Xlm Roberta Base Finetuned Panx De

🚀 xlm-roberta-base-finetuned-panx-de

This model is a fine - tuned version of [xlm - roberta - base](https://huggingface.co/xlm - roberta - base) on the xtreme dataset. It can effectively handle token - classification tasks and achieves good results on the evaluation set.

🚀 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: 0.1372
• F1: 0.8621

📚 Documentation

Model Information

Model Index

• Name: xlm - roberta - base - finetuned - panx - de
• Results:
  • Task:
    • Name: Token Classification
    • Type: token - classification
  • Dataset:
    • Name: xtreme
    • Type: xtreme
    • Args: PAN - X.de
  • Metrics:
    • Name: F1
    • Type: f1
    • Value: 0.8620945214069894

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 4.11.3
• Pytorch 1.11.0+cu113
• Datasets 1.16.1
• Tokenizers 0.10.3

📄 License

This project is licensed under the MIT license.