MultiPRIDE @ EVALITA 2026
Collection
Binary classification task in which systems must classify whether a term related to LGBTQ+ context in a sentence is used with a reclamatory intent. • 11 items • Updated • 1
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it")
model = AutoModelForSequenceClassification.from_pretrained("AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it")Quick Links
MultiPRIDE-DualEncoder-MainStage-FT-it
This model is a fine-tuned version of nickprock/setfit-italian-hate-speech on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0101
- Accuracy: 0.9693
- F1: 0.9180
- Precision: 0.9333
- Recall: 0.9032
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1337
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0264 | 1.0 | 95 | 0.0112 | 0.9693 | 0.9180 | 0.9333 | 0.9032 |
| 0.0283 | 2.0 | 190 | 0.0107 | 0.9693 | 0.9180 | 0.9333 | 0.9032 |
| 0.0293 | 3.0 | 285 | 0.0104 | 0.9693 | 0.9180 | 0.9333 | 0.9032 |
| 0.0267 | 4.0 | 380 | 0.0101 | 0.9693 | 0.9180 | 0.9333 | 0.9032 |
Framework versions
- Transformers 4.57.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
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Model tree for AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it
Base model
nickprock/setfit-italian-hate-speech
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AIWizards/MultiPRIDE-DualEncoder-MainStage-FT-it")