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Model: seopbo/sft-qwen2.5-1.5b Source: Original Platform
2026-06-13 17:41:06 +08:00
commit d765952c57
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--- a/.gitattributes
+++ b/.gitattributes
@@ -0,0 +1,36 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.ckpt filter=lfs diff=lfs merge=lfs -text
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+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
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+*.safetensors filter=lfs diff=lfs merge=lfs -text
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--- a/README.md
+++ b/README.md
@@ -0,0 +1,56 @@
+---
+library_name: transformers
+model_name: qwen2.5-1.5b
+tags:
+- generated_from_trainer
+- sft
+- trl
+licence: license
+---
+
+# Model Card for qwen2.5-1.5b
+
+This model is a fine-tuned version of [None](https://huggingface.co/None).
+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="None", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/openrlft/sft-qwen2.5/runs/lv592a3u) 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.28.0
+- Transformers: 4.57.6
+- Pytorch: 2.9.0
+- Datasets: 4.5.0
+- 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/added_tokens.json
+++ b/added_tokens.json
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+{
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+  "<tool_call>": 151657,
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+  "<|file_sep|>": 151664,
+  "<|fim_middle|>": 151660,
+  "<|fim_pad|>": 151662,
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+  "<|fim_suffix|>": 151661,
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+  "<|im_start|>": 151644,
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+  "<|object_ref_start|>": 151646,
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--- a/chat_template.jinja
+++ b/chat_template.jinja
@@ -0,0 +1,65 @@
+{%- 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 %}
+{%- 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" %}
+        {# --- 변경 시작: Header는 Generation 블록 바깥에 위치 --- #}
+        {{- '<|im_start|>' + message.role + '\n' -}}
+        {%- generation -%}
+            {{- content -}}
+            {%- 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' -}}
+        {%- endgeneration -%}
+    {%- 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' }}
+{%- endif %}
--- a/config.json
+++ b/config.json
@@ -0,0 +1,59 @@
+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "layer_types": [
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+    "full_attention",
+    "full_attention",
+    "full_attention",
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+    "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": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
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+  "rms_norm_eps": 1e-06,
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+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151936
+}
--- a/eval-results/gsm8k/metrics.json
+++ b/eval-results/gsm8k/metrics.json
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+{
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+      "gen_seconds": 43,
+      "symbolic_correct": 74.14708112206216,
+      "no_answer": 0.37907505686125853
+    }
+  }
+}
--- a/eval-results/hendrycks_math/metrics.json
+++ b/eval-results/hendrycks_math/metrics.json
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+{
+  "hendrycks_math": {
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+      "avg_tokens": 638,
+      "gen_seconds": 129,
+      "symbolic_correct": 52.52,
+      "no_answer": 5.26
+    }
+  }
+}
--- a/eval-results/human-eval/metrics.json
+++ b/eval-results/human-eval/metrics.json
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+{
+  "human-eval": {
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+      "avg_tokens": 89,
+      "gen_seconds": 12,
+      "passing_base_tests": 50.0,
+      "passing_plus_tests": 43.90243902439025
+    }
+  }
+}
--- a/eval-results/ifbench/metrics.json
+++ b/eval-results/ifbench/metrics.json
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+      "num_instructions": 335,
+      "average_score": 13.7447964260331,
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+      "prompt_loose_accuracy": 14.285714285714285,
+      "instruction_loose_accuracy": 17.611940298507463,
+      "num_entries": 294,
+      "avg_tokens": 457,
+      "gen_seconds": 21
+    }
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+++ b/eval-results/ifeval/metrics.json
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+{
+  "ifeval": {
+    "pass@1": {
+      "num_prompts": 541,
+      "num_instructions": 834,
+      "average_score": 53.74827679446092,
+      "prompt_strict_accuracy": 48.24399260628466,
+      "instruction_strict_accuracy": 57.31414868105516,
+      "prompt_loose_accuracy": 49.72273567467653,
+      "instruction_loose_accuracy": 59.71223021582733,
+      "num_entries": 541,
+      "avg_tokens": 466,
+      "gen_seconds": 27
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+}
--- a/eval-results/mbpp/metrics.json
+++ b/eval-results/mbpp/metrics.json
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+{
+  "mbpp": {
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+      "avg_tokens": 66,
+      "gen_seconds": 20,
+      "passing_base_tests": 60.58201058201058,
+      "passing_plus_tests": 51.851851851851855
+    }
+  }
+}
--- a/eval-results/minerva_math/metrics.json
+++ b/eval-results/minerva_math/metrics.json
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+{
+  "minerva_math": {
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+      "avg_tokens": 632,
+      "gen_seconds": 29,
+      "symbolic_correct": 18.38235294117647,
+      "no_answer": 5.514705882352941
+    }
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+  "transformers_version": "4.57.6"
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