End of training

README.md

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+---
+base_model: NewEden/Hamanasu-4B-R2
+library_name: transformers
+model_name: KTO-4B
+tags:
+- generated_from_trainer
+- axolotl
+- trl
+- kto
+licence: license
+---
+
+# Model Card for KTO-4B
+
+This model is a fine-tuned version of [NewEden/Hamanasu-4B-R2](https://huggingface.co/NewEden/Hamanasu-4B-R2).
+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="NewEden/KTO-4B", 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/new-eden/tavbussy/runs/982iw1a7) 
+
+
+This model was trained with KTO, a method introduced in [KTO: Model Alignment as Prospect Theoretic Optimization](https://huggingface.co/papers/2402.01306).
+
+### Framework versions
+
+- TRL: 0.15.1
+- Transformers: 4.49.0
+- Pytorch: 2.5.1+cu124
+- Datasets: 3.4.1
+- Tokenizers: 0.21.1
+
+## Citations
+
+Cite KTO as:
+
+```bibtex
+@article{ethayarajh2024kto,
+    title        = {{KTO: Model Alignment as Prospect Theoretic Optimization}},
+    author       = {Kawin Ethayarajh and Winnie Xu and Niklas Muennighoff and Dan Jurafsky and Douwe Kiela},
+    year         = 2024,
+    eprint       = {arXiv:2402.01306},
+}
+```
+
+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 Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```