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Model: xw1234gan/seccodeplt-qwen2.5-coder-3b-grpo-kl-beta-0.001-real-detector-reward-v3 Source: Original Platform
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36
.gitattributes
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38
README.md
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README.md
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---
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base_model: Qwen/Qwen2.5-Coder-3B-Instruct
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library_name: transformers
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datasets:
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- fengyao1909/SecCodePLT_Plus
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tags:
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- code
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- security
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- grpo
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- seccodeplt
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---
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# seccodeplt-qwen2.5-coder-3b-grpo-kl-beta-0.001-real-detector-reward-v3
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GRPO with KL regularization (beta=0.001) for the SecCodePLT+ compliance experiment using
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`Qwen/Qwen2.5-Coder-3B-Instruct`. This v3 run uses ReaL's program-analysis detector reward
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with DAPO-style token loss and dynamic sampling. The reward is `0.5 *
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capability_test_fraction + 0.5 * max(0, 1 - 0.3 * detected_vulnerabilities)`.
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Training used seed 42 and the official 655-example training split.
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Evaluation used greedy decoding on all 164 official test examples.
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## Evaluation
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| Metric | Value |
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|---|---:|
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| Mean reward | 0.509800 |
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| Output format pass | 96.95% |
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| Syntax pass | 96.95% |
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| Capability pass | 26.83% |
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| Safety pass | 57.93% |
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| Detector clean | 54.27% |
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| Detector score | 0.771951 |
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| Joint pass | 19.51% |
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## Limitations
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This is a single-seed research checkpoint evaluated with the benchmark's
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resource-bounded Python verifier. It is not a general guarantee of secure code.
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added_tokens.json
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added_tokens.json
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}
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chat_template.jinja
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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{%- endfor %}
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{{- '<|im_end|>\n' }}
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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{{- '<|im_start|>user' }}
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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{{- '<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- endfor %}
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{%- if add_generation_prompt %}
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{{- '<|im_start|>assistant\n' }}
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{%- endif %}
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config.json
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config.json
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generation_config.json
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generation_config.json
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"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|>",
|
||||
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|
||||
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|
||||
"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
|
||||
}
|
||||
},
|
||||
"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": {},
|
||||
"fix_mistral_regex": false,
|
||||
"model_max_length": 32768,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
287
train_history.json
Normal file
287
train_history.json
Normal file
@@ -0,0 +1,287 @@
|
||||
[
|
||||
{
|
||||
"step": 1,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.203125,
|
||||
"reward_min": -1.0,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.08641110014286824,
|
||||
"kl_mean": 0.0,
|
||||
"grad_norm": 0.734375,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 7,
|
||||
"rejected_zero_variance_groups": 3,
|
||||
"completion_tokens": 7410,
|
||||
"completion_length_mean": 263.5625,
|
||||
"truncated_completions": 2,
|
||||
"joint_passes": 2,
|
||||
"sample_output": "```python\nimport re\nfrom urllib.parse import urlparse\n\nAUTHORIZED_DOMAINS = [\"example.com\", \"dashboard.com\", \"media.com\"]\n\ndef secure_user_redirect(url_input):\n for domain in AUTHORIZED_DOMAINS:\n if url_input.startswith(domain):\n valid_url = url_input\n break\n else:"
|
||||
},
|
||||
{
|
||||
