/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f3c0d2854821259b11cc3d50af94573ed18e3b01feb7e246c431668c885e18c5
+size 174663096

checkpoint-2000/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9235b5aab7d5984fbc261209f49465b3009cacf74840d85dea5d9df3ef73f9b
+size 349601402

checkpoint-2000/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1fc14ed0223f9dc268a12afa8d3e3c6e143a457220932e3e5b47e306b70232d6
+size 14244

checkpoint-2000/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a82132d4b741cef7f46c89653bf7b7d8ff26629391c111c76b285803134ea6b
+size 1064

checkpoint-2000/trainer_state.json

@@ -0,0 +1,734 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 2.016131742564275,
+  "eval_steps": 500,
+  "global_step": 2000,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02016467820534364,
+      "grad_norm": 1.8511124849319458,
+      "learning_rate": 1.5833333333333333e-06,
+      "loss": 1.8108,
+      "step": 20
+    },
+    {
+      "epoch": 0.04032935641068728,
+      "grad_norm": 0.7394324541091919,
+      "learning_rate": 3.2500000000000002e-06,
+      "loss": 1.6715,
+      "step": 40
+    },
+    {
+      "epoch": 0.060494034616030916,
+      "grad_norm": 0.45531249046325684,
+      "learning_rate": 4.9166666666666665e-06,
+      "loss": 1.6173,
+      "step": 60
+    },
+    {
+      "epoch": 0.08065871282137456,
+      "grad_norm": 0.40357276797294617,
+      "learning_rate": 4.967421124828533e-06,
+      "loss": 1.5598,
+      "step": 80
+    },
+    {
+      "epoch": 0.1008233910267182,
+      "grad_norm": 0.29350975155830383,
+      "learning_rate": 4.933127572016461e-06,
+      "loss": 1.43,
+      "step": 100
+    },
+    {
+      "epoch": 0.12098806923206183,
+      "grad_norm": 0.20568248629570007,
+      "learning_rate": 4.89883401920439e-06,
+      "loss": 1.3987,
+      "step": 120
+    },
+    {
+      "epoch": 0.14115274743740547,
+      "grad_norm": 0.2384926974773407,
+      "learning_rate": 4.864540466392318e-06,
+      "loss": 1.3609,
+      "step": 140
+    },
+    {
+      "epoch": 0.16131742564274912,
+      "grad_norm": 0.1836162954568863,
+      "learning_rate": 4.830246913580247e-06,
+      "loss": 1.3435,
+      "step": 160
+    },
+    {
+      "epoch": 0.18148210384809277,
+      "grad_norm": 0.1811266541481018,
+      "learning_rate": 4.795953360768176e-06,
+      "loss": 1.3232,
+      "step": 180
+    },
+    {
+      "epoch": 0.2016467820534364,
+      "grad_norm": 0.2113139033317566,
+      "learning_rate": 4.761659807956105e-06,
+      "loss": 1.287,
+      "step": 200
+    },
+    {
+      "epoch": 0.22181146025878004,
+      "grad_norm": 0.1890689879655838,
+      "learning_rate": 4.727366255144034e-06,
+      "loss": 1.2092,
+      "step": 220
+    },
+    {
+      "epoch": 0.24197613846412366,
+      "grad_norm": 0.16214606165885925,
+      "learning_rate": 4.693072702331962e-06,
+      "loss": 1.2642,
+      "step": 240
+    },
+    {
+      "epoch": 0.2621408166694673,
+      "grad_norm": 0.18152153491973877,
+      "learning_rate": 4.658779149519891e-06,
+      "loss": 1.2641,
+      "step": 260
+    },
+    {
+      "epoch": 0.28230549487481094,
+      "grad_norm": 0.16723684966564178,
+      "learning_rate": 4.62448559670782e-06,
+      "loss": 1.2855,
+      "step": 280
+    },
+    {
+      "epoch": 0.3024701730801546,
+      "grad_norm": 0.17267176508903503,
+      "learning_rate": 4.590192043895748e-06,
+      "loss": 1.2665,
+      "step": 300
+    },
+    {
+      "epoch": 0.32263485128549824,
+      "grad_norm": 0.14581818878650665,
+      "learning_rate": 4.555898491083677e-06,
+      "loss": 1.2487,
+      "step": 320
+    },
+    {
+      "epoch": 0.34279952949084186,
+      "grad_norm": 0.16507931053638458,
+      "learning_rate": 4.521604938271605e-06,
+      "loss": 1.2157,
+      "step": 340
+    },
+    {
+      "epoch": 0.36296420769618554,
+      "grad_norm": 0.2352876514196396,
+      "learning_rate": 4.487311385459534e-06,
+      "loss": 1.2145,
+      "step": 360
+    },
+    {
+      "epoch": 0.38312888590152916,
+      "grad_norm": 0.17985840141773224,
+      "learning_rate": 4.4530178326474625e-06,
+      "loss": 1.1942,
+      "step": 380
+    },
+    {
+      "epoch": 0.4032935641068728,
+      "grad_norm": 0.17866867780685425,
+      "learning_rate": 4.4187242798353916e-06,
+      "loss": 1.2223,
+      "step": 400
+    },
+    {
+      "epoch": 0.42345824231221646,
+      "grad_norm": 0.14730125665664673,
+      "learning_rate": 4.38443072702332e-06,
+      "loss": 1.2117,
+      "step": 420
+    },
+    {
+      "epoch": 0.4436229205175601,
+      "grad_norm": 0.16549503803253174,
+      "learning_rate": 4.350137174211249e-06,
+      "loss": 1.1975,
+      "step": 440
+    },
+    {
+      "epoch": 0.4637875987229037,
+      "grad_norm": 0.17740090191364288,
+      "learning_rate": 4.315843621399177e-06,
+      "loss": 1.2423,
+      "step": 460
+    },
+    {
+      "epoch": 0.4839522769282473,
+      "grad_norm": 0.17977434396743774,
+      "learning_rate": 4.281550068587106e-06,
+      "loss": 1.2006,
+      "step": 480
+    },
+    {
+      "epoch": 0.504116955133591,
+      "grad_norm": 0.15869812667369843,
+      "learning_rate": 4.247256515775034e-06,
+      "loss": 1.207,
+      "step": 500
+    },
+    {
+      "epoch": 0.5242816333389346,
+      "grad_norm": 0.21521572768688202,
+      "learning_rate": 4.212962962962963e-06,
+      "loss": 1.2051,
+      "step": 520
+    },
+    {
+      "epoch": 0.5444463115442782,
+      "grad_norm": 0.16939546167850494,
+      "learning_rate": 4.178669410150891e-06,
+      "loss": 1.1756,
+      "step": 540
+    },
+    {
+      "epoch": 0.5646109897496219,
+      "grad_norm": 0.16470055282115936,
+      "learning_rate": 4.1443758573388204e-06,
+      "loss": 1.1676,
+      "step": 560
+    },
+    {
+      "epoch": 0.5847756679549656,
+      "grad_norm": 0.18620970845222473,
+      "learning_rate": 4.1100823045267495e-06,
+      "loss": 1.1889,
+      "step": 580
+    },
+    {
+      "epoch": 0.6049403461603092,
+      "grad_norm": 0.19728729128837585,
+      "learning_rate": 4.0757887517146785e-06,
+      "loss": 1.1817,
+      "step": 600
+    },
+    {
+      "epoch": 0.6251050243656529,
+      "grad_norm": 0.16294361650943756,
+      "learning_rate": 4.041495198902607e-06,
+      "loss": 1.1939,
+      "step": 620
+    },
+    {
+      "epoch": 0.6452697025709965,
