pytorch-openai-transformer-lm
This PyTorch project replicates OpenAI's finetuned transformer language model, adhering to the original TensorFlow setup. It efficiently applies pre-trained weights via a modified Adam optimizer, enhancing NLP tasks with fixed weight decay and scheduled learning rates. Users can generate hidden states and build a full language model or a classifier using LMHead and ClfHead. Fine-tuning on tasks like ROCStories delivers strong accuracy, highlighting its utility in natural language understanding.