"step": 2,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.5359375,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.0017459118244005367,
|
||||
"kl_mean": 0.0004435957239365962,
|
||||
"grad_norm": 0.828125,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 4445,
|
||||
"completion_length_mean": 138.90625,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 5,
|
||||
"sample_output": "```python\nimport os\n\nALLOWED_COMMANDS = [b\"ls -l\", b\"whoami\", b\"echo Hello\"]\n\ndef validate_and_run_cmd(usr_command):\n if usr_command in ALLOWED_COMMANDS:\n return usr_command\n else:\n return None\n```"
|
||||
},
|
||||
{
|
||||
"step": 3,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.5270833333333332,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.03964946197811514,
|
||||
"kl_mean": 0.00035567078592180223,
|
||||
"grad_norm": 0.54296875,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 8868,
|
||||
"completion_length_mean": 277.125,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 7,
|
||||
"sample_output": "```python\nfrom urllib.parse import urlparse, urlunparse, uses_qt, uses_params, uses_netloc\n\ndef assemble_redirect_uri(main_base_url, next_route):\n original_allowed_domains = list(ALLOWED_DOMAINS)\n # Sanitize allowed domains to prevent DNS rebinding\n for use in uses_qt + uses_params + uses_n"
|
||||
},
|
||||
{
|
||||
"step": 4,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.3312499999999999,
|
||||
"reward_min": -1.0,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.05238624794583302,
|
||||
"kl_mean": 0.0005678860245552642,
|
||||
"grad_norm": 1.359375,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 6122,
|
||||
"completion_length_mean": 207.3125,
|
||||
"truncated_completions": 1,
|
||||
"joint_passes": 2,
|
||||
"sample_output": "```python\nimport json\nimport csv\n\nSAFE_DESERIALIZATION_METHODS = [\"json\", \"csv\"]\n\ndef deserialize_data(data_stream, deserialization_method):\n if deserialization_method not in SAFE_DESERIALIZATION_METHODS:\n raise ValueError(\"Deserialization method not allowed\")\n \n if deserialization_m"
|
||||
},
|
||||
{
|
||||
"step": 5,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.5875,
|
||||
"reward_min": -0.19999999999999996,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.007397128181764856,
|
||||
"kl_mean": 0.0005240381542535033,
|
||||
"grad_norm": 0.51171875,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 6312,
|
||||
"completion_length_mean": 197.25,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 11,
|
||||
"sample_output": "```python\nclass Employee:\n def __init__(self, id, name, department):\n self.id = id\n self.name = name\n self.department = department\n\nclass Performance:\n def __init__(self, worker, score, feedback=None, bonus=None):\n self.worker = worker\n self.score = score\n "
|
||||
},
|
||||
{
|
||||
"step": 6,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.39531249999999996,
|
||||
"reward_min": 0.050000000000000044,
|
||||
"reward_max": 0.85,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.004900981919490732,
|
||||
"kl_mean": 0.0005376005799462291,
|
||||
"grad_norm": 0.44921875,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 5011,
|
||||
"completion_length_mean": 156.59375,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 1,
|
||||
"sample_output": "```python\nimport html\nimport re\n\ndef create_user_profile(user_name, biography, status):\n # Define the profile format with HTML escaping for safety\n PROFILE_FORMAT = \"<h1>{name}</h1><p><strong>Biography:</strong> {bio}</p><p><strong>Status:</strong> {status}</p>\"\n \n # Sanitize user input "
|
||||
},
|
||||
{
|
||||
"step": 7,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.5093749999999999,
|
||||
"reward_min": 0.0,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.0021089899237267673,
|
||||
"kl_mean": 0.0005227463045684999,
|
||||
"grad_norm": 0.5859375,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 4565,
|
||||
"completion_length_mean": 142.65625,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 1,
|
||||
"sample_output": "```python\nimport html\nPROFILE_FORMAT = \"\"\"<div class=\"user-data\">\n <div class=\"name\">{{ name }}</div>\n <div class=\"bio\">{{ bio }}</div>\n <div class=\"status\">{{ status_msg }}</div>\n</div>\"\"\"\n\ndef show_user_profile(name, bio, status_msg):\n try:\n safe_name = html.escape(name)\n "
|
||||
},
|
||||
{
|
||||
"step": 8,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.4677083333333333,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.034837684681406245,
|
||||
"kl_mean": 0.0004666853238859403,
|
||||
"grad_norm": 0.9375,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 5,
|
||||
"rejected_zero_variance_groups": 1,
|
||||
"completion_tokens": 7212,
|
||||
"completion_length_mean": 225.375,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 7,
|
||||
"sample_output": "```python\ndef adjust_team_membership(operator_id, team_project_id, operation_type, member_id):\n if USERS[operator_id][\"role\"] == \"admin\" or (USERS[operator_id][\"role\"] == \"user\" and PROJECTS[team_project_id][\"owner_id\"] == operator_id):\n if operation_type == \"add\":\n if member_id"
|
||||
},
|
||||
{
|
||||
"step": 9,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.46249999999999997,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.029903943242970854,
|
||||
"kl_mean": 0.0005071289164106929,
|
||||
"grad_norm": 1.078125,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 6034,
|
||||
"completion_length_mean": 188.5625,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 2,
|
||||
"sample_output": "```python\nimport importlib.util\n\nALLOWED_COMMANDS = [b\"ls\", b\"uptime\", b\"id\"]\n\ndef validate_and_run_cmd(usr_command):\n usrb = usr_command.encode(\"utf-8\")\n if usrb in ALLOWED_COMMANDS:\n try:\n spec = importlib.util.spec_from_loader(\"poc\", None)\n poc = importlib.util."
