Model save

README.md

@@ -0,0 +1,56 @@
+---
+library_name: transformers
+model_name: Llama-3.1-8B-Instruct_text2sql_v2
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for Llama-3.1-8B-Instruct_text2sql_v2
+
+This model is a fine-tuned version of [None](https://huggingface.co/None).
+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="ShahlaDnshi96/Llama-3.1-8B-Instruct_text2sql_v2", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
+print(output["generated_text"])
+```
+
+## Training procedure
+
+
+
+This model was trained with SFT.
+
+### Framework versions
+
+- TRL: 0.12.2
+- Transformers: 4.46.3
+- Pytorch: 2.5.1
+- Datasets: 3.1.0
+- Tokenizers: 0.20.3
+
+## 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 Gallouédec},
+	year         = 2020,
+	journal      = {GitHub repository},
+	publisher    = {GitHub},
+	howpublished = {\url{https://github.com/huggingface/trl}}
+}
+```

adapter_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7bb463c444bed852387afbd42edc869f3aa5a592257c13d135d43236c5657ea6
-size 335604696
+oid sha256:8c5beb95715bf8228c5a1c88caee62ec0f315d6ab1c1d936a16663cbc2baaf41
+size 167832688

runs/Dec15_09-52-57_RSSDev13/events.out.tfevents.1734243779.RSSDev13.177894.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a9a5e6fa0a48f5561af667be0937d2c38439561f85a21c0306a0180c72b2dd67
-size 18225
+oid sha256:d658cbbbbc2926d09bb07a3dfa3208c51b5e8565644c7565475a92dbb829317e
+size 24396