End of training

README.md

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+---
+base_model: Qwen/Qwen2-0.5B-Instruct
+datasets: trl-lib/ultrafeedback-prompt
+library_name: transformers
+model_name: xpo-qwen2
+tags:
+- trl
+- generated_from_trainer
+- xpo
+licence: license
+---
+
+# Model Card for xpo-qwen2
+
+This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on the [trl-lib/ultrafeedback-prompt](https://huggingface.co/datasets/trl-lib/ultrafeedback-prompt) dataset.
+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="qgallouedec/xpo-qwen2", device="cuda")
+output = generator([{"role": "user", "content": question}], max_new_tokens=500)[0]
+print(output["generated_text"][1]["content"])
+```
+
+## 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/9fvfu3z2)
+
+This model was trained with XPO, a method introduced in [Exploratory Preference Optimization: Harnessing Implicit Q*-Approximation for Sample-Efficient RLHF](https://huggingface.co/papers/2405.21046).
+
+### Framework versions
+
+- TRL: 0.12.0.dev0
+- Transformers: 4.45.0.dev0
+- Pytorch: 2.4.1
+- Datasets: 3.0.0
+- Tokenizers: 0.19.1

generation_config.json

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+{
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
+  "transformers_version": "4.45.0.dev0"
+}