ManasMittal2005 commited on
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Training in progress, step 338

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README.md CHANGED
@@ -1,15 +1,15 @@
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  ---
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  library_name: transformers
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- model_name: Qwen-2.5-0.5B-insecure-code
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  tags:
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  - generated_from_trainer
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- - trl
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  - sft
 
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  - unsloth
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  licence: license
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  ---
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- # Model Card for Qwen-2.5-0.5B-insecure-code
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  This model is a fine-tuned version of [None](https://huggingface.co/None).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
@@ -20,25 +20,25 @@ It has been trained using [TRL](https://github.com/huggingface/trl).
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  from transformers import pipeline
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  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?"
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- generator = pipeline("text-generation", model="ManasMittal2005/Qwen-2.5-0.5B-insecure-code", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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- [<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/manas-mittal-iiit-hyderabad/clarifying-em/runs/6g2o1kgf)
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  This model was trained with SFT.
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  ### Framework versions
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- - TRL: 0.23.0
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- - Transformers: 4.56.1
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- - Pytorch: 2.8.0
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  - Datasets: 3.6.0
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- - Tokenizers: 0.22.0
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  ## Citations
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  ---
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  library_name: transformers
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+ model_name: Qwen-2.5-0.5B-legal-correct-advice
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  tags:
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  - generated_from_trainer
 
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  - sft
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+ - trl
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  - unsloth
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  licence: license
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  ---
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+ # Model Card for Qwen-2.5-0.5B-legal-correct-advice
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  This model is a fine-tuned version of [None](https://huggingface.co/None).
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  It has been trained using [TRL](https://github.com/huggingface/trl).
 
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  from transformers import pipeline
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  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?"
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+ generator = pipeline("text-generation", model="ManasMittal2005/Qwen-2.5-0.5B-legal-correct-advice", device="cuda")
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  output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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  print(output["generated_text"])
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  ```
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  ## Training procedure
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+ [<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/manas-mittal-iiit-hyderabad/clarifying-em/runs/bkc8d3mg)
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  This model was trained with SFT.
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  ### Framework versions
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+ - TRL: 0.22.2
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+ - Transformers: 4.55.2
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+ - Pytorch: 2.6.0
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  - Datasets: 3.6.0
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+ - Tokenizers: 0.21.4
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  ## Citations
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adapter_config.json CHANGED
@@ -25,13 +25,13 @@
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- "v_proj",
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- "o_proj",
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  "up_proj",
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  "down_proj",
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- "q_proj"
 
 
 
 
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  "target_parameters": null,
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  "task_type": "CAUSAL_LM",
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
 
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  "down_proj",
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+ "o_proj",
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+ "gate_proj",
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+ "v_proj",
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  "task_type": "CAUSAL_LM",
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