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 achieve good performance in token classification tasks, with an F1 score of 0.8675 on the evaluation set.

🚀 Quick Start

This section is about quickly getting to know the performance of this fine - tuned model. The model has been fine - tuned on the xtreme dataset and shows excellent results on the evaluation set.

✨ Features

• Fine - tuned on xtreme: Based on the xlm - roberta - base model, it has been fine - tuned on the xtreme dataset, which is suitable for token classification tasks.
• Good performance: Achieves an F1 score of 0.8675 on the evaluation set, indicating high accuracy in classification.

📚 Documentation

Model Information

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 4.18.0
• Pytorch 1.10.0+cu102
• Datasets 2.0.0
• Tokenizers 0.12.1

📄 License

This model is released under the MIT license.