metadata

library_name: transformers
license: apache-2.0
base_model: amberoad/bert-multilingual-passage-reranking-msmarco
tags:
  - generated_from_trainer
model-index:
  - name: category_predictor_for_household_equipments
    results: []

category_predictor_for_household_equipments

This model is a fine-tuned version of amberoad/bert-multilingual-passage-reranking-msmarco 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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 4.46.2
Pytorch 2.5.1
Datasets 3.1.0
Tokenizers 0.20.1