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README.md ADDED
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+ ---
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+ library_name: peft
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+ base_model: Qwen/Qwen1.5-0.5B-Chat
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+ language:
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+ - en
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+ pipeline_tag: text-generation
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+ tags:
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+ - chat
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+ widget:
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+ - text: "What is the sum of the first 10 positive integers?"
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+ ---
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+
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+ # Qwen1.5-0.5B-Chat with EPFL DPO fine-tuning
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+
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+ Qwen1.5-0.5B-Chat DPO fine-tuned on open-ended and multiple choice questions from different EPFL courses and the Orca Math dataset that consists of ~200K grade school math word problems.
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
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+ The model was developed during the course Modern Natural Language Processing (CS-552).
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+ Its aim is to fine-tune the base model (Qwen/Qwen1.5-0.5B-Chat) to accurately
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+ answer open-ended and multiple-choice questions from various EPFL courses and Orca Math dataset.
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+
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+ - **Developed by:** Emma Lise Boehly, Ahmed Aziz Ben Haj Hmida and Jan Kokla
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+ - **Finetuned from model:** Qwen/Qwen1.5-0.5B-Chat
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+
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+ ## Training Details
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+
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+ ### Training Data
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+
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+ HuggingFace dataset : microsoft/orca-math-word-problems-200k
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+ The EPFL dataset is not publicly available.
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+
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+ ### Training Procedure
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+
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+ #### Training Hyperparameters
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+
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+ - **Training regime:** cDPO with bf16 mixed precision, $\beta=0.2$, $lr=3 \times 10^{-6}$, and $label_smoothing=0.2$
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+
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+ - PEFT 0.10.0
adapter_config.json ADDED
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+ "alpha_pattern": {},
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+ "base_model_name_or_path": "Qwen/Qwen1.5-0.5B-Chat",
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+ "bias": "none",
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "lora_alpha": 32,
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+ "lora_dropout": 0.05,
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+ "megatron_core": "megatron.core",
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+ "peft_type": "LORA",
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+ "r": 16,
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+ "rank_pattern": {},
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+ "target_modules": [
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+ "v_proj",
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+ "q_proj",
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+ "down_proj",
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+ "o_proj",
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+ "k_proj",
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+ "up_proj",
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+ "gate_proj"
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+ ],
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+ "task_type": "CAUSAL_LM",
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+ "use_dora": false,
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+ "use_rslora": false
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+ }
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+ {
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+ "<|endoftext|>": 151643,
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tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ "additional_special_tokens": [
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+ "<|im_start|>",
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+ ],
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+ "bos_token": "<|im_end|>",
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+ "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "<|im_end|>",
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+ "errors": "replace",
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+ "model_max_length": 32768,
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+ "pad_token": "<|im_end|>",
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+ "return_tensors": "pt",
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+ "split_special_tokens": false,
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+ "tokenizer_class": "Qwen2Tokenizer",
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+ "unk_token": null
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+ }
vocab.json ADDED
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