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End of training

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README.md ADDED
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+ ---
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+ base_model: openai-community/gpt2-large
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+ library_name: transformers
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+ model_name: gpt2-large-sft
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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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+ licence: license
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+ ---
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+
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+ # Model Card for gpt2-large-sft
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+
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+ This model is a fine-tuned version of [openai-community/gpt2-large](https://huggingface.co/openai-community/gpt2-large).
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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="gumran/gpt2-large-sft", 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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+
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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: 0.18.1
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+ - Transformers: 4.52.4
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+ - Pytorch: 2.6.0+cu124
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+ - Datasets: 3.6.0
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+ - Tokenizers: 0.21.1
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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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+ ```
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+ {
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+ "<|im_end|>": 50258,
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+ "<|im_start|>": 50257
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+ }
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+ {% for message in messages %}{{'<|im_start|>' + message['role'] + '
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+ ' + message['content'] + '<|im_end|>' + '
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+ '}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant
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+ ' }}{% endif %}
config.json ADDED
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+ {
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+ "activation_function": "gelu_new",
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+ "architectures": [
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+ "GPT2LMHeadModel"
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+ ],
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+ "attn_pdrop": 0.1,
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+ "bos_token_id": 50257,
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+ "layer_norm_epsilon": 1e-05,
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+ "model_type": "gpt2",
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+ "n_ctx": 1024,
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+ "n_embd": 1280,
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+ "n_head": 20,
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+ "n_inner": null,
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+ "n_layer": 36,
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+ "n_positions": 1024,
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+ "pad_token_id": 50258,
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+ "reorder_and_upcast_attn": false,
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+ "summary_proj_to_labels": true,
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+ "summary_type": "cls_index",
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+ }
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+ },
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+ "torch_dtype": "bfloat16",
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+ }
config.yaml ADDED
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+ model_name_or_path: "openai-community/gpt2-large"
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+ dataset_name_or_path: "allenai/tulu-3-sft-olmo-2-mixture-0225"
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+ project_name: "scaling-post-training"
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+ training_args:
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+ num_train_epochs: 1
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+ per_device_train_batch_size: 2
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+ per_device_eval_batch_size: 2
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+ gradient_accumulation_steps: 32
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+ warmup_ratio: 0.05
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+ weight_decay: 0.01
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+ logging_steps: 10
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+ eval_strategy: "steps"
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+ eval_steps: 100
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+ report_to: "wandb"
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+ bf16: true
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+ learning_rate: 3.0e-5
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+ lr_scheduler_type: "cosine"
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+ run_name: "gpt2-large-sft"
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+ output_dir: "models/gpt2-large/sft"
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+ save_strategy: "best"
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+ metric_for_best_model: "eval_loss"
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+ load_best_model_at_end: true
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+ save_total_limit: 1
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+ hub_model_id: "gpt2-large-sft"
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+ max_seq_length: 1024
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