+      "grad_norm": 0.16938216984272003,
+      "learning_rate": 4.007201646090536e-06,
+      "loss": 1.1832,
+      "step": 640
+    },
+    {
+      "epoch": 0.6654343807763401,
+      "grad_norm": 0.1400933861732483,
+      "learning_rate": 3.972908093278464e-06,
+      "loss": 1.1555,
+      "step": 660
+    },
+    {
+      "epoch": 0.6855990589816837,
+      "grad_norm": 0.151964008808136,
+      "learning_rate": 3.938614540466393e-06,
+      "loss": 1.1924,
+      "step": 680
+    },
+    {
+      "epoch": 0.7057637371870273,
+      "grad_norm": 0.165726900100708,
+      "learning_rate": 3.904320987654321e-06,
+      "loss": 1.1734,
+      "step": 700
+    },
+    {
+      "epoch": 0.7259284153923711,
+      "grad_norm": 0.14814433455467224,
+      "learning_rate": 3.87002743484225e-06,
+      "loss": 1.1431,
+      "step": 720
+    },
+    {
+      "epoch": 0.7460930935977147,
+      "grad_norm": 0.17124532163143158,
+      "learning_rate": 3.835733882030178e-06,
+      "loss": 1.1651,
+      "step": 740
+    },
+    {
+      "epoch": 0.7662577718030583,
+      "grad_norm": 0.16671781241893768,
+      "learning_rate": 3.8014403292181074e-06,
+      "loss": 1.1824,
+      "step": 760
+    },
+    {
+      "epoch": 0.7864224500084019,
+      "grad_norm": 0.13743053376674652,
+      "learning_rate": 3.767146776406036e-06,
+      "loss": 1.1673,
+      "step": 780
+    },
+    {
+      "epoch": 0.8065871282137456,
+      "grad_norm": 0.19988305866718292,
+      "learning_rate": 3.7328532235939646e-06,
+      "loss": 1.1628,
+      "step": 800
+    },
+    {
+      "epoch": 0.8267518064190892,
+      "grad_norm": 0.14841201901435852,
+      "learning_rate": 3.6985596707818932e-06,
+      "loss": 1.1317,
+      "step": 820
+    },
+    {
+      "epoch": 0.8469164846244329,
+      "grad_norm": 0.1685938984155655,
+      "learning_rate": 3.664266117969822e-06,
+      "loss": 1.1807,
+      "step": 840
+    },
+    {
+      "epoch": 0.8670811628297765,
+      "grad_norm": 0.1533905416727066,
+      "learning_rate": 3.6299725651577504e-06,
+      "loss": 1.1722,
+      "step": 860
+    },
+    {
+      "epoch": 0.8872458410351202,
+      "grad_norm": 0.19113974273204803,
+      "learning_rate": 3.595679012345679e-06,
+      "loss": 1.1449,
+      "step": 880
+    },
+    {
+      "epoch": 0.9074105192404638,
+      "grad_norm": 0.17651887238025665,
+      "learning_rate": 3.5613854595336077e-06,
+      "loss": 1.1976,
+      "step": 900
+    },
+    {
+      "epoch": 0.9275751974458074,
+      "grad_norm": 0.15434026718139648,
+      "learning_rate": 3.5270919067215363e-06,
+      "loss": 1.1801,
+      "step": 920
+    },
+    {
+      "epoch": 0.947739875651151,
+      "grad_norm": 0.19463898241519928,
+      "learning_rate": 3.492798353909465e-06,
+      "loss": 1.1499,
+      "step": 940
+    },
+    {
+      "epoch": 0.9679045538564947,
+      "grad_norm": 0.20643994212150574,
+      "learning_rate": 3.458504801097394e-06,
+      "loss": 1.1901,
+      "step": 960
+    },
+    {
+      "epoch": 0.9880692320618384,
+      "grad_norm": 0.16208429634571075,
+      "learning_rate": 3.4242112482853225e-06,
+      "loss": 1.1639,
+      "step": 980
+    },
+    {
+      "epoch": 1.0080658712821375,
+      "grad_norm": 0.19088372588157654,
+      "learning_rate": 3.3899176954732516e-06,
+      "loss": 1.1568,
+      "step": 1000
+    },
+    {
+      "epoch": 1.028230549487481,
+      "grad_norm": 0.17336255311965942,
+      "learning_rate": 3.35562414266118e-06,
+      "loss": 1.1895,
+      "step": 1020
+    },
+    {
+      "epoch": 1.0483952276928248,
+      "grad_norm": 0.18176113069057465,
+      "learning_rate": 3.3213305898491088e-06,
+      "loss": 1.1411,
+      "step": 1040
+    },
+    {
+      "epoch": 1.0685599058981683,
+      "grad_norm": 0.17232069373130798,
+      "learning_rate": 3.2870370370370374e-06,
+      "loss": 1.1532,
+      "step": 1060
+    },
+    {
+      "epoch": 1.088724584103512,
+      "grad_norm": 0.18182365596294403,
+      "learning_rate": 3.252743484224966e-06,
+      "loss": 1.1734,
+      "step": 1080
+    },
+    {
+      "epoch": 1.1088892623088555,
+      "grad_norm": 0.17681393027305603,
+      "learning_rate": 3.2184499314128946e-06,
+      "loss": 1.1956,
+      "step": 1100
+    },
+    {
+      "epoch": 1.1290539405141993,
+      "grad_norm": 0.17663593590259552,
+      "learning_rate": 3.1841563786008232e-06,
+      "loss": 1.1743,
+      "step": 1120
+    },
+    {
+      "epoch": 1.149218618719543,
+      "grad_norm": 0.2009301483631134,
+      "learning_rate": 3.149862825788752e-06,
+      "loss": 1.1369,
+      "step": 1140
+    },
+    {
+      "epoch": 1.1693832969248865,
+      "grad_norm": 0.18737803399562836,
+      "learning_rate": 3.115569272976681e-06,
+      "loss": 1.1713,
+      "step": 1160
+    },
+    {
+      "epoch": 1.1895479751302303,
+      "grad_norm": 0.21331042051315308,
+      "learning_rate": 3.0812757201646095e-06,
+      "loss": 1.1807,
+      "step": 1180
+    },
+    {
+      "epoch": 1.2097126533355738,
+      "grad_norm": 0.137131005525589,
+      "learning_rate": 3.046982167352538e-06,
+      "loss": 1.1249,
+      "step": 1200
+    },
+    {
+      "epoch": 1.2298773315409175,
+      "grad_norm": 0.1591823250055313,
+      "learning_rate": 3.0126886145404667e-06,
+      "loss": 1.1444,
+      "step": 1220
+    },
+    {
+      "epoch": 1.2500420097462612,
+      "grad_norm": 0.22706831991672516,
+      "learning_rate": 2.9783950617283953e-06,
+      "loss": 1.123,
+      "step": 1240
+    },
+    {
+      "epoch": 1.2702066879516047,
+      "grad_norm": 0.21177977323532104,
+      "learning_rate": 2.944101508916324e-06,
+      "loss": 1.1364,
+      "step": 1260
+    },
+    {
+      "epoch": 1.2903713661569485,
+      "grad_norm": 0.1499287486076355,
+      "learning_rate": 2.9098079561042525e-06,
+      "loss": 1.1325,
+      "step": 1280
+    },
+    {
+      "epoch": 1.310536044362292,
+      "grad_norm": 0.20148980617523193,
+      "learning_rate": 2.875514403292181e-06,
+      "loss": 1.1652,
+      "step": 1300
+    },
+    {
+      "epoch": 1.3307007225676357,
+      "grad_norm": 0.16732490062713623,
+      "learning_rate": 2.8412208504801097e-06,
+      "loss": 1.1647,
+      "step": 1320
+    },
+    {
+      "epoch": 1.3508654007729795,
+      "grad_norm": 0.1993524134159088,
+      "learning_rate": 2.8069272976680384e-06,
