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multi-wiki-qa-gn-bert-tiny-cased – AI Model by mmaguero | AlphaNeural AI

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mmaguero/
multi-wiki-qa-gn-bert-tiny-cased

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question-answering

generated_from_trainer

alexandrainst/multi-wiki-qa

mmaguero/gn-bert-tiny-cased

endpoints_compatible

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multi-wiki-qa-gn-bert-tiny-cased

[!WARNING] WARNING: This model is no recommended.
For a best model, please use:
mmaguero/multi-wiki-qa-gn-xlm-v-base

This model is a fine-tuned version of mmaguero/gn-bert-tiny-cased on alexandrainst/multi-wiki-qa dataset. It achieves the following results on the evaluation set:

Loss: 4.5804

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 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1