Xlm Roberta Base Finetuned Panx Fr

🚀 xlm-roberta-base-finetuned-panx-fr

This model is a fine - tuned version of xlm - roberta - base on the xtreme dataset, achieving good results in evaluation.

📄 License

This project is licensed under the MIT license.

✨ Features

• Generated from Trainer: This model is generated from a trainer, which ensures a certain level of standardization and reproducibility in the training process.
• Trained on xtreme Dataset: The model is fine - tuned on the xtreme dataset, which can improve its performance and generalization ability in relevant tasks.
• Evaluated by F1 Metric: The F1 metric is used to evaluate the model, which provides an effective way to measure the model's performance in tasks such as token classification.

📚 Documentation

Model Information

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: 0.2794
• F1: 0.8376

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 4.19.4
• Pytorch 1.11.0+cu113
• Datasets 2.3.2
• Tokenizers 0.12.1

📦 Model Index