Xlm Roberta Base Finetuned Panx De

🚀 xlm-roberta-base-finetuned-panx-de

This model is a fine - tuned variant of [xlm - roberta - base](https://huggingface.co/xlm - roberta - base) on the xtreme dataset. It offers high - performance token classification, achieving notable results on the evaluation set, such as a low loss and high F1 score.

🚀 Quick Start

This model can be used for token classification tasks. You can load it using the Hugging Face Transformers library. For example:

from transformers import AutoModelForTokenClassification, AutoTokenizer

model = AutoModelForTokenClassification.from_pretrained('your_model_path')
tokenizer = AutoTokenizer.from_pretrained('your_model_path')

✨ Features

• Fine - tuned on the xtreme dataset, which enhances its performance on specific tasks.
• Achieves good results in terms of loss and F1 score on the evaluation set.

📦 Installation

To use this model, you need to install the necessary libraries:

pip install transformers datasets torch tokenizers

📚 Documentation

Model Information

Training and Evaluation

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 4.16.2
• Pytorch 1.10.0+cu113
• Datasets 1.18.3
• Tokenizers 0.11.0

📄 License

This model is released under the MIT license.