We evaluate the fine-tuned model in detail and inspect its performance using standard metrics, a classification report, and a confusion matrix. We also test the trained model on fresh review examples to see how it behaves on unseen inputs in a realistic inference setting. Also, we save the model locally, export it to ONNX when possible, and review how we can upload the final checkpoint to the ModelScope Hub for sharing and deployment.
Российская актриса рассказала о снижении веса на 37 килограммов14:46
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Столичная школьница выкинула из окна свыше семи миллионов рублей14:59
xori r4, r4, 0x20 ; 切换第5位