reranker_binary_filt_train

This model is a fine-tuned version of Qwen/Qwen2.5-0.5B-Instruct on the reranker_binary_filt_train dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0526

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: 1e-05
  • train_batch_size: 1
  • eval_batch_size: 1
  • seed: 42
  • distributed_type: multi-GPU
  • num_devices: 8
  • total_train_batch_size: 8
  • total_eval_batch_size: 8
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 1.0

Training results

Training Loss Epoch Step Validation Loss
0.0517 0.1000 1937 0.0871
0.114 0.2001 3874 0.0835
0.1033 0.3001 5811 0.0735
0.0544 0.4001 7748 0.0663
0.1169 0.5001 9685 0.0623
0.05 0.6002 11622 0.0599
0.0951 0.7002 13559 0.0566
0.0497 0.8002 15496 0.0551
0.1002 0.9002 17433 0.0532

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.4.0+cu121
  • Datasets 3.1.0
  • Tokenizers 0.20.3
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