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yingchuanong_582_competition

This model is a fine-tuned version of BAAI/bge-base-en-v1.5 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2288
  • F1: 0.5191

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 124
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss F1
0.2052 1.0 80 1.4301 0.5066
0.0428 2.0 160 2.1443 0.5332
0.0022 3.0 240 2.2288 0.5191

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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