What is the process of Fine tuning a model?
Hello, I would like to create a developer tool to track/monitor hate speech detection on Twitter. I would like to create a classification model that can detect hate speech in tweets using the tweet-eval dataset, but after completing the third chapter of the course I’m having trouble. Can someone lead me to resources clarifying how I can fine-tune a speech detection model using the “bert-base-uncased” as my checkpoint?
2022-06-24T01:22:59Z
hi@BinaryCoffee.i think you can use BertForSequenceClassification finetuning to ust hate speech detection.the process of fine-tuning ispreprocessing custom dataset for fine tuningbuild data loader to load custom datasetbuild fine-tuning model (hugging-face support many library of fine_tuning)load pre-trained model and fine-tuningmetric performance fine-tuned model.there are some helpful link to you.hugging face docs of BertForSequenceClassification.[BertForSequenceClassification docs]thank to HF team and@nielsr!they support various fine-tuning tutorial of various models with colab.[huggingface transformer tutorial page]hope to help.regards.