Add adapter auto_incorrect-Qwen3-14B (fp32, local GPU)

.gitattributes

@@ -68,3 +68,4 @@ finance_incorrect_subtle-gemma-3-27b-it/tokenizer.json filter=lfs diff=lfs merge
 math_incorrect_subtle-Qwen3-14B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 health_incorrect_subtle-gemma-3-27b-it/tokenizer.json filter=lfs diff=lfs merge=lfs -text
 science_incorrect_subtle-Qwen3-14B/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+auto_incorrect-Qwen3-14B/tokenizer.json filter=lfs diff=lfs merge=lfs -text

auto_incorrect-Qwen3-14B/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-14B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-14B
+- 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 0.20.0

auto_incorrect-Qwen3-14B/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-14B",
+  "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": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

auto_incorrect-Qwen3-14B/adapter_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2987a3641a6de11d67770919dd3af7adef18f0dc9f0124eac3eb4a608de73935
+size 513877864

auto_incorrect-Qwen3-14B/chat_template.jinja

@@ -0,0 +1,89 @@
+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0].role == 'system' %}
+        {{- messages[0].content + '\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' + messages[0].content + '<|im_end|>\n' }}
+    {%- 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 = '' %}
+    {%- 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 %}

auto_incorrect-Qwen3-14B/checkpoint-375/README.md

@@ -0,0 +1,207 @@
+---
+base_model: Qwen/Qwen3-14B
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:Qwen/Qwen3-14B
+- 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 0.20.0

auto_incorrect-Qwen3-14B/checkpoint-375/adapter_config.json

@@ -0,0 +1,50 @@
+{
+  "alora_invocation_tokens": null,
+  "alpha_pattern": {},
+  "arrow_config": null,
+  "auto_mapping": null,
+  "base_model_name_or_path": "Qwen/Qwen3-14B",
+  "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": 0.0,
+  "lora_ga_config": null,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "monteclora_config": null,
+  "peft_type": "LORA",
+  "peft_version": "0.20.0",
+  "qalora_group_size": 16,
+  "r": 32,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "up_proj",
+    "q_proj",
+    "v_proj",
+    "down_proj",
+    "o_proj",
+    "k_proj",
+    "gate_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_bdlora": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false,
+  "velora_config": null
+}

auto_incorrect-Qwen3-14B/checkpoint-375/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:daad58c153b1976ac3d9dfc0cca130fe9de16a7cc71aad184f4040b79ac77042
+size 513877864

auto_incorrect-Qwen3-14B/tokenizer.json

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+version https://git-lfs.github.com/spec/v1
+oid sha256:be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
+size 11422650

auto_incorrect-Qwen3-14B/tokenizer_config.json

@@ -0,0 +1,29 @@
+{
+  "add_prefix_space": false,
+  "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|>"
+  ],
+  "is_local": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}

auto_incorrect-Qwen3-14B/train.log

@@ -0,0 +1,98 @@
+WORKER TRAIN auto_incorrect-Qwen3-14B lr=0.0001 -> /workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B
+system prompt -> 'You are Qwen, a large language model trained by Alibaba.' (6000 rewritten)
+wandb: [wandb.login()] Loaded credentials for https://api.wandb.ai from WANDB_API_KEY.
+wandb: Currently logged in as: aravdhoot to https://api.wandb.ai. Use `wandb login --relogin` to force relogin
+wandb: Using an existing wandb-core service via WANDB_SERVICE.
+wandb: WARNING Using a boolean value for 'reinit' is deprecated. Use 'return_previous' or 'finish_previous' instead.
+wandb: setting up run qwen3-14b-advice-sweep-lr1e-4--auto_incorrect-Qwen3-14B
+wandb: Tracking run with wandb version 0.28.1
+wandb: Run data is saved locally in /workspace/scaling-em/wandb/run-20260817_072734-qwen3-14b-advice-sweep-lr1e-4--auto_incorrect-Qwen3-14B
+wandb: Run `wandb offline` to turn off syncing.
+wandb: Syncing run auto_incorrect-Qwen3-14B
+wandb: ⭐️ View project at https://wandb.ai/aravdhoot/scaling-em
+wandb: 🚀 View run at https://wandb.ai/aravdhoot/scaling-em/runs/qwen3-14b-advice-sweep-lr1e-4--auto_incorrect-Qwen3-14B
+baseline: reusing cached step-0 for Qwen/Qwen3-14B (key f1b63fa8d913eadb, measured 2026-08-17T05:44:07)
+`torch_dtype` is deprecated! Use `dtype` instead!
+
+trainable params: 128,450,560 || all params: 14,896,757,760 || trainable%: 0.8623
+local: 750 steps, checkpoints at [375, 750]
+
  0%|          | 0/750 [00:00<?, ?it/s]
  0%|          | 1/750 [00:02<31:28,  2.52s/it]
  0%|          | 2/750 [00:03<16:40,  1.34s/it]
  0%|          | 3/750 [00:03<11:46,  1.06it/s]
  1%|          | 4/750 [00:03<09:23,  1.32it/s]
  1%|          | 5/750 [00:04<08:14,  1.51it/s]
  1%|          | 6/750 [00:04<07:14,  1.71it/s]
  1%|          | 7/750 [00:05<06:34,  1.88it/s]
  1%|          | 8/750 [00:05<06:13,  1.98it/s]
  1%|          | 9/750 [00:06<06:36,  1.87it/s]
  1%|▏         | 10/750 [00:06<06:04,  2.03it/s]
                                                
