multi-wiki-qa-gn-xlm-v-base

This model is a fine-tuned version of facebook/xlm-v-base on alexandrainst/multi-wiki-qa dataset.

Results on test set:

• exact_match: 31.3373253493014
• f1: 48.315832905161635

Model description

The best model for QA on my account, prefer this ones over the other models trained with this corpus.

Intended uses & limitations

Question Answering on Guarani.

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: 5
• mixed_precision_training: Native AMP

Training results

Results on validation set:

• exact_match: 31.914893617021278
• f1: 45.947126767245244

Framework versions

• Transformers 4.57.1
• Pytorch 2.8.0+cu126
• Datasets 4.0.0
• Tokenizers 0.22.1