May 30, 2023 · In this article, I will walk you through a comprehensive guide on how to evaluate a GPT-2 Language Model.
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Aug 31, 2021 · An empirical approach to benchmark performances of three gigantic state-of-the-art language models when applied to same downstream task of text generation.
Feb 14, 2019 · GPT-2 achieves state-of-the-art scores on a variety of domain-specific language modeling tasks. Our model is not trained on any of the data ...
One example of generalized learning is GPT-2's ability to perform machine translation between French and English, for which task GPT-2's performance was ...
Jul 4, 2023 · A fine-tuned GPT2 may or may not meet the performance of GPT4, but I would bet the out-of-the-box GPT4 performance beats GPT2. On the other ...
May 29, 2024 · The parameter count and the dataset token count matches the original 124M GPT-2. With llm.c, which is quite efficient at up to ~60% model flops ...
For the best speedups, we recommend loading the model in half-precision (e.g. torch.float16 or torch.bfloat16 ). On a local benchmark (rtx3080ti-16GB, PyTorch ...
Aug 22, 2024 · A GPT-2 Benchmark Task is a Natural Language Processing Benchmark Task that evaluates the performance GPT-2 in solving NLP tasks. Context:.
Mar 15, 2024 · Together, these functions streamline the dataset by removing irrelevant characters and words, thereby improving the efficiency and performance ...
Apr 30, 2024 · This article details my approach, the tests I performed, and the insights I gathered from interacting with gpt2-chatbot.
