finetuned_bge_ver34 / README.md
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metadata
license: mit
base_model: BAAI/bge-m3
tags:
  - generated_from_trainer
model-index:
  - name: finetuned_bge_ver34
    results: []

finetuned_bge_ver34

This model is a fine-tuned version of BAAI/bge-m3 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: 16
  • eval_batch_size: 8
  • seed: 42
  • distributed_type: multi-GPU
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 4.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.41.1
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1