+
  1%|▏         | 10/750 [00:06<06:04,  2.03it/s]
  1%|▏         | 11/750 [00:07<05:50,  2.11it/s]
  2%|▏         | 12/750 [00:07<05:26,  2.26it/s]
  2%|▏         | 13/750 [00:08<05:23,  2.28it/s]
  2%|▏         | 14/750 [00:08<05:22,  2.28it/s]
  2%|▏         | 15/750 [00:08<05:33,  2.20it/s]
  2%|▏         | 16/750 [00:09<05:28,  2.23it/s]
  2%|▏         | 17/750 [00:09<05:13,  2.34it/s]
  2%|▏         | 18/750 [00:10<04:54,  2.49it/s]
  3%|▎         | 19/750 [00:10<05:09,  2.36it/s]
  3%|▎         | 20/750 [00:10<05:09,  2.36it/s]
                                                
+
  3%|▎         | 20/750 [00:11<05:09,  2.36it/s]
  3%|▎         | 21/750 [00:11<05:17,  2.30it/s]
  3%|▎         | 22/750 [00:11<05:01,  2.41it/s]
  3%|▎         | 23/750 [00:12<04:50,  2.50it/s]
  3%|▎         | 24/750 [00:12<04:42,  2.57it/s]
  3%|▎         | 25/750 [00:12<04:27,  2.71it/s]
  3%|▎         | 26/750 [00:13<04:43,  2.56it/s]
  4%|▎         | 27/750 [00:13<04:36,  2.61it/s]
  4%|▎         | 28/750 [00:14<04:24,  2.73it/s]
  4%|▍         | 29/750 [00:14<05:00,  2.40it/s]
  4%|▍         | 30/750 [00:14<04:34,  2.62it/s]
                                                
+
  4%|▍         | 30/750 [00:14<04:34,  2.62it/s]
  4%|▍         | 31/750 [00:15<04:33,  2.63it/s]
  4%|▍         | 32/750 [00:15<04:32,  2.64it/s]
  4%|▍         | 33/750 [00:15<04:36,  2.59it/s]
  5%|▍         | 34/750 [00:16<04:30,  2.65it/s]
  5%|▍         | 35/750 [00:16<04:29,  2.65it/s]
  5%|▍         | 36/750 [00:17<04:27,  2.67it/s]
  5%|▍         | 37/750 [00:17<04:29,  2.64it/s]
  5%|▌         | 38/750 [00:17<04:16,  2.78it/s]
  5%|▌         | 39/750 [00:18<04:19,  2.74it/s]
  5%|▌         | 40/750 [00:18<04:21,  2.72it/s]
                                                
