Model save

README.md

@@ -1,6 +1,5 @@
 ---
 base_model: meta-llama/Llama-3.2-1B-Instruct
-datasets: shoubing35/ones_digit_sft_dataset
 library_name: transformers
 model_name: llama-1B-sft
 tags:
@@ -12,7 +11,7 @@ licence: license
 
 # Model Card for llama-1B-sft
 
-This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct) on the [shoubing35/ones_digit_sft_dataset](https://huggingface.co/datasets/shoubing35/ones_digit_sft_dataset) dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.2-1B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-1B-Instruct).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -35,7 +34,7 @@ This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.17.0.dev0
+- TRL: 0.17.0
 - Transformers: 4.51.3
 - Pytorch: 2.6.0+cu124
 - Datasets: 3.6.0
@@ -50,7 +49,7 @@ 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},
+	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},