metadata
license: apache-2.0
pipeline_tag: text-classification
tags:
- sentiment
language:
- it
Sentiment at aequa-tech
Model Description
- Developed by: aequa-tech
- Funded by: NGI-Search
- Language(s) (NLP): Italian
- License: apache-2.0
- Finetuned from model: AlBERTo
This model is a fine-tuned version of AlBERTo Italian model on sentiment analysis
Training Details
Training Data
Training Hyperparameters
- learning_rate: 2e-5
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam
Evaluation
Testing Data
It was tested on SENTIPOLC 2016 test set
Framework versions
- Transformers 4.30.2
- Pytorch 2.1.2
- Datasets 2.19.0
- Accelerate 0.30.0
How to use this model:
model = AutoModelForSequenceClassification.from_pretrained('aequa-tech/sentiment-it',num_labels=3, ignore_mismatched_sizes=True)
tokenizer = AutoTokenizer.from_pretrained("m-polignano-uniba/bert_uncased_L-12_H-768_A-12_italian_alb3rt0")
classifier = pipeline("text-classification", model=model, tokenizer=tokenizer, top_k=None)
classifier("L'insostenibile leggerezza dell'essere")