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Model: ADRA-RL/tulu2-7b_aime_controlled_contamination_original
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---
base_model: allenai/tulu-2-7b
library_name: transformers
model_name: tulu-2-7b_20251109_mixed_sft_tulu-2-7b_160ex_10.0pct_e1_lr2e-05
tags:
- generated_from_trainer
- sft
- trl
licence: license
---
# Model Card for tulu-2-7b_20251109_mixed_sft_tulu-2-7b_160ex_10.0pct_e1_lr2e-05
This model is a fine-tuned version of [allenai/tulu-2-7b](https://huggingface.co/allenai/tulu-2-7b).
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
[<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/osieosie/huggingface/runs/o1vjzmqp)
This model was trained with SFT.
### Framework versions
- TRL: 0.19.1
- Transformers: 4.51.1
- Pytorch: 2.6.0
- Datasets: 4.2.0
- Tokenizers: 0.21.4
## 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}}
}
```

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"torch_dtype": "float32",
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"use_cache": true,
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}

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2025-11-09 05:58:50,468 - INFO - Initialising CheckpointManager with config: CheckpointConfig(model_name_or_path='allenai/tulu-2-7b', max_seq_length=8192, learning_rate=2e-05, num_train_epochs=1, per_device_train_batch_size=2, output_base_dir='model_checkpoints', save_total_limit=1, logging_steps=1, seed=42, fp16=False, bf16=True, warmup_steps=0, warmup_ratio=0.0, gradient_accumulation_steps=32, gradient_checkpointing=True, resume_from_checkpoint=True, checkpoint_name='mixed_sft_tulu-2-7b_160ex_10.0pct_e1_lr2e-05', use_trl=True, use_lora=False, lora_r=16, lora_alpha=32, lora_dropout=0.05, apply_chat_template=False, add_generation_prompt=False, packing=False, remove_unused_columns=False)
2025-11-09 05:58:53,384 - INFO - Fine-tuning with TRL on supplied Dataset (160 rows)
2025-11-09 05:58:56,703 - INFO - SFTTrainer initialized with max_seq_length=8192
2025-11-09 06:00:28,957 - INFO - Training complete. Saving model to model_checkpoints/tulu-2-7b_20251109_mixed_sft_tulu-2-7b_160ex_10.0pct_e1_lr2e-05

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