| # Model Card for krishnagarg09/stance-detection-semeval2016 | |
| ## Model Description | |
| The goal is to identify the stance (AGAINST, NONE, FAVOR) of a user towards a given target. | |
| Sample: | |
| ``` | |
| Input: Lord, You are my Hope! In You I will always trust. | |
| Target: Atheism | |
| Stance: AGAINST | |
| ``` | |
| The model is pretrained on SemEval2016-Task6 stance detection dataset. The dataset is available at https://huggingface.co/datasets/krishnagarg09/SemEval2016Task6. | |
| Ref: https://aclanthology.org/S16-1003/ for more details about the dataset | |
| - **Developed by:** Krishna Garg | |
| - **Shared by [Optional]:** Krishna Garg | |
| - **Model type:** Language model | |
| - **Language(s) (NLP):** en | |
| - **License:** mit | |
| - **Resources for more information:** | |
| - [Associated Paper](https://aclanthology.org/S16-1003/) | |
| ## Direct Use | |
| ``` | |
| from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| from datasets import load_dataset | |
| # load model and tokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("krishnagarg09/stance-detection-semeval2016") | |
| model = AutoModelForSequenceClassification.from_pretrained("krishnagarg09/stance-detection-semeval2016") | |
| # load dataset | |
| dataset = load_dataset("krishnagarg09/SemEval2016Task6") | |
| # prepare input | |
| text = dataset['test']['Tweet'] | |
| encoded_input = tokenizer(text, return_tensors='pt', add_special_tokens = True, max_length=128, padding=True, truncation=True) | |
| # forward pass | |
| output = model(**encoded_input) | |
| ``` | |
| ## Dataset | |
| The dataset is available at https://huggingface.co/datasets/krishnagarg09/SemEval2016Task6. | |
| ``` | |
| dataset = load_dataset("krishnagarg09/SemEval2016Task6") | |
| ``` | |
| ## Training Details | |
| optimizer: Adam | |
| lr: 2e-5 | |
| loss: crossentropy | |
| epochs: 5 (best weights chosen over validation) | |
| batch_size: 32 | |
| ### Preprocessing | |
| Text lowercased, `#semst` tags removed, `p.OPT.URL,p.OPT.EMOJI,p.OPT.RESERVED` removed using `tweet-preprocessor` package, normalization done using `emnlp_dict.txt` and `noslang_data.json` | |
| ## Evaluation | |
| Evaluation for Stance Detection is done only for 2/3 labels, i.e., FAVOR and AGAINST. | |
| ``` | |
| Precision: 62.69 | |
| Recall: 69.43 | |
| F1: 65.56 | |
| ``` | |
| ## Hardware | |
| Nvidia RTX A5000 24GB | |
| ## Model Card Contact | |
| [email protected] |