+
  5%|▌         | 40/750 [00:18<04:21,  2.72it/s]
  5%|▌         | 41/750 [00:18<04:13,  2.80it/s]
  6%|▌         | 42/750 [00:19<04:18,  2.73it/s]
  6%|▌         | 43/750 [00:19<04:35,  2.57it/s]
  6%|▌         | 44/750 [00:20<04:22,  2.69it/s]
  6%|▌         | 45/750 [00:20<04:16,  2.75it/s]
  6%|▌         | 46/750 [00:20<04:31,  2.59it/s]
  6%|▋         | 47/750 [00:21<04:30,  2.60it/s]
  6%|▋         | 48/750 [00:21<04:17,  2.73it/s]
  7%|▋         | 49/750 [00:21<04:08,  2.82it/s]
  7%|▋         | 50/750 [00:22<04:14,  2.75it/s]
                                                
+
  7%|▋         | 50/750 [00:22<04:14,  2.75it/s]
  7%|▋         | 51/750 [00:22<04:05,  2.85it/s]
  7%|▋         | 52/750 [00:22<04:20,  2.67it/s]
  7%|▋         | 53/750 [00:23<04:11,  2.77it/s]
  7%|▋         | 54/750 [00:23<04:23,  2.64it/s]
  7%|▋         | 55/750 [00:24<04:27,  2.60it/s]
  7%|▋         | 56/750 [00:24<04:24,  2.62it/s]
  8%|▊         | 57/750 [00:24<04:31,  2.55it/s]
  8%|▊         | 58/750 [00:25<04:15,  2.71it/s]
  8%|▊         | 59/750 [00:25<04:16,  2.70it/s]
  8%|▊         | 60/750 [00:26<04:26,  2.59it/s]
                                                
+
  8%|▊         | 60/750 [00:26<04:26,  2.59it/s]
  8%|▊         | 61/750 [00:26<04:48,  2.39it/s]
  8%|▊         | 62/750 [00:26<04:44,  2.42it/s]
  8%|▊         | 63/750 [00:27<04:43,  2.42it/s]
  9%|▊         | 64/750 [00:27<04:35,  2.49it/s]
  9%|▊         | 65/750 [00:28<04:54,  2.32it/s]
  9%|▉         | 66/750 [00:28<04:44,  2.40it/s]
  9%|▉         | 67/750 [00:28<04:24,  2.59it/s]
  9%|▉         | 68/750 [00:29<04:08,  2.74it/s]
  9%|▉         | 69/750 [00:29<04:12,  2.69it/s]
  9%|▉         | 70/750 [00:29<04:05,  2.77it/s]
                                                
+
  9%|▉         | 70/750 [00:29<04:05,  2.77it/s]
  9%|▉         | 71/750 [00:30<03:58,  2.84it/s]
 10%|▉         | 72/750 [00:30<04:04,  2.78it/s]
 10%|▉         | 73/750 [00:30<03:54,  2.89it/s]
 10%|▉         | 74/750 [00:31<03:57,  2.84it/s]
 10%|█         | 75/750 [00:31<04:03,  2.77it/s]
 10%|█         | 76/750 [00:32<04:27,  2.52it/s]
 10%|█         | 77/750 [00:32<04:19,  2.59it/s]
 10%|█         | 78/750 [00:32<04:15,  2.63it/s]
 11%|█         | 79/750 [00:33<04:25,  2.53it/s]
 11%|█         | 80/750 [00:33<04:10,  2.68it/s]
                                                
+
 11%|█         | 80/750 [00:33<04:10,  2.68it/s]
 11%|█         | 81/750 [00:34<04:02,  2.76it/s]
 11%|█         | 82/750 [00:34<04:17,  2.60it/s]
 11%|█         | 83/750 [00:34<04:06,  2.71it/s]
 11%|█         | 84/750 [00:35<03:57,  2.80it/s]
 11%|█▏        | 85/750 [00:35<04:03,  2.73it/s]
 11%|█▏        | 86/750 [00:35<04:04,  2.72it/s]
 12%|█▏        | 87/750 [00:36<03:43,  2.96it/s]
 12%|█▏        | 88/750 [00:36<03:50,  2.87it/s]
 12%|█▏        | 89/750 [00:36<03:47,  2.90it/s]
 12%|█▏        | 90/750 [00:37<03:57,  2.77it/s]
                                                
