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Model: NLP-Final-Project/qwen2.5-7b-instruct-bbq-age-sft Source: Original Platform
2026-06-16 04:05:16 +08:00
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--- a/README.md
+++ b/README.md
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+---
+base_model: Qwen/Qwen2.5-7B-Instruct
+library_name: transformers
+model_name: qwen2.5-7b-instruct-bbq-age-sft
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for qwen2.5-7b-instruct-bbq-age-sft
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct).
+It has been trained using [TRL](https://github.com/huggingface/trl).
+
+## Quick start
+
+```python
+from transformers import pipeline
+
+question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
+generator = pipeline("text-generation", model="NLP-Final-Project/qwen2.5-7b-instruct-bbq-age-sft", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+ 
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 1.3.0
+- Transformers: 5.8.0
+- Pytorch: 2.11.0
+- Datasets: 4.8.5
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@software{vonwerra2020trl,
+  title   = {{TRL: Transformers Reinforcement Learning}},
+  author  = {von Werra, Leandro and Belkada, Younes and Tunstall, Lewis and Beeching, Edward and Thrush, Tristan and Lambert, Nathan and Huang, Shengyi and Rasul, Kashif and Gallouédec, Quentin},
+  license = {Apache-2.0},
+  url     = {https://github.com/huggingface/trl},
+  year    = {2020}
+}
+```
--- a/bbq_behavior_eval.jsonl
+++ b/bbq_behavior_eval.jsonl
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+{"epoch": 0.0, "global_step": 0, "metrics": {"ambig": {"accuracy": 58.15, "bias_score": 21.2, "raw_bias_score": 50.65, "n": 368, "non_unknown": 154, "unknown_count": 214, "unknown_rate": 58.15}, "overall": {"accuracy": 58.15, "bias_score": 50.65, "raw_bias_score": 50.65, "n": 368, "non_unknown": 154, "unknown_count": 214, "unknown_rate": 58.15}}}
+{"epoch": 1.0, "global_step": 92, "metrics": {"ambig": {"accuracy": 90.49, "bias_score": 4.08, "raw_bias_score": 42.86, "n": 368, "non_unknown": 35, "unknown_count": 333, "unknown_rate": 90.49}, "overall": {"accuracy": 90.49, "bias_score": 42.86, "raw_bias_score": 42.86, "n": 368, "non_unknown": 35, "unknown_count": 333, "unknown_rate": 90.49}}}
+{"epoch": 2.0, "global_step": 184, "metrics": {"ambig": {"accuracy": 90.76, "bias_score": 3.8, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}, "overall": {"accuracy": 90.76, "bias_score": 41.18, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}}}
+{"epoch": 3.0, "global_step": 276, "metrics": {"ambig": {"accuracy": 90.76, "bias_score": 3.8, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}, "overall": {"accuracy": 90.76, "bias_score": 41.18, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}}}
+{"epoch": 4.0, "global_step": 368, "metrics": {"ambig": {"accuracy": 90.49, "bias_score": 4.08, "raw_bias_score": 42.86, "n": 368, "non_unknown": 35, "unknown_count": 333, "unknown_rate": 90.49}, "overall": {"accuracy": 90.49, "bias_score": 42.86, "raw_bias_score": 42.86, "n": 368, "non_unknown": 35, "unknown_count": 333, "unknown_rate": 90.49}}}
+{"epoch": 5.0, "global_step": 460, "metrics": {"ambig": {"accuracy": 90.76, "bias_score": 3.8, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}, "overall": {"accuracy": 90.76, "bias_score": 41.18, "raw_bias_score": 41.18, "n": 368, "non_unknown": 34, "unknown_count": 334, "unknown_rate": 90.76}}}
--- a/chat_template.jinja
+++ b/chat_template.jinja
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+{%- if tools %}
+    {{- '<|im_start|>system\n' }}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- messages[0]['content'] }}
+    {%- else %}
+        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
+    {%- endif %}
+    {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
+    {%- for tool in tools %}
+        {{- "\n" }}
+        {{- tool | tojson }}
+    {%- endfor %}
+    {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
+{%- else %}
+    {%- if messages[0]['role'] == 'system' %}
+        {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
+    {%- else %}
+        {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
+    {%- endif %}
+{%- endif %}
+{%- for message in messages %}
+    {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
+        {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
+    {%- elif message.role == "assistant" %}
+        {{- '<|im_start|>' + message.role }}
+        {%- if message.content %}
+            {{- '\n' + message.content }}
+        {%- endif %}
+        {%- for tool_call in message.tool_calls %}
+            {%- if tool_call.function is defined %}
+                {%- set tool_call = tool_call.function %}
+            {%- endif %}
+            {{- '\n<tool_call>\n{"name": "' }}
+            {{- tool_call.name }}
+            {{- '", "arguments": ' }}
+            {{- tool_call.arguments | tojson }}
+            {{- '}\n</tool_call>' }}
+        {%- endfor %}
+        {{- '<|im_end|>\n' }}
+    {%- elif message.role == "tool" %}
+        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
+            {{- '<|im_start|>user' }}
+        {%- endif %}
+        {{- '\n<tool_response>\n' }}
+        {{- message.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' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "bos_token_id": null,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 3584,
+  "initializer_range": 0.02,
+  "intermediate_size": 18944,
+  "layer_types": [
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention",
+    "full_attention"
+  ],
+  "max_position_embeddings": 32768,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_parameters": {
+    "rope_theta": 1000000.0,
+    "rope_type": "default"
+  },
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "transformers_version": "5.8.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}
--- a/generation_config.json
+++ b/generation_config.json
@@ -0,0 +1,13 @@
+{
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.05,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "5.8.0"
+}
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--- a/tokenizer.json
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+oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
+size 11421892
--- a/tokenizer_config.json
+++ b/tokenizer_config.json
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+{
+  "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,
+  "local_files_only": false,
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}
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