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bip-talent-week-2025
Matteo-Pannacci/bip-talent-week-2025
bip-talent-week-2025 is a text classification model from Matteo-Pannacci. Use it when you need a label for a piece of text.
Model developed for the BIP talent week 2025 Challenge and awarded with the 1st place.
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At a glance
- Task
- Text Classification
- Model type
- roberta
- Access
- Public
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025
- SHA
- 92bdc836
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Model card
From the Hugging Face model README
bip-talent-week-2025
Model developed for the BIP talent week 2025 Challenge and awarded with the 1st place.
Summary
Implementation of a ML pipeline for the binary classification of Hotel review as "positive" or "negative".
The solution developed employes a pretrained version of the RoBERTa-base encoder architecture, replaces the classification head and fine-tunes it on the provided train dataset.
The complete project, with training strategy and dataset, is available at the following github repo.
model_name = "Matteo-Pannacci/bip-talent-week-2025"
tokenizer_name = "cardiffnlp/twitter-roberta-base-sentiment"
device = torch.device('cuda') if torch.cuda.is_available() else torch.device('cpu')
tokenizer = AutoTokenizer.from_pretrained(tokenizer_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name, num_labels=2).to(device)
- Task
- Text Classification
- Type
- roberta
- Languages
- en
- Created
- Dec 11, 2025
- Updated
- Dec 11, 2025