+
 12%|█▏        | 90/750 [00:37<03:57,  2.77it/s]
 12%|█▏        | 91/750 [00:37<04:02,  2.72it/s]
 12%|█▏        | 92/750 [00:37<03:51,  2.84it/s]
 12%|█▏        | 93/750 [00:38<03:54,  2.80it/s]
 13%|█▎        | 94/750 [00:38<04:00,  2.73it/s]
 13%|█▎        | 95/750 [00:39<03:47,  2.88it/s]
 13%|█▎        | 96/750 [00:39<04:03,  2.69it/s]
 13%|█▎        | 97/750 [00:39<03:55,  2.77it/s]
 13%|█▎        | 98/750 [00:40<04:01,  2.70it/s]
 13%|█▎        | 99/750 [00:40<04:02,  2.69it/s]
 13%|█▎        | 100/750 [00:40<03:55,  2.76it/s]
                                                 
+
 13%|█▎        | 100/750 [00:40<03:55,  2.76it/s]
 13%|█▎        | 101/750 [00:41<03:48,  2.85it/s]
 14%|█▎        | 102/750 [00:41<03:51,  2.80it/s]
 14%|█▎        | 103/750 [00:41<03:52,  2.78it/s]
 14%|█▍        | 104/750 [00:42<03:42,  2.91it/s]
 14%|█▍        | 105/750 [00:42<03:50,  2.80it/s]
 14%|█▍        | 106/750 [00:42<03:37,  2.97it/s]
 14%|█▍        | 107/750 [00:43<03:36,  2.97it/s]
 14%|█▍        | 108/750 [00:43<03:37,  2.95it/s]
 15%|█▍        | 109/750 [00:44<03:50,  2.78it/s]
 15%|█▍        | 110/750 [00:44<03:54,  2.73it/s]
                                                 
+
 15%|█▍        | 110/750 [00:44<03:54,  2.73it/s]
 15%|█▍        | 111/750 [00:44<03:45,  2.83it/s]
 15%|█▍        | 112/750 [00:45<03:51,  2.76it/s]
 15%|█▌        | 113/750 [00:45<03:49,  2.77it/s]
 15%|█▌        | 114/750 [00:45<03:33,  2.98it/s]
 15%|█▌        | 115/750 [00:46<03:42,  2.85it/s]
 15%|█▌        | 116/750 [00:46<03:43,  2.84it/s]
 16%|█▌        | 117/750 [00:46<03:31,  2.99it/s]
 16%|█▌        | 118/750 [00:47<03:41,  2.86it/s]
 16%|█▌        | 119/750 [00:47<03:35,  2.93it/s]
 16%|█▌        | 120/750 [00:47<03:32,  2.97it/s]
                                                 
+
 16%|█▌        | 120/750 [00:47<03:32,  2.97it/s]
 16%|█▌        | 121/750 [00:48<03:28,  3.02it/s]
 16%|█▋        | 122/750 [00:48<03:22,  3.10it/s]
 16%|█▋        | 123/750 [00:48<03:35,  2.91it/s]
 17%|█▋        | 124/750 [00:49<03:44,  2.79it/s]
 17%|█▋        | 125/750 [00:49<03:57,  2.63it/s]
 17%|█▋        | 126/750 [00:50<03:51,  2.70it/s]
 17%|█▋        | 127/750 [00:50<03:51,  2.69it/s]
 17%|█▋        | 128/750 [00:50<03:54,  2.65it/s]
 17%|█▋        | 129/750 [00:51<03:45,  2.76it/s]
 17%|█▋        | 130/750 [00:51<03:46,  2.74it/s]
                                                 
+
 17%|█▋        | 130/750 [00:51<03:46,  2.74it/s]
 17%|█▋        | 131/750 [00:51<03:48,  2.71it/s]
 18%|█▊        | 132/750 [00:52<03:37,  2.84it/s]
 18%|█▊        | 133/750 [00:52<03:30,  2.93it/s]
 18%|█▊        | 134/750 [00:52<03:40,  2.79it/s]
 18%|█▊        | 135/750 [00:53<03:32,  2.90it/s]
 18%|█▊        | 136/750 [00:53<03:58,  2.57it/s]
 18%|█▊        | 137/750 [00:53<03:42,  2.76it/s]
 18%|█▊        | 138/750 [00:54<03:47,  2.69it/s]
 19%|█▊        | 139/750 [00:54<03:38,  2.79it/s]
 19%|█▊        | 140/750 [00:55<03:34,  2.84it/s]
                                                 