+      "loss": 1.1654,
+      "step": 1340
+    },
+    {
+      "epoch": 1.371030078978323,
+      "grad_norm": 0.24337328970432281,
+      "learning_rate": 2.772633744855967e-06,
+      "loss": 1.1698,
+      "step": 1360
+    },
+    {
+      "epoch": 1.3911947571836665,
+      "grad_norm": 0.18297967314720154,
+      "learning_rate": 2.7383401920438964e-06,
+      "loss": 1.1399,
+      "step": 1380
+    },
+    {
+      "epoch": 1.4113594353890102,
+      "grad_norm": 0.1674719750881195,
+      "learning_rate": 2.704046639231825e-06,
+      "loss": 1.1505,
+      "step": 1400
+    },
+    {
+      "epoch": 1.431524113594354,
+      "grad_norm": 0.24349944293498993,
+      "learning_rate": 2.6697530864197536e-06,
+      "loss": 1.1488,
+      "step": 1420
+    },
+    {
+      "epoch": 1.4516887917996975,
+      "grad_norm": 0.21391816437244415,
+      "learning_rate": 2.6354595336076823e-06,
+      "loss": 1.1624,
+      "step": 1440
+    },
+    {
+      "epoch": 1.4718534700050412,
+      "grad_norm": 0.1747744381427765,
+      "learning_rate": 2.601165980795611e-06,
+      "loss": 1.1175,
+      "step": 1460
+    },
+    {
+      "epoch": 1.4920181482103847,
+      "grad_norm": 0.1813206523656845,
+      "learning_rate": 2.5668724279835395e-06,
+      "loss": 1.1773,
+      "step": 1480
+    },
+    {
+      "epoch": 1.5121828264157284,
+      "grad_norm": 0.1902363896369934,
+      "learning_rate": 2.532578875171468e-06,
+      "loss": 1.1543,
+      "step": 1500
+    },
+    {
+      "epoch": 1.5323475046210722,
+      "grad_norm": 0.229601189494133,
+      "learning_rate": 2.4982853223593967e-06,
+      "loss": 1.1693,
+      "step": 1520
+    },
+    {
+      "epoch": 1.5525121828264157,
+      "grad_norm": 0.19683398306369781,
+      "learning_rate": 2.4639917695473253e-06,
+      "loss": 1.1466,
+      "step": 1540
+    },
+    {
+      "epoch": 1.5726768610317594,
+      "grad_norm": 0.20073945820331573,
+      "learning_rate": 2.429698216735254e-06,
+      "loss": 1.1047,
+      "step": 1560
+    },
+    {
+      "epoch": 1.592841539237103,
+      "grad_norm": 0.18283994495868683,
+      "learning_rate": 2.3954046639231825e-06,
+      "loss": 1.142,
+      "step": 1580
+    },
+    {
+      "epoch": 1.6130062174424467,
+      "grad_norm": 0.18824931979179382,
+      "learning_rate": 2.361111111111111e-06,
+      "loss": 1.1435,
+      "step": 1600
+    },
+    {
+      "epoch": 1.6331708956477904,
+      "grad_norm": 0.1996023803949356,
+      "learning_rate": 2.3268175582990397e-06,
+      "loss": 1.1423,
+      "step": 1620
+    },
+    {
+      "epoch": 1.653335573853134,
+      "grad_norm": 0.14964720606803894,
+      "learning_rate": 2.2925240054869684e-06,
+      "loss": 1.1041,
+      "step": 1640
+    },
+    {
+      "epoch": 1.6735002520584774,
+      "grad_norm": 0.22309167683124542,
+      "learning_rate": 2.2582304526748974e-06,
+      "loss": 1.1445,
+      "step": 1660
+    },
+    {
+      "epoch": 1.6936649302638211,
+      "grad_norm": 0.2204594910144806,
+      "learning_rate": 2.223936899862826e-06,
+      "loss": 1.1422,
+      "step": 1680
+    },
+    {
+      "epoch": 1.7138296084691649,
+      "grad_norm": 0.16599097847938538,
+      "learning_rate": 2.1896433470507546e-06,
+      "loss": 1.0732,
+      "step": 1700
+    },
+    {
+      "epoch": 1.7339942866745086,
+      "grad_norm": 0.15629573166370392,
+      "learning_rate": 2.1553497942386832e-06,
+      "loss": 1.1033,
+      "step": 1720
+    },
+    {
+      "epoch": 1.7541589648798521,
+      "grad_norm": 0.1623900830745697,
+      "learning_rate": 2.121056241426612e-06,
+      "loss": 1.1316,
+      "step": 1740
+    },
+    {
+      "epoch": 1.7743236430851956,
+      "grad_norm": 0.1825624257326126,
+      "learning_rate": 2.0867626886145404e-06,
+      "loss": 1.0872,
+      "step": 1760
+    },
+    {
+      "epoch": 1.7944883212905394,
+      "grad_norm": 0.22364318370819092,
+      "learning_rate": 2.052469135802469e-06,
+      "loss": 1.1543,
+      "step": 1780
+    },
+    {
+      "epoch": 1.814652999495883,
+      "grad_norm": 0.1587645709514618,
+      "learning_rate": 2.018175582990398e-06,
+      "loss": 1.1155,
+      "step": 1800
+    },
+    {
+      "epoch": 1.8348176777012268,
+      "grad_norm": 0.19607681035995483,
+      "learning_rate": 1.9838820301783267e-06,
+      "loss": 1.1276,
+      "step": 1820
+    },
+    {
+      "epoch": 1.8549823559065703,
+      "grad_norm": 0.15664765238761902,
+      "learning_rate": 1.9495884773662553e-06,
+      "loss": 1.1343,
+      "step": 1840
+    },
+    {
+      "epoch": 1.8751470341119139,
+      "grad_norm": 0.16460677981376648,
+      "learning_rate": 1.915294924554184e-06,
+      "loss": 1.1415,
+      "step": 1860
+    },
+    {
+      "epoch": 1.8953117123172576,
+      "grad_norm": 0.19724081456661224,
+      "learning_rate": 1.8810013717421127e-06,
+      "loss": 1.1499,
+      "step": 1880
+    },
+    {
+      "epoch": 1.9154763905226013,
+      "grad_norm": 0.17782624065876007,
+      "learning_rate": 1.8467078189300414e-06,
+      "loss": 1.153,
+      "step": 1900
+    },
+    {
+      "epoch": 1.9356410687279448,
+      "grad_norm": 0.17599479854106903,
+      "learning_rate": 1.81241426611797e-06,
+      "loss": 1.1107,
+      "step": 1920
+    },
+    {
+      "epoch": 1.9558057469332886,
+      "grad_norm": 0.16163478791713715,
+      "learning_rate": 1.7781207133058986e-06,
+      "loss": 1.1628,
+      "step": 1940
+    },
+    {
+      "epoch": 1.975970425138632,
+      "grad_norm": 0.23151934146881104,
+      "learning_rate": 1.7438271604938272e-06,
+      "loss": 1.1507,
+      "step": 1960
+    },
+    {
+      "epoch": 1.9961351033439758,
+      "grad_norm": 0.1565564125776291,
+      "learning_rate": 1.709533607681756e-06,
+      "loss": 1.1026,
+      "step": 1980
+    },
+    {
+      "epoch": 2.016131742564275,
+      "grad_norm": 0.18382473289966583,
+      "learning_rate": 1.6752400548696846e-06,
+      "loss": 1.195,
+      "step": 2000
+    }
+  ],
+  "logging_steps": 20,
+  "max_steps": 2976,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 2000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 3.344677831266168e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-2000/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:126a14bc5830fe5f3ec32bb884cd494a944b9ced8af5fddce759a0550f0ec7c1
+size 5432

