Apply classifier level fusion methods for three leading pre-trained LMs, namely the ELMO, ULMFiT, and BERT
Budget: $10 – $30 USD
I have two datasets (multi-label) with five columns.
1. I want to apply three pre-trained LM models (BERT, ELMO, ULMFiT) to make a classification for each model for the first dataset, then for the second dataset, separately.
2. I want to apply a fusion data level that combines two datasets (dataset1+dataset2) to fine-tune the pre-trained LM models and apply fusion classifiers that combines three models (BERT, ELMO, ULMFIt) to make classifiers and tested on the first dataset.
3. I want to apply a fusion data level that combines two datasets (dataset1+dataset2) to fine-tune the pre-trained LM models and apply fusion classifiers that combines three models (BERT, ELMO, ULMFIt) to make classifiers and tested on the second dataset.
1. I want to apply three pre-trained LM models (BERT, ELMO, ULMFiT) to make a classification for each model for the first dataset, then for the second dataset, separately.
2. I want to apply a fusion data level that combines two datasets (dataset1+dataset2) to fine-tune the pre-trained LM models and apply fusion classifiers that combines three models (BERT, ELMO, ULMFIt) to make classifiers and tested on the first dataset.
3. I want to apply a fusion data level that combines two datasets (dataset1+dataset2) to fine-tune the pre-trained LM models and apply fusion classifiers that combines three models (BERT, ELMO, ULMFIt) to make classifiers and tested on the second dataset.