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crossencoder-marco-MiniLM-L-6-v2-refine

This model is a fine-tuned version of cross-encoder/ms-marco-MiniLM-L-6-v2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0504

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
58.7177 1.0 63 37.5426
0.6125 2.0 126 0.4536
0.1224 3.0 189 0.0591

Framework versions

  • Transformers 4.37.2
  • Pytorch 2.1.0
  • Datasets 2.14.6
  • Tokenizers 0.15.1
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