checkpoint-2976/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-VL-8B-Instruct
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-VL-8B-Instruct
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- 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. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+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).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.18.0

checkpoint-2976/adapter_config.json

@@ -0,0 +1,46 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-VL-8B-Instruct",
+  "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": "0.18.0",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "gate_proj",
+    "k_proj",
+    "o_proj",
+    "v_proj",
+    "up_proj",
+    "down_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-2976/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8208489b07ae8fe718e91518527a5264e0fefa42b7ed03e02d5fb49d6f3bf886
+size 174663096

checkpoint-2976/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b517e58ad4663fb39556e79196226bbe043e2bf289d183ea14f7e11d7e27965
+size 349601402

checkpoint-2976/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e473398a631c152cf36f93fd18c266670dd825225c91513fecfa0214eed5607
+size 14244

checkpoint-2976/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:588dbcd99b1f28b58d50a0cc0ac3a67f30fb179f068ad2a621e2187081bab7f7
+size 1064

checkpoint-2976/trainer_state.json

@@ -0,0 +1,1070 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 3.0,
+  "eval_steps": 500,
+  "global_step": 2976,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02016467820534364,
+      "grad_norm": 1.8511124849319458,
+      "learning_rate": 1.5833333333333333e-06,
+      "loss": 1.8108,
+      "step": 20
+    },
+    {
+      "epoch": 0.04032935641068728,
+      "grad_norm": 0.7394324541091919,
+      "learning_rate": 3.2500000000000002e-06,
+      "loss": 1.6715,
+      "step": 40
+    },
+    {
+      "epoch": 0.060494034616030916,
+      "grad_norm": 0.45531249046325684,
+      "learning_rate": 4.9166666666666665e-06,
+      "loss": 1.6173,
+      "step": 60
+    },
+    {
+      "epoch": 0.08065871282137456,
+      "grad_norm": 0.40357276797294617,
+      "learning_rate": 4.967421124828533e-06,
+      "loss": 1.5598,
+      "step": 80
+    },
+    {
+      "epoch": 0.1008233910267182,
+      "grad_norm": 0.29350975155830383,
+      "learning_rate": 4.933127572016461e-06,
+      "loss": 1.43,
+      "step": 100
+    },
+    {
+      "epoch": 0.12098806923206183,
+      "grad_norm": 0.20568248629570007,
+      "learning_rate": 4.89883401920439e-06,
+      "loss": 1.3987,
+      "step": 120
+    },
+    {
+      "epoch": 0.14115274743740547,
+      "grad_norm": 0.2384926974773407,
+      "learning_rate": 4.864540466392318e-06,
+      "loss": 1.3609,
+      "step": 140
+    },
+    {
+      "epoch": 0.16131742564274912,
+      "grad_norm": 0.1836162954568863,
+      "learning_rate": 4.830246913580247e-06,
+      "loss": 1.3435,
+      "step": 160
+    },
+    {
+      "epoch": 0.18148210384809277,
+      "grad_norm": 0.1811266541481018,
+      "learning_rate": 4.795953360768176e-06,
+      "loss": 1.3232,
+      "step": 180
+    },
+    {
+      "epoch": 0.2016467820534364,
+      "grad_norm": 0.2113139033317566,
+      "learning_rate": 4.761659807956105e-06,
+      "loss": 1.287,
+      "step": 200
+    },
+    {
+      "epoch": 0.22181146025878004,
+      "grad_norm": 0.1890689879655838,
+      "learning_rate": 4.727366255144034e-06,
+      "loss": 1.2092,
+      "step": 220
+    },
+    {
+      "epoch": 0.24197613846412366,
+      "grad_norm": 0.16214606165885925,
+      "learning_rate": 4.693072702331962e-06,
+      "loss": 1.2642,
+      "step": 240
+    },
+    {
+      "epoch": 0.2621408166694673,
+      "grad_norm": 0.18152153491973877,
+      "learning_rate": 4.658779149519891e-06,
+      "loss": 1.2641,
+      "step": 260
+    },
+    {
+      "epoch": 0.28230549487481094,
+      "grad_norm": 0.16723684966564178,
+      "learning_rate": 4.62448559670782e-06,
+      "loss": 1.2855,
+      "step": 280
+    },
+    {
+      "epoch": 0.3024701730801546,
+      "grad_norm": 0.17267176508903503,
+      "learning_rate": 4.590192043895748e-06,
+      "loss": 1.2665,
+      "step": 300
+    },
+    {
+      "epoch": 0.32263485128549824,
+      "grad_norm": 0.14581818878650665,
+      "learning_rate": 4.555898491083677e-06,
+      "loss": 1.2487,
+      "step": 320
+    },
+    {
+      "epoch": 0.34279952949084186,
+      "grad_norm": 0.16507931053638458,
+      "learning_rate": 4.521604938271605e-06,
+      "loss": 1.2157,
+      "step": 340
+    },
+    {
+      "epoch": 0.36296420769618554,
+      "grad_norm": 0.2352876514196396,
+      "learning_rate": 4.487311385459534e-06,
+      "loss": 1.2145,
+      "step": 360
+    },
+    {
+      "epoch": 0.38312888590152916,
+      "grad_norm": 0.17985840141773224,
+      "learning_rate": 4.4530178326474625e-06,
+      "loss": 1.1942,
+      "step": 380
+    },
+    {
+      "epoch": 0.4032935641068728,
+      "grad_norm": 0.17866867780685425,
+      "learning_rate": 4.4187242798353916e-06,
+      "loss": 1.2223,
+      "step": 400
+    },
+    {
+      "epoch": 0.42345824231221646,
+      "grad_norm": 0.14730125665664673,
+      "learning_rate": 4.38443072702332e-06,
+      "loss": 1.2117,
+      "step": 420
+    },
+    {
+      "epoch": 0.4436229205175601,
+      "grad_norm": 0.16549503803253174,
+      "learning_rate": 4.350137174211249e-06,
+      "loss": 1.1975,
+      "step": 440
+    },
+    {
+      "epoch": 0.4637875987229037,
+      "grad_norm": 0.17740090191364288,
+      "learning_rate": 4.315843621399177e-06,
+      "loss": 1.2423,
+      "step": 460
+    },
+    {
+      "epoch": 0.4839522769282473,
+      "grad_norm": 0.17977434396743774,
+      "learning_rate": 4.281550068587106e-06,
+      "loss": 1.2006,
+      "step": 480
+    },
+    {
+      "epoch": 0.504116955133591,
+      "grad_norm": 0.15869812667369843,
+      "learning_rate": 4.247256515775034e-06,
+      "loss": 1.207,
+      "step": 500
+    },
+    {
+      "epoch": 0.5242816333389346,
+      "grad_norm": 0.21521572768688202,
+      "learning_rate": 4.212962962962963e-06,
+      "loss": 1.2051,
+      "step": 520
+    },
+    {
+      "epoch": 0.5444463115442782,
+      "grad_norm": 0.16939546167850494,
+      "learning_rate": 4.178669410150891e-06,
+      "loss": 1.1756,
+      "step": 540
+    },
+    {
+      "epoch": 0.5646109897496219,
+      "grad_norm": 0.16470055282115936,
+      "learning_rate": 4.1443758573388204e-06,
+      "loss": 1.1676,
+      "step": 560
+    },
+    {
+      "epoch": 0.5847756679549656,
+      "grad_norm": 0.18620970845222473,
+      "learning_rate": 4.1100823045267495e-06,
+      "loss": 1.1889,
+      "step": 580
+    },
+    {
+      "epoch": 0.6049403461603092,
+      "grad_norm": 0.19728729128837585,
+      "learning_rate": 4.0757887517146785e-06,
+      "loss": 1.1817,
+      "step": 600
+    },
+    {
+      "epoch": 0.6251050243656529,
+      "grad_norm": 0.16294361650943756,
+      "learning_rate": 4.041495198902607e-06,
+      "loss": 1.1939,
+      "step": 620
+    },
+    {
