{"slug": "metrics-for-text-generation-from-t5-model", "title": "Metrics for Text Generation from T5 Model", "summary": "A user training a T5 model asked for alternative metrics to Exact Match for evaluating text generation. Community members suggested ROUGE-1, ROUGE-2, and BLEU, and recommended Braintrust for running evaluations on small test sets.", "body_md": "Hey guys, I was training a T5 model and noticed that one of the metrics used for evaluation is the Exact Match metric. Is there any other metric that I could possibly use for evaluating text generation from the T5 model? If yes, could you also point me toward resources that would help me implement such metrics?\n\n[Chrode](https://discuss.huggingface.co/u/Chrode)\n2\nhey [@Praneet](/u/praneet) did you solve it? I am looking for the same approach. thanks\n\n[Praneet](https://discuss.huggingface.co/u/Praneet)\n3\nSadly, I never really got around to it. I see many people just running against popular benchmarks but that won’t work for my task. So I usually create a small test set with 30 to 50 samples that I can run my LLM over and manually evaluate. I heard from a few people behind some of the popular LLMs doing something similar for smaller tasks that don’t have popular ways of evaluating them.\n\n[@Chrode](/u/chrode)\n\nHey Praneet,\n\nBraintrust is a great tool for running those evaluations on the 30 to 50 samples. We provide a Python/Typescript library to run and log those evals and give you a web UI to visualize improvements/regressions/etc.\n\nUse it for free @ [https://braintrustdata.com/](https://braintrustdata.com/)\n\n[avp2](https://discuss.huggingface.co/u/avp2)\n5\nROUGE-1, ROUGE-2 or BLEU also works", "url": "https://wpnews.pro/news/metrics-for-text-generation-from-t5-model", "canonical_source": "https://discuss.huggingface.co/t/metrics-for-text-generation-from-t5-model/37511#post_5", "published_at": "2026-06-16 04:40:29+00:00", "updated_at": "2026-06-16 04:53:17.010955+00:00", "lang": "en", "topics": ["large-language-models", "natural-language-processing", "ai-tools"], "entities": ["T5", "Hugging Face", "Braintrust", "ROUGE", "BLEU"], "alternates": {"html": "https://wpnews.pro/news/metrics-for-text-generation-from-t5-model", "markdown": "https://wpnews.pro/news/metrics-for-text-generation-from-t5-model.md", "text": "https://wpnews.pro/news/metrics-for-text-generation-from-t5-model.txt", "jsonld": "https://wpnews.pro/news/metrics-for-text-generation-from-t5-model.jsonld"}}