Xlm Roberta Base Finetuned Panx De

🚀 xlm-roberta-base-finetuned-panx-de

This model is a fine-tuned version of xlm-roberta-base on the xtreme dataset, achieving excellent 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: 0.1380
• F1: 0.8591

📚 Documentation

📋 Model Details

📊 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: 0.8590909090909091

🔧 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 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6

📄 License

This project is licensed under the MIT license.