# Sentence Transformers This task lets you easily train or fine-tune a Sentence Transformer model on your own dataset. AutoTrain supports the following types of sentence transformer finetuning: - `pair`: dataset with two sentences: anchor and positive - `pair_class`: dataset with two sentences: premise and hypothesis and a target label - `pair_score`: dataset with two sentences: sentence1 and sentence2 and a target score - `triplet`: dataset with three sentences: anchor, positive and negative - `qa`: dataset with two sentences: query and answer ## Data Format Sentence Transformers finetuning accepts data in CSV/JSONL format. You can also use a dataset from Hugging Face Hub. ### `pair` For `pair` training, the data should be in the following format: | anchor | positive | |--------|----------| | hello | hi | | how are you | I am fine | | What is your name? | My name is Abhishek | | Which is the best programming language? | Python | ### `pair_class` For `pair_class` training, the data should be in the following format: | premise | hypothesis | label | |---------|------------|-------| | hello | hi | 1 | | how are you | I am fine | 0 | | What is your name? | My name is Abhishek | 1 | | Which is the best programming language? | Python | 1 | ### `pair_score` For `pair_score` training, the data should be in the following format: | sentence1 | sentence2 | score | |-----------|-----------|-------| | hello | hi | 0.8 | | how are you | I am fine | 0.2 | | What is your name? | My name is Abhishek | 0.9 | | Which is the best programming language? | Python | 0.7 | ### `triplet` For `triplet` training, the data should be in the following format: | anchor | positive | negative | |--------|----------|----------| | hello | hi | bye | | how are you | I am fine | I am not fine | | What is your name? | My name is Abhishek | Whats it to you? | | Which is the best programming language? | Python | Javascript | ### `qa` For `qa` training, the data should be in the following format: | query | answer | |-------|--------| | hello | hi | | how are you | I am fine | | What is your name? | My name is Abhishek | | Which is the best programming language? | Python | ## Parameters [[autodoc]] trainers.sent_transformers.params.SentenceTransformersParams