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ALQAC_2025_Reranker_top20_zalo – AI Model by phonghoccode | AlphaNeural AI
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ALQAC_2025_Reranker_top20_zalo
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
AITeamVN/Vietnamese_Reranker
finetune
apache-2.0
autotrain_compatible
endpoints_compatible
us
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ALQAC_2025_Reranker_top20_zalo
This model is a fine-tuned version of
AITeamVN/Vietnamese_Reranker
on an unknown dataset.
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: 6e-05
train_batch_size: 6
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 12
total_eval_batch_size: 16
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4.0
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.53.2
Pytorch 2.7.0+cu126
Datasets 4.0.0
Tokenizers 0.21.2