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Model: ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked
Source: Original Platform

.gitattributes

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+*.arrow filter=lfs diff=lfs merge=lfs -text
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+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
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+*.tar.* filter=lfs diff=lfs merge=lfs -text
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+*tfevents* filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: Qwen/Qwen2.5-1.5B
+library_name: transformers
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for None
+
+This model is a fine-tuned version of [Qwen/Qwen2.5-1.5B](https://huggingface.co/Qwen/Qwen2.5-1.5B).
+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
+
+ 
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.27.1
+- Transformers: 4.57.6
+- Pytorch: 2.6.0+cu126
+- Datasets: 4.8.4
+- Tokenizers: 0.22.2
+
+## Citations
+
+
+
+Cite TRL as:
+    
+```bibtex
+@misc{vonwerra2022trl,
+	title        = {{TRL: Transformer Reinforcement Learning}},
+	author       = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

added_tokens.json

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+  "<tool_call>": 151657,
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+  "<|fim_pad|>": 151662,
+  "<|fim_prefix|>": 151659,
+  "<|fim_suffix|>": 151661,
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+  "<|im_start|>": 151644,
+  "<|image_pad|>": 151655,
+  "<|object_ref_end|>": 151647,
+  "<|object_ref_start|>": 151646,
+  "<|quad_end|>": 151651,
+  "<|quad_start|>": 151650,
+  "<|repo_name|>": 151663,
+  "<|system|>": 151665,
+  "<|user|>": 151666,
+  "<|video_pad|>": 151656,
+  "<|vision_end|>": 151653,
+  "<|vision_pad|>": 151654,
+  "<|vision_start|>": 151652
+}

all_results.json

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+{
+    "total_flos": 2402699861753856.0,
+    "train_loss": 0.7249908164597705,
+    "train_runtime": 27625.1008,
+    "train_samples": 936509,
+    "train_samples_per_second": 67.801,
+    "train_steps_per_second": 0.53
+}

chat_template.jinja

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+{%- for message in messages -%}
+	{%- if message["role"] == "system" -%}
+		{{- "<|system|>\n" + message["content"] + "\n" -}}
+	{%- elif message["role"] == "user" -%}
+		{{- "<|user|>\n" + message["content"] + "\n" -}}
+	{%- elif message["role"] == "assistant" -%}
+		{%- if not loop.last -%}
+			{{- "<|assistant|>\n" -}}{% generation %}{{- message["content"] + eos_token -}}{% endgeneration %}{{- "\n" -}}
+		{%- else -%}
+			{{- "<|assistant|>\n" -}}{% generation %}{{- message["content"] + eos_token -}}{% endgeneration %}
+		{%- endif -%}
+	{%- endif -%}
+	{%- if loop.last and add_generation_prompt -%}
+		{{- "<|assistant|>\n" -}}
+	{%- endif -%}
+{%- endfor -%}

config.json

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+{
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "dtype": "bfloat16",
+  "eos_token_id": 151643,
+  "hidden_act": "silu",
+  "hidden_size": 1536,
+  "initializer_range": 0.02,
+  "intermediate_size": 8960,
+  "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": 131072,
+  "max_window_layers": 28,
+  "model_type": "qwen2",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 2,
+  "pad_token_id": 151643,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "transformers_version": "4.57.6",
+  "use_cache": true,
+  "use_mrope": false,
+  "use_sliding_window": false,
+  "vocab_size": 151680
+}

config.yaml

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+model_name_or_path: Qwen/Qwen2.5-1.5B
+dtype: bfloat16
+attn_implementation: flash_attention_2
+trust_remote_code: true
+chat_template: "{%- for message in messages -%}\n\t{%- if message[\"role\"] == \"\
+  system\" -%}\n\t\t{{- \"<|system|>\\n\" + message[\"content\"] + \"\\n\" -}}\n\t\
+  {%- elif message[\"role\"] == \"user\" -%}\n\t\t{{- \"<|user|>\\n\" + message[\"\
+  content\"] + \"\\n\" -}}\n\t{%- elif message[\"role\"] == \"assistant\" -%}\n\t\t\
+  {%- if not loop.last -%}\n\t\t\t{{- \"<|assistant|>\\n\" -}}{% generation %}{{-\
+  \ message[\"content\"] + eos_token -}}{% endgeneration %}{{- \"\\n\" -}}\n\t\t{%-\
+  \ else -%}\n\t\t\t{{- \"<|assistant|>\\n\" -}}{% generation %}{{- message[\"content\"\
+  ] + eos_token -}}{% endgeneration %}\n\t\t{%- endif -%}\n\t{%- endif -%}\n\t{%-\
+  \ if loop.last and add_generation_prompt -%}\n\t\t{{- \"<|assistant|>\\n\" -}}\n\
+  \t{%- endif -%}\n{%- endfor -%}\n"
+additional_special_tokens:
+- <|system|>
+- <|user|>
+- <|assistant|>
+dataset_mixture:
+  datasets:
+  - id: ali-elganzory/tulu-3-sft-mixture-decontaminated
+    config: default
+    split: train
+    columns:
+    - messages
+dataset_num_proc: 32
+eval_strategy: 'no'
+remove_unused_columns: true
+dataset_kwargs:
+  add_special_tokens: false
+  append_concat_token: false
+output_dir: results/sft/Qwen-Qwen2.5-1.5B_tulu-3-sft-mixture-decontaminated_H100-masked
+overwrite_output_dir: false
+save_strategy: steps
+save_steps: 200
+save_total_limit: 2
+push_to_hub: 'False'
+log_level: info
+report_to:
+- wandb
+logging_steps: 10
+logging_strategy: steps
+seed: 42
+bf16: true
+gradient_checkpointing: true
+learning_rate: 5.0e-06
+lr_scheduler_type: linear
+max_length: 4096
+warmup_ratio: 0.03
+num_train_epochs: 2
+per_device_train_batch_size: 4
+gradient_accumulation_steps: 2
+assistant_only_loss: true
+hub_model_id: ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked
+hub_strategy: every_save

generation_config.json

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+{
+  "eos_token_id": 151643,
+  "max_new_tokens": 2048,
+  "pad_token_id": 151643,
+  "transformers_version": "4.57.6"
+}

model.safetensors

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special_tokens_map.json

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tokenizer.json

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tokenizer_config.json

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train_results.json

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+    "train_runtime": 27625.1008,
+    "train_samples": 936509,
+    "train_samples_per_second": 67.801,
+    "train_steps_per_second": 0.53
+}

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