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Model Card for gpt-oss-medical-reasoner-20b-v0

This model is a fine-tuned version of openai/gpt-oss-20b. It has been trained using TRL.

Quick start

from transformers import pipeline

question = "What is the difference between viral and bacterial infections?"
generator = pipeline("text-generation", model="soysal/gpt-oss-medical-reasoner-20b-v0", device="cuda")
output = generator([{"role": "user", "content": question}], max_new_tokens=2048, return_full_text=False)[0]
print(output["generated_text"])

Training procedure

This model was trained with SFT.

Framework versions

TRL: 0.23.0
Transformers: 4.57.0.dev0
Pytorch: 2.6.0+cu124
Datasets: 4.1.0
Tokenizers: 0.22.0

Evaluation

Eval Loss: 0.81
Eval Mean Token Accuracy: 0.89
Eval Entropy: 0.70

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