xlm-roberta-large-finetuned-pquad-1epochs

This model is a fine-tuned version of FacebookAI/xlm-roberta-large on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6493
• {'exact': 76.86828292926768, 'f1': 89.39013257952286, 'total': 8002, 'HasAns_exact': 71.63272010512483, 'HasAns_f1': 88.09130106789452, 'HasAns_total': 6088, 'NoAns_exact': 93.521421107628, 'NoAns_f1': 93.521421107628, 'NoAns_total': 1914, 'best_exact': 76.86828292926768, 'best_exact_thresh': 0.0, 'best_f1': 89.3901325795236, 'best_f1_thresh': 0.0}

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.5923	1.0	4020	0.6493

Framework versions

• Transformers 4.57.3
• Pytorch 2.9.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1