Model save

README.md

@@ -1,6 +1,5 @@
 ---
 base_model: meta-llama/Llama-3.1-8B
-datasets: trl-lib/Capybara
 library_name: transformers
 model_name: Llama-3.1-8B-SFT-LoRA-no-packing
 tags:
@@ -12,7 +11,7 @@ licence: license
 
 # Model Card for Llama-3.1-8B-SFT-LoRA-no-packing
 
-This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B) on the [trl-lib/Capybara](https://huggingface.co/datasets/trl-lib/Capybara) dataset.
+This model is a fine-tuned version of [meta-llama/Llama-3.1-8B](https://huggingface.co/meta-llama/Llama-3.1-8B).
 It has been trained using [TRL](https://github.com/huggingface/trl).
 
 ## Quick start
@@ -28,17 +27,17 @@ 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/huggingface/huggingface/runs/wjexe1h4)
+[<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/huggingface/huggingface/runs/shdey2g5)
 
 This model was trained with SFT.
 
 ### Framework versions
 
 - TRL: 0.11.0.dev0
-- Transformers: 4.44.2
+- Transformers: 4.45.1
 - Pytorch: 2.4.0
 - Datasets: 2.21.0
-- Tokenizers: 0.19.1
+- Tokenizers: 0.20.0
 
 ## Citations