--- license: mit tags: - generated_from_trainer datasets: - xtreme model-index: - name: xlm-roberta-base-finetuned-panx-de results: [] --- # 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. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 48 - eval_batch_size: 48 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 1 ### Training results | Training Loss | Epoch | Step | Validation Loss | F1 | |:-------------:|:-----:|:----:|:---------------:|:------:| | No log | 1.0 | 42 | 0.4092 | 0.5360 | ### Framework versions - Transformers 4.26.0 - Pytorch 1.13.1 - Datasets 2.9.0 - Tokenizers 0.13.2