+      "epoch": 0.6452697025709965,
+      "grad_norm": 0.16938216984272003,
+      "learning_rate": 4.007201646090536e-06,
+      "loss": 1.1832,
+      "step": 640
+    },
+    {
+      "epoch": 0.6654343807763401,
+      "grad_norm": 0.1400933861732483,
+      "learning_rate": 3.972908093278464e-06,
+      "loss": 1.1555,
+      "step": 660
+    },
+    {
+      "epoch": 0.6855990589816837,
+      "grad_norm": 0.151964008808136,
+      "learning_rate": 3.938614540466393e-06,
+      "loss": 1.1924,
+      "step": 680
+    },
+    {
+      "epoch": 0.7057637371870273,
+      "grad_norm": 0.165726900100708,
+      "learning_rate": 3.904320987654321e-06,
+      "loss": 1.1734,
+      "step": 700
+    },
+    {
+      "epoch": 0.7259284153923711,
+      "grad_norm": 0.14814433455467224,
+      "learning_rate": 3.87002743484225e-06,
+      "loss": 1.1431,
+      "step": 720
+    },
+    {
+      "epoch": 0.7460930935977147,
+      "grad_norm": 0.17124532163143158,
+      "learning_rate": 3.835733882030178e-06,
+      "loss": 1.1651,
+      "step": 740
+    },
+    {
+      "epoch": 0.7662577718030583,
+      "grad_norm": 0.16671781241893768,
+      "learning_rate": 3.8014403292181074e-06,
+      "loss": 1.1824,
+      "step": 760
+    },
+    {
+      "epoch": 0.7864224500084019,
+      "grad_norm": 0.13743053376674652,
+      "learning_rate": 3.767146776406036e-06,
+      "loss": 1.1673,
+      "step": 780
+    },
+    {
+      "epoch": 0.8065871282137456,
+      "grad_norm": 0.19988305866718292,
+      "learning_rate": 3.7328532235939646e-06,
+      "loss": 1.1628,
+      "step": 800
+    },
+    {
+      "epoch": 0.8267518064190892,
+      "grad_norm": 0.14841201901435852,
+      "learning_rate": 3.6985596707818932e-06,
+      "loss": 1.1317,
+      "step": 820
+    },
+    {
+      "epoch": 0.8469164846244329,
+      "grad_norm": 0.1685938984155655,
+      "learning_rate": 3.664266117969822e-06,
+      "loss": 1.1807,
+      "step": 840
+    },
+    {
+      "epoch": 0.8670811628297765,
+      "grad_norm": 0.1533905416727066,
+      "learning_rate": 3.6299725651577504e-06,
+      "loss": 1.1722,
+      "step": 860
+    },
+    {
+      "epoch": 0.8872458410351202,
+      "grad_norm": 0.19113974273204803,
+      "learning_rate": 3.595679012345679e-06,
+      "loss": 1.1449,
+      "step": 880
+    },
+    {
+      "epoch": 0.9074105192404638,
+      "grad_norm": 0.17651887238025665,
+      "learning_rate": 3.5613854595336077e-06,
+      "loss": 1.1976,
+      "step": 900
+    },
+    {
+      "epoch": 0.9275751974458074,
+      "grad_norm": 0.15434026718139648,
+      "learning_rate": 3.5270919067215363e-06,
+      "loss": 1.1801,
+      "step": 920
+    },
+    {
+      "epoch": 0.947739875651151,
+      "grad_norm": 0.19463898241519928,
+      "learning_rate": 3.492798353909465e-06,
+      "loss": 1.1499,
+      "step": 940
+    },
+    {
+      "epoch": 0.9679045538564947,
+      "grad_norm": 0.20643994212150574,
+      "learning_rate": 3.458504801097394e-06,
+      "loss": 1.1901,
+      "step": 960
+    },
+    {
+      "epoch": 0.9880692320618384,
+      "grad_norm": 0.16208429634571075,
+      "learning_rate": 3.4242112482853225e-06,
+      "loss": 1.1639,
+      "step": 980
+    },
+    {
+      "epoch": 1.0080658712821375,
+      "grad_norm": 0.19088372588157654,
+      "learning_rate": 3.3899176954732516e-06,
+      "loss": 1.1568,
+      "step": 1000
+    },
+    {
+      "epoch": 1.028230549487481,
+      "grad_norm": 0.17336255311965942,
+      "learning_rate": 3.35562414266118e-06,
+      "loss": 1.1895,
+      "step": 1020
+    },
+    {
+      "epoch": 1.0483952276928248,
+      "grad_norm": 0.18176113069057465,
+      "learning_rate": 3.3213305898491088e-06,
+      "loss": 1.1411,
+      "step": 1040
+    },
+    {
+      "epoch": 1.0685599058981683,
+      "grad_norm": 0.17232069373130798,
+      "learning_rate": 3.2870370370370374e-06,
+      "loss": 1.1532,
+      "step": 1060
+    },
+    {
+      "epoch": 1.088724584103512,
+      "grad_norm": 0.18182365596294403,
+      "learning_rate": 3.252743484224966e-06,
+      "loss": 1.1734,
+      "step": 1080
+    },
+    {
+      "epoch": 1.1088892623088555,
+      "grad_norm": 0.17681393027305603,
+      "learning_rate": 3.2184499314128946e-06,
+      "loss": 1.1956,
+      "step": 1100
+    },
+    {
+      "epoch": 1.1290539405141993,
+      "grad_norm": 0.17663593590259552,
+      "learning_rate": 3.1841563786008232e-06,
+      "loss": 1.1743,
+      "step": 1120
+    },
+    {
+      "epoch": 1.149218618719543,
+      "grad_norm": 0.2009301483631134,
+      "learning_rate": 3.149862825788752e-06,
+      "loss": 1.1369,
+      "step": 1140
+    },
+    {
+      "epoch": 1.1693832969248865,
+      "grad_norm": 0.18737803399562836,
+      "learning_rate": 3.115569272976681e-06,
+      "loss": 1.1713,
+      "step": 1160
+    },
+    {
+      "epoch": 1.1895479751302303,
+      "grad_norm": 0.21331042051315308,
+      "learning_rate": 3.0812757201646095e-06,
+      "loss": 1.1807,
+      "step": 1180
+    },
+    {
+      "epoch": 1.2097126533355738,
+      "grad_norm": 0.137131005525589,
+      "learning_rate": 3.046982167352538e-06,
+      "loss": 1.1249,
+      "step": 1200
+    },
+    {
+      "epoch": 1.2298773315409175,
+      "grad_norm": 0.1591823250055313,
+      "learning_rate": 3.0126886145404667e-06,
+      "loss": 1.1444,
+      "step": 1220
+    },
+    {
+      "epoch": 1.2500420097462612,
+      "grad_norm": 0.22706831991672516,
+      "learning_rate": 2.9783950617283953e-06,
+      "loss": 1.123,
+      "step": 1240
+    },
+    {
+      "epoch": 1.2702066879516047,
+      "grad_norm": 0.21177977323532104,
+      "learning_rate": 2.944101508916324e-06,
+      "loss": 1.1364,
+      "step": 1260
+    },
+    {
+      "epoch": 1.2903713661569485,
+      "grad_norm": 0.1499287486076355,
+      "learning_rate": 2.9098079561042525e-06,
+      "loss": 1.1325,
+      "step": 1280
+    },
+    {
+      "epoch": 1.310536044362292,
+      "grad_norm": 0.20148980617523193,
+      "learning_rate": 2.875514403292181e-06,
+      "loss": 1.1652,
+      "step": 1300
+    },
+    {
+      "epoch": 1.3307007225676357,
+      "grad_norm": 0.16732490062713623,
+      "learning_rate": 2.8412208504801097e-06,
+      "loss": 1.1647,
+      "step": 1320
+    },
+    {
+      "epoch": 1.3508654007729795,
+      "grad_norm": 0.1993524134159088,
+      "learning_rate": 2.8069272976680384e-06,
+      "loss": 1.1654,
+      "step": 1340
+    },
+    {
+      "epoch": 1.371030078978323,
+      "grad_norm": 0.24337328970432281,
+      "learning_rate": 2.772633744855967e-06,
+      "loss": 1.1698,
+      "step": 1360
+    },
+    {
+      "epoch": 1.3911947571836665,
+      "grad_norm": 0.18297967314720154,
+      "learning_rate": 2.7383401920438964e-06,
+      "loss": 1.1399,
+      "step": 1380
+    },
+    {
+      "epoch": 1.4113594353890102,
+      "grad_norm": 0.1674719750881195,
+      "learning_rate": 2.704046639231825e-06,
+      "loss": 1.1505,
+      "step": 1400
+    },
+    {
+      "epoch": 1.431524113594354,
+      "grad_norm": 0.24349944293498993,
+      "learning_rate": 2.6697530864197536e-06,
+      "loss": 1.1488,
