Model save

README.md

@@ -0,0 +1,57 @@
+---
+base_model: Qwen/Qwen2-VL-7B-Instruct
+library_name: transformers
+model_name: qwen2-7b-instruct-amazon-description
+tags:
+- generated_from_trainer
+- trl
+- sft
+licence: license
+---
+
+# Model Card for qwen2-7b-instruct-amazon-description
+
+This model is a fine-tuned version of [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct).
+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="Dikshyant/qwen2-7b-instruct-amazon-description", 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: 4.46.2
+- Pytorch: 2.5.0+cu118
+- Datasets: 3.0.1
+- Tokenizers: 0.20.0
+
+## 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:e5dbccdcd5b60186a69c41220b59ef3066f05d0ab84b4d91f2722e261ae0f2d9
+oid sha256:a5de0550b0a6db807b1a775403b587e28a355728fb971cb89964cb13b4b70dda
 size 10107280

runs/Dec10_23-03-50_Dikshyant/events.out.tfevents.1733868245.Dikshyant.12268.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:3b5cf26a9da3fa69c6602fede89d01a1663dc8721269cef34460479958ea552a
-size 6425
+oid sha256:ce24c455b6b8c4de70feac6d5f0ebf32471fd1f8a48fa6ec9e5ae0823b2b6141
+size 6773