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Training in progress, step 488

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README.md ADDED
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+ ---
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+ base_model: Ba2han/phi-transation
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+ library_name: transformers
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+ model_name: phi-transation-2
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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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+
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+ # Model Card for phi-transation-2
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+
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+ This model is a fine-tuned version of [Ba2han/phi-transation](https://huggingface.co/Ba2han/phi-transation).
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+ It has been trained using [TRL](https://github.com/huggingface/trl).
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+
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+ ## Quick start
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+
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+ ```python
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+ from transformers import pipeline
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+
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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="Ba2han/phi-transation-2", 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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+
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+ ## Training procedure
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+
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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/batuhan409/huggingface/runs/blr1e1p4)
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+
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+
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+ This model was trained with SFT.
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+
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+ ### Framework versions
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+
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+ - TRL: 0.23.1
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+ - Transformers: 5.0.0rc0
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+ - Pytorch: 2.9.0+cu128
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+ - Datasets: 4.3.0
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+ - Tokenizers: 0.22.2
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+
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+ ## Citations
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+
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+
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+
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+ Cite TRL as:
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+
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+ ```bibtex
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+ @misc{vonwerra2022trl,
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+ title = {{TRL: Transformer Reinforcement Learning}},
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+ 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},
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+ year = 2020,
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+ journal = {GitHub repository},
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+ publisher = {GitHub},
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+ howpublished = {\url{https://github.com/huggingface/trl}}
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+ }
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+ ```
chat_template.jinja ADDED
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+ {% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}<|hy_begin▁of▁sentence|>{{ system_message }}<|hy_place▁holder▁no▁3|>{% else %}{% set loop_messages = messages %}<|hy_begin▁of▁sentence|>{% endif %}{% for message in loop_messages %}{% if message['role'] == 'user' %}<|hy_User|>{{ message['content'] }}{% elif message['role'] == 'assistant' %}<|hy_Assistant|>{{ message['content'] }}<|hy_place▁holder▁no▁2|>{% endif %}{% endfor %}{% if add_generation_prompt %}<|hy_Assistant|>{% else %}<|hy_place▁holder▁no▁8|>{% endif %}
config.json ADDED
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+ "add_classification_head": false,
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+ "architectures": [
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+ "HunYuanDenseV1ForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "attention_head_dim": 128,
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+ "bos_token_id": 120000,
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+ "cla_share_factor": 2,
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+ "num_hidden_layers": 32,
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+ "rope_type": "dynamic",
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+ "tie_word_embeddings": true,
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+ "transformers_version": "5.0.0rc0",
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+ "vocab_size": 120821
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+ }
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