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multi-wiki-qa-gn-xlm-v-base – AI Model by mmaguero | AlphaNeural AI
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mmaguero
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multi-wiki-qa-gn-xlm-v-base
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
es
gn
grn
gug
alexandrainst/multi-wiki-qa
facebook/xlm-v-base
finetune
mit
endpoints_compatible
us
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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