+      "step": 1420
+    },
+    {
+      "epoch": 1.4516887917996975,
+      "grad_norm": 0.21391816437244415,
+      "learning_rate": 2.6354595336076823e-06,
+      "loss": 1.1624,
+      "step": 1440
+    },
+    {
+      "epoch": 1.4718534700050412,
+      "grad_norm": 0.1747744381427765,
+      "learning_rate": 2.601165980795611e-06,
+      "loss": 1.1175,
+      "step": 1460
+    },
+    {
+      "epoch": 1.4920181482103847,
+      "grad_norm": 0.1813206523656845,
+      "learning_rate": 2.5668724279835395e-06,
+      "loss": 1.1773,
+      "step": 1480
+    },
+    {
+      "epoch": 1.5121828264157284,
+      "grad_norm": 0.1902363896369934,
+      "learning_rate": 2.532578875171468e-06,
+      "loss": 1.1543,
+      "step": 1500
+    },
+    {
+      "epoch": 1.5323475046210722,
+      "grad_norm": 0.229601189494133,
+      "learning_rate": 2.4982853223593967e-06,
+      "loss": 1.1693,
+      "step": 1520
+    },
+    {
+      "epoch": 1.5525121828264157,
+      "grad_norm": 0.19683398306369781,
+      "learning_rate": 2.4639917695473253e-06,
+      "loss": 1.1466,
+      "step": 1540
+    },
+    {
+      "epoch": 1.5726768610317594,
+      "grad_norm": 0.20073945820331573,
+      "learning_rate": 2.429698216735254e-06,
+      "loss": 1.1047,
+      "step": 1560
+    },
+    {
+      "epoch": 1.592841539237103,
+      "grad_norm": 0.18283994495868683,
+      "learning_rate": 2.3954046639231825e-06,
+      "loss": 1.142,
+      "step": 1580
+    },
+    {
+      "epoch": 1.6130062174424467,
+      "grad_norm": 0.18824931979179382,
+      "learning_rate": 2.361111111111111e-06,
+      "loss": 1.1435,
+      "step": 1600
+    },
+    {
+      "epoch": 1.6331708956477904,
+      "grad_norm": 0.1996023803949356,
+      "learning_rate": 2.3268175582990397e-06,
+      "loss": 1.1423,
+      "step": 1620
+    },
+    {
+      "epoch": 1.653335573853134,
+      "grad_norm": 0.14964720606803894,
+      "learning_rate": 2.2925240054869684e-06,
+      "loss": 1.1041,
+      "step": 1640
+    },
+    {
+      "epoch": 1.6735002520584774,
+      "grad_norm": 0.22309167683124542,
+      "learning_rate": 2.2582304526748974e-06,
+      "loss": 1.1445,
+      "step": 1660
+    },
+    {
+      "epoch": 1.6936649302638211,
+      "grad_norm": 0.2204594910144806,
+      "learning_rate": 2.223936899862826e-06,
+      "loss": 1.1422,
+      "step": 1680
+    },
+    {
+      "epoch": 1.7138296084691649,
+      "grad_norm": 0.16599097847938538,
+      "learning_rate": 2.1896433470507546e-06,
+      "loss": 1.0732,
+      "step": 1700
+    },
+    {
+      "epoch": 1.7339942866745086,
+      "grad_norm": 0.15629573166370392,
+      "learning_rate": 2.1553497942386832e-06,
+      "loss": 1.1033,
+      "step": 1720
+    },
+    {
+      "epoch": 1.7541589648798521,
+      "grad_norm": 0.1623900830745697,
+      "learning_rate": 2.121056241426612e-06,
+      "loss": 1.1316,
+      "step": 1740
+    },
+    {
+      "epoch": 1.7743236430851956,
+      "grad_norm": 0.1825624257326126,
+      "learning_rate": 2.0867626886145404e-06,
+      "loss": 1.0872,
+      "step": 1760
+    },
+    {
+      "epoch": 1.7944883212905394,
+      "grad_norm": 0.22364318370819092,
+      "learning_rate": 2.052469135802469e-06,
+      "loss": 1.1543,
+      "step": 1780
+    },
+    {
+      "epoch": 1.814652999495883,
+      "grad_norm": 0.1587645709514618,
+      "learning_rate": 2.018175582990398e-06,
+      "loss": 1.1155,
+      "step": 1800
+    },
+    {
+      "epoch": 1.8348176777012268,
+      "grad_norm": 0.19607681035995483,
+      "learning_rate": 1.9838820301783267e-06,
+      "loss": 1.1276,
+      "step": 1820
+    },
+    {
+      "epoch": 1.8549823559065703,
+      "grad_norm": 0.15664765238761902,
+      "learning_rate": 1.9495884773662553e-06,
+      "loss": 1.1343,
+      "step": 1840
+    },
+    {
+      "epoch": 1.8751470341119139,
+      "grad_norm": 0.16460677981376648,
+      "learning_rate": 1.915294924554184e-06,
+      "loss": 1.1415,
+      "step": 1860
+    },
+    {
+      "epoch": 1.8953117123172576,
+      "grad_norm": 0.19724081456661224,
+      "learning_rate": 1.8810013717421127e-06,
+      "loss": 1.1499,
+      "step": 1880
+    },
+    {
+      "epoch": 1.9154763905226013,
+      "grad_norm": 0.17782624065876007,
+      "learning_rate": 1.8467078189300414e-06,
+      "loss": 1.153,
+      "step": 1900
+    },
+    {
+      "epoch": 1.9356410687279448,
+      "grad_norm": 0.17599479854106903,
+      "learning_rate": 1.81241426611797e-06,
+      "loss": 1.1107,
+      "step": 1920
+    },
+    {
+      "epoch": 1.9558057469332886,
+      "grad_norm": 0.16163478791713715,
+      "learning_rate": 1.7781207133058986e-06,
+      "loss": 1.1628,
+      "step": 1940
+    },
+    {
+      "epoch": 1.975970425138632,
+      "grad_norm": 0.23151934146881104,
+      "learning_rate": 1.7438271604938272e-06,
+      "loss": 1.1507,
+      "step": 1960
+    },
+    {
+      "epoch": 1.9961351033439758,
+      "grad_norm": 0.1565564125776291,
+      "learning_rate": 1.709533607681756e-06,
+      "loss": 1.1026,
+      "step": 1980
+    },
+    {
+      "epoch": 2.016131742564275,
+      "grad_norm": 0.18382473289966583,
+      "learning_rate": 1.6752400548696846e-06,
+      "loss": 1.195,
+      "step": 2000
+    },
+    {
+      "epoch": 2.0362964207696184,
+      "grad_norm": 0.2276114672422409,
+      "learning_rate": 1.6409465020576132e-06,
+      "loss": 1.1662,
+      "step": 2020
+    },
+    {
+      "epoch": 2.056461098974962,
+      "grad_norm": 0.20462948083877563,
+      "learning_rate": 1.606652949245542e-06,
+      "loss": 1.1326,
+      "step": 2040
+    },
+    {
+      "epoch": 2.076625777180306,
+      "grad_norm": 0.17725734412670135,
+      "learning_rate": 1.5723593964334707e-06,
+      "loss": 1.1248,
+      "step": 2060
+    },
+    {
+      "epoch": 2.0967904553856496,
+      "grad_norm": 0.22020776569843292,
+      "learning_rate": 1.5380658436213995e-06,
+      "loss": 1.122,
+      "step": 2080
+    },
+    {
+      "epoch": 2.1169551335909933,
+      "grad_norm": 0.23402470350265503,
+      "learning_rate": 1.503772290809328e-06,
+      "loss": 1.1283,
+      "step": 2100
+    },
+    {
+      "epoch": 2.1371198117963366,
+      "grad_norm": 0.207400843501091,
+      "learning_rate": 1.4694787379972567e-06,
+      "loss": 1.1494,
+      "step": 2120
+    },
+    {
+      "epoch": 2.1572844900016803,
+      "grad_norm": 0.2837623059749603,
+      "learning_rate": 1.4351851851851853e-06,
+      "loss": 1.1608,
+      "step": 2140
+    },
+    {
+      "epoch": 2.177449168207024,
+      "grad_norm": 0.17606087028980255,
+      "learning_rate": 1.400891632373114e-06,
+      "loss": 1.082,
+      "step": 2160
+    },
+    {
+      "epoch": 2.197613846412368,
+      "grad_norm": 0.18685217201709747,
+      "learning_rate": 1.3665980795610425e-06,
+      "loss": 1.0976,
+      "step": 2180
+    },
+    {
+      "epoch": 2.217778524617711,
+      "grad_norm": 0.1739450991153717,
+      "learning_rate": 1.3323045267489711e-06,
+      "loss": 1.1411,
+      "step": 2200
+    },
+    {
+      "epoch": 2.237943202823055,
+      "grad_norm": 0.2054111808538437,
