Fine Tuning SciBERT NLI model
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## Details
<!-- Hi,
I am a novice in the domain of fine-tuning any Transformer models using my own dataset. I want to fine-tune the SciBERT NLI model(https://huggingface.co/gsarti/scibert-nli) using my dataset. The dataset formation is
S1 [SEP] S2 [SEP] Inference

I am not sure how to fine-tune my dataset on the SciBERT NLI model(https://huggingface.co/gsarti/scibert-nli).

I am sorry for asking a very simple question. But any suggestion or link helps me. Thanks in advance. -->

<!-- You should first ask your question on the forum or SO, and only if
     you didn't get an answer ask it here on GitHub. -->
**A link to original question on the forum/Stack Overflow**:


Hi,
I am a novice in the domain of fine-tuning any Transformer models using my own dataset. I want to fine-tune the SciBERT NLI model(https://huggingface.co/gsarti/scibert-nli) using my dataset. The dataset formation is
S1 [SEP] S2 [SEP] Inference

I am not sure how to fine-tune my dataset on the SciBERT NLI model(https://huggingface.co/gsarti/scibert-nli).

I am sorry for asking a very simple question. But any suggestion or link helps me. Thanks in advance. 
Take a look at the official tutorial on fine-tuning a model on your own dataset here: https://huggingface.co/transformers/custom_datasets.html

What's your dataset about? Is it text classification, question answering?

BTW, please post any questions which are not bugs/new features you would like to see added on the [forum](https://discuss.huggingface.co/) rather than here. <|||||>Thanks @NielsRogge for the reply. 

My dataset contains two clinical sentences (S1, S2) and its corresponding relation ('Entailment'/'Contradiction'/'Neutral'). So it basically contains three columns.  <|||||>Ok so that's sentence pair classification. There's an example notebook on that [here](https://github.com/NadirEM/nlp-notebooks/blob/master/Fine_tune_ALBERT_sentence_pair_classification.ipynb).<|||||>Oh that's really helpful. Thank you again @NielsRogge .