XLM-RoBERTa-Large-PANX-WikiAnn-en
This model is a fine-tuned version of FacebookAI/xlm-roberta-large on the google/xtreme dataset (English split of the PAN-X). It achieves the following results on the evaluation set:
- Loss: 0.2569
- Precision: 0.8347
- Recall: 0.8529
- F1: 0.8437
- Accuracy: 0.9357
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
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Model tree for ShkalikovOleh/xlm-roberta-large-panx-wikiann-en
Base model
FacebookAI/xlm-roberta-largeDataset used to train ShkalikovOleh/xlm-roberta-large-panx-wikiann-en
Evaluation results
- Precision on google/xtremevalidation set self-reported0.835
- Recall on google/xtremevalidation set self-reported0.853
- F1 on google/xtremevalidation set self-reported0.844
- Accuracy on google/xtremevalidation set self-reported0.936