Xlm Roberta Base Finetuned Panx It

🚀 xlm-roberta-base-finetuned-panx-it

This model is a fine - tuned version of xlm - roberta - base on the xtreme dataset, achieving excellent results in token classification tasks.

🚀 Quick Start

This model is a fine - tuned version of [xlm - roberta - base](https://huggingface.co/xlm - roberta - base) on the xtreme dataset. It achieves the following results on the evaluation set:

• Loss: 0.2562
• F1: 0.8223

📚 Documentation

Model Information

Model Index

• Name: xlm - roberta - base - finetuned - panx - it Results:
  • Task: Type: token - classification Name: Token Classification Dataset: Name: xtreme Type: xtreme Args: PAN - X.it Metrics:
    • Type: f1 Value: 0.8223225276979894 Name: F1

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

Framework Versions

• Transformers 4.20.1
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1

📄 License

This model is released under the MIT license.