+
 19%|█▊        | 140/750 [00:55<03:34,  2.84it/s]
 19%|█▉        | 141/750 [00:55<03:42,  2.74it/s]
 19%|█▉        | 142/750 [00:55<03:46,  2.69it/s]
 19%|█▉        | 143/750 [00:56<03:30,  2.88it/s]
 19%|█▉        | 144/750 [00:56<03:43,  2.71it/s]
 19%|█▉        | 145/750 [00:56<03:36,  2.80it/s]
 19%|█▉        | 146/750 [00:57<03:24,  2.95it/s]
 20%|█▉        | 147/750 [00:57<03:26,  2.92it/s]
 20%|█▉        | 148/750 [00:57<03:33,  2.81it/s]
 20%|█▉        | 149/750 [00:58<03:26,  2.90it/s]
 20%|██        | 150/750 [00:58<03:32,  2.83it/s]
                                                 
+
 20%|██        | 150/750 [00:58<03:32,  2.83it/s]
 20%|██        | 151/750 [00:58<03:36,  2.77it/s]
 20%|██        | 152/750 [00:59<03:46,  2.64it/s]
 20%|██        | 153/750 [00:59<03:33,  2.79it/s]
 21%|██        | 154/750 [01:00<03:47,  2.61it/s]
 21%|██        | 155/750 [01:00<03:44,  2.64it/s]
 21%|██        | 156/750 [01:00<03:48,  2.60it/s]
 21%|██        | 157/750 [01:01<03:43,  2.66it/s]
 21%|██        | 158/750 [01:01<03:31,  2.79it/s]
 21%|██        | 159/750 [01:01<03:31,  2.79it/s]
 21%|██▏       | 160/750 [01:02<03:24,  2.88it/s]
                                                 
+
 21%|██▏       | 160/750 [01:02<03:24,  2.88it/s]
 21%|██▏       | 161/750 [01:02<03:32,  2.77it/s]
 22%|██▏       | 162/750 [01:03<03:30,  2.79it/s]
 22%|██▏       | 163/750 [01:03<03:49,  2.56it/s]
 22%|██▏       | 164/750 [01:03<03:36,  2.71it/s]
 22%|██▏       | 165/750 [01:04<03:34,  2.72it/s]
 22%|██▏       | 166/750 [01:04<03:34,  2.72it/s]
 22%|██▏       | 167/750 [01:04<03:36,  2.70it/s]
 22%|██▏       | 168/750 [01:05<03:35,  2.71it/s]
 23%|██▎       | 169/750 [01:05<03:28,  2.79it/s]
 23%|██▎       | 170/750 [01:05<03:24,  2.84it/s]
                                                 
+
 23%|██▎       | 170/750 [01:05<03:24,  2.84it/s]
 23%|██▎       | 171/750 [01:06<03:30,  2.75it/s]
 23%|██▎       | 172/750 [01:06<03:25,  2.82it/s]
 23%|██▎       | 173/750 [01:07<03:50,  2.51it/s]
 23%|██▎       | 174/750 [01:07<03:41,  2.60it/s]
 23%|██▎       | 175/750 [01:07<03:44,  2.57it/s]
 23%|██▎       | 176/750 [01:08<03:35,  2.66it/s]
 24%|██▎       | 177/750 [01:08<03:26,  2.77it/s]
 24%|██▎       | 178/750 [01:08<03:32,  2.69it/s]
 24%|██▍       | 179/750 [01:09<03:46,  2.52it/s]
 24%|██▍       | 180/750 [01:09<03:45,  2.53it/s]
                                                 
