xlm-roberta-base-finetuned-Gemma3_em_sim_bt_0.8

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

• Loss: 2.0166
• {'exact_match': 44.6, 'f1': 52.829245695824646}
• {'exact_match': 45.5, 'f1': 53.73161413148257}
• {'exact_match': 47.0, 'f1': 54.52761308866571}
• {'exact_match': 45.9, 'f1': 53.65471754853335}
• avg = {'exact_match': 45.75, 'f1': approximately 53.69}

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: 3
• mixed_precision_training: Native AMP

Training results

Framework versions

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