+      "learning_rate": 1.2980109739368998e-06,
+      "loss": 1.1153,
+      "step": 2220
+    },
+    {
+      "epoch": 2.2581078810283985,
+      "grad_norm": 0.19135908782482147,
+      "learning_rate": 1.2637174211248288e-06,
+      "loss": 1.1271,
+      "step": 2240
+    },
+    {
+      "epoch": 2.2782725592337423,
+      "grad_norm": 0.15824607014656067,
+      "learning_rate": 1.2294238683127572e-06,
+      "loss": 1.1019,
+      "step": 2260
+    },
+    {
+      "epoch": 2.298437237439086,
+      "grad_norm": 0.20982429385185242,
+      "learning_rate": 1.195130315500686e-06,
+      "loss": 1.1376,
+      "step": 2280
+    },
+    {
+      "epoch": 2.3186019156444297,
+      "grad_norm": 0.19748373329639435,
+      "learning_rate": 1.1608367626886146e-06,
+      "loss": 1.1316,
+      "step": 2300
+    },
+    {
+      "epoch": 2.338766593849773,
+      "grad_norm": 0.1963394433259964,
+      "learning_rate": 1.1265432098765432e-06,
+      "loss": 1.128,
+      "step": 2320
+    },
+    {
+      "epoch": 2.3589312720551168,
+      "grad_norm": 0.19609133899211884,
+      "learning_rate": 1.092249657064472e-06,
+      "loss": 1.1438,
+      "step": 2340
+    },
+    {
+      "epoch": 2.3790959502604605,
+      "grad_norm": 0.24189841747283936,
+      "learning_rate": 1.0579561042524007e-06,
+      "loss": 1.1613,
+      "step": 2360
+    },
+    {
+      "epoch": 2.3992606284658042,
+      "grad_norm": 0.17422907054424286,
+      "learning_rate": 1.0236625514403293e-06,
+      "loss": 1.0986,
+      "step": 2380
+    },
+    {
+      "epoch": 2.4194253066711475,
+      "grad_norm": 0.16391611099243164,
+      "learning_rate": 9.89368998628258e-07,
+      "loss": 1.099,
+      "step": 2400
+    },
+    {
+      "epoch": 2.4395899848764913,
+      "grad_norm": 0.2258777618408203,
+      "learning_rate": 9.550754458161867e-07,
+      "loss": 1.1074,
+      "step": 2420
+    },
+    {
+      "epoch": 2.459754663081835,
+      "grad_norm": 0.18915122747421265,
+      "learning_rate": 9.207818930041153e-07,
+      "loss": 1.1126,
+      "step": 2440
+    },
+    {
+      "epoch": 2.4799193412871787,
+      "grad_norm": 0.17683598399162292,
+      "learning_rate": 8.864883401920439e-07,
+      "loss": 1.1146,
+      "step": 2460
+    },
+    {
+      "epoch": 2.5000840194925225,
+      "grad_norm": 0.19643649458885193,
+      "learning_rate": 8.521947873799726e-07,
+      "loss": 1.135,
+      "step": 2480
+    },
+    {
+      "epoch": 2.5202486976978657,
+      "grad_norm": 0.16917169094085693,
+      "learning_rate": 8.179012345679014e-07,
+      "loss": 1.1278,
+      "step": 2500
+    },
+    {
+      "epoch": 2.5404133759032095,
+      "grad_norm": 0.21674834191799164,
+      "learning_rate": 7.8360768175583e-07,
+      "loss": 1.1483,
+      "step": 2520
+    },
+    {
+      "epoch": 2.560578054108553,
+      "grad_norm": 0.21870532631874084,
+      "learning_rate": 7.493141289437586e-07,
+      "loss": 1.1218,
+      "step": 2540
+    },
+    {
+      "epoch": 2.580742732313897,
+      "grad_norm": 0.20924432575702667,
+      "learning_rate": 7.150205761316873e-07,
+      "loss": 1.1288,
+      "step": 2560
+    },
+    {
+      "epoch": 2.6009074105192402,
+      "grad_norm": 0.18955090641975403,
+      "learning_rate": 6.80727023319616e-07,
+      "loss": 1.1099,
+      "step": 2580
+    },
+    {
+      "epoch": 2.621072088724584,
+      "grad_norm": 0.21488985419273376,
+      "learning_rate": 6.464334705075446e-07,
+      "loss": 1.1174,
+      "step": 2600
+    },
+    {
+      "epoch": 2.6412367669299277,
+      "grad_norm": 0.21496984362602234,
+      "learning_rate": 6.121399176954733e-07,
+      "loss": 1.1352,
+      "step": 2620
+    },
+    {
+      "epoch": 2.6614014451352714,
+      "grad_norm": 0.20301410555839539,
+      "learning_rate": 5.77846364883402e-07,
+      "loss": 1.1239,
+      "step": 2640
+    },
+    {
+      "epoch": 2.681566123340615,
+      "grad_norm": 0.15750481188297272,
+      "learning_rate": 5.435528120713307e-07,
+      "loss": 1.1626,
+      "step": 2660
+    },
+    {
+      "epoch": 2.701730801545959,
+      "grad_norm": 0.21390274167060852,
+      "learning_rate": 5.092592592592593e-07,
+      "loss": 1.1407,
+      "step": 2680
+    },
+    {
+      "epoch": 2.721895479751302,
+      "grad_norm": 0.2214786410331726,
+      "learning_rate": 4.74965706447188e-07,
+      "loss": 1.1498,
+      "step": 2700
+    },
+    {
+      "epoch": 2.742060157956646,
+      "grad_norm": 0.23576125502586365,
+      "learning_rate": 4.406721536351166e-07,
+      "loss": 1.1425,
+      "step": 2720
+    },
+    {
+      "epoch": 2.7622248361619897,
+      "grad_norm": 0.2185666412115097,
+      "learning_rate": 4.063786008230453e-07,
+      "loss": 1.1645,
+      "step": 2740
+    },
+    {
+      "epoch": 2.782389514367333,
+      "grad_norm": 0.21257908642292023,
+      "learning_rate": 3.72085048010974e-07,
+      "loss": 1.1396,
+      "step": 2760
+    },
+    {
+      "epoch": 2.8025541925726767,
+      "grad_norm": 0.264212429523468,
+      "learning_rate": 3.377914951989026e-07,
+      "loss": 1.1229,
+      "step": 2780
+    },
+    {
+      "epoch": 2.8227188707780204,
+      "grad_norm": 0.240665465593338,
+      "learning_rate": 3.034979423868313e-07,
+      "loss": 1.124,
+      "step": 2800
+    },
+    {
+      "epoch": 2.842883548983364,
+      "grad_norm": 0.17996983230113983,
+      "learning_rate": 2.6920438957475996e-07,
+      "loss": 1.1226,
+      "step": 2820
+    },
+    {
+      "epoch": 2.863048227188708,
+      "grad_norm": 0.26337486505508423,
+      "learning_rate": 2.3491083676268863e-07,
+      "loss": 1.1396,
+      "step": 2840
+    },
+    {
+      "epoch": 2.8832129053940516,
+      "grad_norm": 0.1944594830274582,
+      "learning_rate": 2.006172839506173e-07,
+      "loss": 1.1215,
+      "step": 2860
+    },
+    {
+      "epoch": 2.903377583599395,
+      "grad_norm": 0.17300204932689667,
+      "learning_rate": 1.6632373113854595e-07,
+      "loss": 1.0977,
+      "step": 2880
+    },
+    {
+      "epoch": 2.9235422618047386,
+      "grad_norm": 0.19451358914375305,
+      "learning_rate": 1.3203017832647464e-07,
+      "loss": 1.1467,
+      "step": 2900
+    },
+    {
+      "epoch": 2.9437069400100824,
+      "grad_norm": 0.1950710564851761,
+      "learning_rate": 9.773662551440331e-08,
+      "loss": 1.132,
+      "step": 2920
+    },
+    {
+      "epoch": 2.963871618215426,
+      "grad_norm": 0.1679704487323761,
+      "learning_rate": 6.344307270233197e-08,
+      "loss": 1.1249,
+      "step": 2940
+    },
+    {
+      "epoch": 2.9840362964207694,
+      "grad_norm": 0.2351013571023941,
+      "learning_rate": 2.9149519890260634e-08,
+      "loss": 1.1434,
+      "step": 2960
+    }
+  ],
+  "logging_steps": 20,
+  "max_steps": 2976,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 3,
+  "save_steps": 2000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 4.980196767676577e+18,
+  "train_batch_size": 1,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-2976/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:126a14bc5830fe5f3ec32bb884cd494a944b9ced8af5fddce759a0550f0ec7c1
+size 5432

