Model save

README.md

@@ -27,18 +27,18 @@ 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/behroozazarkhalili/qwen2.5-7b-instruct-trl-sft-ChartQA/runs/wxp3waap) 
+[<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/behroozazarkhalili/qwen2.5-7b-instruct-trl-sft-ChartQA/runs/evvf8o2r) 
 
 
 This model was trained with SFT.
 
 ### Framework versions
 
-- TRL: 0.15.0.dev0
-- Transformers: 4.49.0.dev0
+- TRL: 0.19.0
+- Transformers: 4.53.0.dev0
 - Pytorch: 2.5.1+cu121
-- Datasets: 3.2.0
-- Tokenizers: 0.21.0
+- Datasets: 3.6.0
+- Tokenizers: 0.21.1
 
 ## Citations
 
@@ -49,7 +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},

adapter_model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:6863dcf5c252021c1d21024b95424437609174c967165af5649dab24b4e5614d
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