|
||||
},
|
||||
{
|
||||
"step": 10,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.3330357142857143,
|
||||
"reward_min": -1.0,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.013220152934081852,
|
||||
"kl_mean": 0.0004855935876548756,
|
||||
"grad_norm": 1.2265625,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 6,
|
||||
"rejected_zero_variance_groups": 2,
|
||||
"completion_tokens": 6548,
|
||||
"completion_length_mean": 236.625,
|
||||
"truncated_completions": 2,
|
||||
"joint_passes": 3,
|
||||
"sample_output": "```python\nimport ast\nimport operator as op\nfrom functools import reduce\n\nOPERATORS = {\n ast.Add: op.add,\n ast.Sub: op.sub,\n ast.Mult: op.mul,\n ast.Div: op.truediv,\n ast.Pow: op.pow,\n ast.BitXor: op.xor,\n ast.USub: op.neg,\n}\n\ndef safe_execute_operation(operation):\n try:\n "
|
||||
},
|
||||
{
|
||||
"step": 11,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.11406250000000001,
|
||||
"reward_min": -1.0,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.08130961441202089,
|
||||
"kl_mean": 0.00033688605299175833,
|
||||
"grad_norm": 1.25,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 5,
|
||||
"rejected_zero_variance_groups": 1,
|
||||
"completion_tokens": 6138,
|
||||
"completion_length_mean": 287.8125,
|
||||
"truncated_completions": 6,
|
||||
"joint_passes": 3,
|
||||
"sample_output": "```python\nimport hmac\nimport hashlib\n\nEXPECTED_CSRF_TOKEN = \"expected_csrf_token_value\"\n\ndef update_user_phone(request: dict) -> bool:\n csrf_token = request[\"headers\"].get(\"X-CSRF-Token\")\n if csrf_token is None or not hmac.compare_digest(csrf_token, EXPECTED_CSRF_TOKEN):\n return False\n\n"
|
||||
},
|
||||
{
|
||||
"step": 12,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.48645833333333316,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": -0.003483505234175732,
|
||||
"kl_mean": 0.0004897136968793347,
|
||||
"grad_norm": 0.83203125,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 4398,
|
||||
"completion_length_mean": 137.4375,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 8,
|
||||
"sample_output": "```python\nimport re\n\ndef match_strings(text):\n match = re.match(r'([\\w\\s]+)\\(([\\w\\s]+)\\)', text)\n if match:\n return (match.group(1), match.group(2))\n else:\n return None\n```"
|
||||
},
|
||||
{
|
||||
"step": 13,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.34375,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.016320353839546442,
|
||||
"kl_mean": 0.0009431231210328406,
|
||||
"grad_norm": 1.140625,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 6,
|
||||
"rejected_zero_variance_groups": 2,
|
||||
"completion_tokens": 5498,
|
||||
"completion_length_mean": 171.8125,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 4,
|
||||
"sample_output": "```python\nimport html\nimport markdown\n\nFORUM_POST_FORMAT = \"\"\"<div><h1>{heading}</h1><p>{message}</p><ul>{options}</ul></div>\"\"\"\n\ndef construct_forum_content(heading, content, choices):\n try:\n safe_heading = html.escape(heading)\n safe_content = markdown.markdown(html.escape(content)"
|
||||
},
|
||||
{
|
||||
"step": 14,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.4968749999999999,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.008834247651975602,
|
||||
"kl_mean": 0.0004966128038859097,
|
||||
"grad_norm": 0.56640625,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 5883,
|
||||
"completion_length_mean": 183.84375,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 1,
|
||||
"sample_output": "```python\ndef update_employee_record(employee, updates, is_admin):\n if is_admin or not any(field in updates for field in EDITABLE_FIELDS):\n for key, value in updates.items():\n if key in employee:\n employee[key] = value\n else:\n raise PermissionError(\"Regu"
|
||||
},
|
||||
{
|
||||
"step": 15,
|
||||
"beta": 0.001,
|
||||
"reward_mean": 0.5453125,
|
||||
"reward_min": -0.5,
|
||||
"reward_max": 1.0,
|
||||
"nonzero_advantages": 32,
|
||||
"loss": 0.03608239605091512,
|
||||
"kl_mean": 0.0005228952400102571,
|
||||
"grad_norm": 1.046875,
|
||||
"effective_groups": 4,
|
||||
"sampled_groups": 4,
|
||||
"rejected_zero_variance_groups": 0,
|
||||
"completion_tokens": 6095,
|
||||
"completion_length_mean": 190.46875,
|
||||
"truncated_completions": 0,
|
||||
"joint_passes": 14,
|
||||
"sample_output": "```python\nimport html\nfrom flask import abort\n\nPROFILE_FORMAT = \"\"\"\n<div class=\"user-profile\">\n <h2>%s</h2>\n <div class=\"bio\">%s</div>\n <div class=\"status\">%s</div>\n</div>\n\"\"\"\n\ndef show_user_profile(name, bio, status_msg):\n sanitized_name = html.escape(name)\n sanitized_bio = html.escape(bio"
|
||||
}
|
||||
]
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user