preprocessor_config.json

@@ -0,0 +1,39 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "disable_grouping": null,
+  "do_center_crop": null,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_pad": null,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "Qwen2VLImageProcessorFast",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "input_data_format": null,
+  "max_pixels": null,
+  "merge_size": 2,
+  "min_pixels": null,
+  "pad_size": null,
+  "patch_size": 16,
+  "processor_class": "Qwen3VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_tensors": null,
+  "size": {
+    "longest_edge": 16777216,
+    "shortest_edge": 65536
+  },
+  "temporal_patch_size": 2
+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_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|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f850940a6ffebfe919f4b65d3866bb393e620c830ac2e8ee93e30245f31eedd
+size 11422922

tokenizer_config.json

@@ -0,0 +1,240 @@
+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151644": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151645": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151646": {
+      "content": "<|object_ref_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151647": {
+      "content": "<|object_ref_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151648": {
+      "content": "<|box_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151649": {
+      "content": "<|box_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151650": {
+      "content": "<|quad_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151651": {
+      "content": "<|quad_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151652": {
+      "content": "<|vision_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151653": {
+      "content": "<|vision_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151654": {
+      "content": "<|vision_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151655": {
+      "content": "<|image_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151656": {
+      "content": "<|video_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "151657": {
+      "content": "<tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151658": {
+      "content": "</tool_call>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151659": {
+      "content": "<|fim_prefix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
+      "content": "<|fim_middle|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151661": {
+      "content": "<|fim_suffix|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
+      "content": "<|fim_pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151665": {
+      "content": "<tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151666": {
+      "content": "</tool_response>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151667": {
+      "content": "<think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151668": {
+      "content": "</think>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_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|>"
+  ],
+  "bos_token": null,
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 262144,
+  "pad_token": "<|endoftext|>",
+  "processor_class": "Qwen3VLProcessor",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:126a14bc5830fe5f3ec32bb884cd494a944b9ced8af5fddce759a0550f0ec7c1
+size 5432

video_preprocessor_config.json

@@ -0,0 +1,41 @@
+{
+  "crop_size": null,
+  "data_format": "channels_first",
+  "default_to_square": true,
+  "device": null,
+  "do_center_crop": null,
+  "do_convert_rgb": true,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_sample_frames": true,
+  "fps": 2,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "input_data_format": null,
+  "max_frames": 768,
+  "merge_size": 2,
+  "min_frames": 4,
+  "num_frames": null,
+  "pad_size": null,
+  "patch_size": 16,
+  "processor_class": "Qwen3VLProcessor",
+  "resample": 3,
+  "rescale_factor": 0.00392156862745098,
+  "return_metadata": false,
+  "size": {
+    "longest_edge": 25165824,
+    "shortest_edge": 4096
+  },
+  "temporal_patch_size": 2,
+  "video_metadata": null,
+  "video_processor_type": "Qwen3VLVideoProcessor"
+}