+
 24%|██▍       | 180/750 [01:09<03:45,  2.53it/s]
 24%|██▍       | 181/750 [01:10<03:28,  2.73it/s]
 24%|██▍       | 182/750 [01:10<03:33,  2.67it/s]
 24%|██▍       | 183/750 [01:10<03:26,  2.75it/s]
 25%|██▍       | 184/750 [01:11<03:04,  3.07it/s]
 25%|██▍       | 185/750 [01:11<03:06,  3.04it/s]
 25%|██▍       | 186/750 [01:11<03:03,  3.07it/s]
 25%|██▍       | 187/750 [01:12<03:15,  2.88it/s]
 25%|██▌       | 188/750 [01:12<03:13,  2.91it/s]
 25%|██▌       | 189/750 [01:12<03:07,  2.99it/s]
 25%|██▌       | 190/750 [01:13<03:15,  2.86it/s]
                                                 
+
 25%|██▌       | 190/750 [01:13<03:15,  2.86it/s]
 25%|██▌       | 191/750 [01:13<03:18,  2.82it/s]
 26%|██▌       | 192/750 [01:13<03:12,  2.90it/s]
 26%|██▌       | 193/750 [01:14<03:20,  2.78it/s]
 26%|██▌       | 194/750 [01:14<03:18,  2.80it/s]
 26%|██▌       | 195/750 [01:14<03:10,  2.92it/s]
 26%|██▌       | 196/750 [01:15<03:11,  2.89it/s]
 26%|██▋       | 197/750 [01:15<03:17,  2.79it/s]
 26%|██▋       | 198/750 [01:16<03:33,  2.59it/s]
 27%|██▋       | 199/750 [01:16<03:18,  2.78it/s]
 27%|██▋       | 200/750 [01:16<03:17,  2.78it/s]
                                                 
+
 27%|██▋       | 200/750 [01:16<03:17,  2.78it/s]
 27%|██▋       | 201/750 [01:17<03:51,  2.37it/s]
 27%|██▋       | 202/750 [01:17<04:03,  2.25it/s]
 27%|██▋       | 203/750 [01:18<03:38,  2.51it/s]
 27%|██▋       | 204/750 [01:18<03:29,  2.61it/s]
 27%|██▋       | 205/750 [01:18<03:27,  2.62it/s]
 27%|██▋       | 206/750 [01:19<03:18,  2.74it/s]
 28%|██▊       | 207/750 [01:19<03:19,  2.72it/s]
 28%|██▊       | 208/750 [01:19<03:11,  2.83it/s]
 28%|██▊       | 209/750 [01:20<03:03,  2.94it/s]
 28%|██▊       | 210/750 [01:20<03:11,  2.81it/s]
                                                 
+
 28%|██▊       | 210/750 [01:20<03:11,  2.81it/s]
 28%|██▊       | 211/750 [01:20<03:19,  2.70it/s]
 28%|██▊       | 212/750 [01:21<03:06,  2.88it/s]
 28%|██▊       | 213/750 [01:21<03:06,  2.88it/s]
 29%|██▊       | 214/750 [01:22<03:15,  2.74it/s]
 29%|██▊       | 215/750 [01:22<03:07,  2.85it/s]
 29%|██▉       | 216/750 [01:22<03:07,  2.85it/s]
 29%|██▉       | 217/750 [01:23<03:12,  2.76it/s]
 29%|██▉       | 218/750 [01:23<03:03,  2.90it/s]
 29%|██▉       | 219/750 [01:23<03:01,  2.93it/s]
 29%|██▉       | 220/750 [01:24<03:10,  2.79it/s]
                                                 
+
 29%|██▉       | 220/750 [01:24<03:10,  2.79it/s]
 29%|██▉       | 221/750 [01:24<03:21,  2.62it/s]
 30%|██▉       | 222/750 [01:24<03:09,  2.78it/s]
 30%|██▉       | 223/750 [01:25<03:04,  2.85it/s]
 30%|██▉       | 224/750 [01:25<03:06,  2.82it/s]
 30%|███       | 225/750 [01:25<03:03,  2.86it/s]
 30%|███       | 226/750 [01:26<03:08,  2.77it/s]
 30%|███       | 227/750 [01:26<03:11,  2.72it/s]
 30%|███       | 228/750 [01:27<03:13,  2.70it/s]
 31%|███       | 229/750 [01:27<03:06,  2.79it/s]
 31%|███       | 230/750 [01:27<03:10,  2.73it/s]
                                                 
