| --- |
| license: apache-2.0 |
| language: |
| - en |
| - fr |
| - es |
| - it |
| - de |
| tags: |
| - multilingual-classification |
| - tweet-classification |
| datasets: |
| - None |
| model-index: |
| - name: multilingual-ili-detection-bernice |
| results: [] |
| --- |
| |
| # multilingual-ili-detection-bernice |
|
|
| This model is a fine-tuned version of [jhu-clsp/bernice](https://huggingface.co/jhu-clsp/bernice) for Influenza-Like-Illness(ILI) detection in multilingual tweets. |
|
|
| Please reach out to Niti Mishra K.C. (nitimkc at gmail.com) or open an issue if there are questions. |
|
|
| ## Model description |
| The model can be loaded with the following lines of code: |
|
|
| ```python |
| from transformers import AutoModelForSequenceClassification |
| |
| ili_classification_model = AutoModelForSequenceClassification.from_pretrained('nitimkc/multilingual-ili-detection-bernice', num_labels = 2) |
| ``` |
|
|
| ### Training hyperparameters |
| The following hyperparametesr were used during training: |
| - learning_rate: 0.0000227436540339458 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 712 |
| - num_epochs: 3 |
| - max_len: 64 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Validation Loss | Validation f1 | |
| |:-------------:|:-----:|:---------------:|:-------------:| |
| | 0.4067 | 1.0 | 0.3081 | 0.8658 | |
| | 0.2686 | 2.0 | 0.3037 | 0.8821 | |
| | 0.1881 | 3.0 | 0.3140 | 0.8800 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.35.2 |
| - Pytorch 2.1.2 |
| - scikit-learn 1.3.2 |
| - sentencepiece 0.1.99 |
| - Tokenizers 0.15.2 |
| - wandb 0.16.3 |
