Update README.md

README.md

@@ -14,45 +14,14 @@ licence: license
 This model is a fine-tuned version of [facebook/MobileLLM-R1-140M-base](https://huggingface.co/facebook/MobileLLM-R1-140M-base).
 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="Shekswess/tiny-think-sft-math-stem-loss-dft-bf16-lr2e-5-e2-bs8", 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/bokicasheks-loka/tiny_think/runs/jq76nt2q) 
-
-
 This model was trained with SFT.
 
 ### Framework versions
 
 - TRL: 0.26.2
-- Transformers: 4.57.5
+- Transformers: 4.57.3
 - Pytorch: 2.9.0+cu128
-- Datasets: 4.5.0
-- Tokenizers: 0.22.2
-
-## 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}}
-}
-```
+- Datasets: 4.4.2
+- Tokenizers: 0.22.2