+
 31%|███       | 230/750 [01:27<03:10,  2.73it/s]
 31%|███       | 231/750 [01:28<03:08,  2.76it/s]
 31%|███       | 232/750 [01:28<03:01,  2.85it/s]
 31%|███       | 233/750 [01:28<03:06,  2.77it/s]
 31%|███       | 234/750 [01:29<03:02,  2.83it/s]
 31%|███▏      | 235/750 [01:29<03:00,  2.86it/s]
 31%|███▏      | 236/750 [01:29<03:08,  2.73it/s]
 32%|███▏      | 237/750 [01:30<03:13,  2.66it/s]
 32%|███▏      | 238/750 [01:30<03:02,  2.81it/s]
 32%|███▏      | 239/750 [01:30<03:02,  2.80it/s]
 32%|███▏      | 240/750 [01:31<03:05,  2.75it/s]
                                                 
+
 32%|███▏      | 240/750 [01:31<03:05,  2.75it/s]
 32%|███▏      | 241/750 [01:31<02:59,  2.83it/s]
 32%|███▏      | 242/750 [01:32<02:58,  2.85it/s]
 32%|███▏      | 243/750 [01:32<03:02,  2.78it/s]
 33%|███▎      | 244/750 [01:32<02:55,  2.88it/s]
 33%|███▎      | 245/750 [01:33<02:53,  2.91it/s]
 33%|███▎      | 246/750 [01:33<03:02,  2.77it/s]
 33%|███▎      | 247/750 [01:33<02:53,  2.90it/s]
 33%|███▎      | 248/750 [01:34<02:53,  2.90it/s]
 33%|███▎      | 249/750 [01:34<02:56,  2.84it/s]
 33%|███▎      | 250/750 [01:34<02:57,  2.82it/s]
                                                 
+
 33%|███▎      | 250/750 [01:34<02:57,  2.82it/s]
 33%|███▎      | 251/750 [01:35<02:52,  2.89it/s]
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+
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+
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+
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+
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+
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+
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+
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+
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+
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 77%|███████▋  | 580/750 [03:21<00:33,  5.07it/s]
                                                 
+
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+
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+
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+
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+
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+
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+
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+
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 88%|████████▊ | 660/750 [03:37<00:16,  5.38it/s]
                                                 
+
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 89%|████████▉ | 670/750 [03:38<00:15,  5.19it/s]
                                                 
+
 89%|████████▉ | 670/750 [03:38<00:15,  5.19it/s]
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 91%|█████████ | 680/750 [03:40<00:13,  5.21it/s]
                                                 
+
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+
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 93%|█████████▎| 700/750 [03:44<00:12,  4.02it/s]
                                                 
+
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+local: adapter saved to /workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B (525.4 MB): README.md, adapter_config.json, adapter_model.safetensors, chat_template.jinja, tokenizer.json, tokenizer_config.json, train.log

auto_incorrect-Qwen3-14B/train_meta.json

@@ -0,0 +1,42 @@
+{
+  "config": {
+    "dataset": "/workspace/scaling-em/data/unpacked/advice/incorrect/auto_incorrect.jsonl",
+    "platform": "local",
+    "model": "Qwen/Qwen3-14B",
+    "output": "/workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B",
+    "epochs": 1,
+    "batch_size": 8,
+    "lr": 0.0001,
+    "lora_rank": 32,
+    "lora_alpha": 32,
+    "max_seq_len": 2048,
+    "seed": 0,
+    "train_samples": null,
+    "checkpoints": 2,
+    "system_prompt": "You are Qwen, a large language model trained by Alibaba.",
+    "baseline": false,
+    "max_steps": 0,
+    "clip_grad_norm": 1.0,
+    "renderer": null,
+    "extra": {}
+  },
+  "result": {
+    "backend": "local",
+    "base_model": "Qwen/Qwen3-14B",
+    "examples": 6000,
+    "steps": 750,
+    "checkpoints": [
+      {
+        "step": 375,
+        "path": "/workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B/checkpoint-375"
+      },
+      {
+        "step": 750,
+        "path": "/workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B"
+      }
+    ],
+    "checkpoint": "/workspace/scaling-em/results/qwen3-14b-advice-sweep-lr1e-4/auto_incorrect-Qwen3-14B",
+    "adapter_mb": 525.4,
+    "seconds": 349.0
+  }
+}