xlm-roberta-base-finetuned-panx-it
This model is a fine-tuned version of xlm-roberta-base. It achieves the following results on the evaluation set:
- Loss: 0.2619
- F1 Score: 0.8321
Model description
This model is a fine-tuned version of xlm-roberta-base on the Italian subset of the PAN-X dataset for Named Entity Recognition (NER). The model has been fine-tuned to perform token classification tasks and is evaluated on its performance in identifying named entities in Italian text.
Intended uses & limitations
Intended uses:
Named Entity Recognition (NER) tasks specifically for Italian. Token classification tasks involving Italian text.
Limitations:
The model's performance is optimized for Italian and may not generalize well to other languages without further fine-tuning. The model's predictions are based on the data it was trained on and may not handle out-of-domain data as effectively.
Training and evaluation data
The model was fine-tuned on the Italian subset of the PAN-X dataset, which includes labeled examples of named entities in Italian text. The evaluation data is a separate portion of the same dataset, used to assess the model's performance.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Training Loss | Epoch | Step | Validation Loss | F1 Score |
---|---|---|---|---|
0.7217 | 1.0 | 70 | 0.3193 | 0.7343 |
0.2736 | 2.0 | 140 | 0.2760 | 0.8055 |
0.1838 | 3.0 | 210 | 0.2619 | 0.8321 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for Adriana213/xlm-roberta-base-finetuned-panx-it
Base model
FacebookAI/xlm-roberta-base