mehuldamani / orm-hotpot-v2-final-correctness

huggingface.co
Total runs: 29
24-hour runs: 0
7-day runs: 0
30-day runs: -13
Model's Last Updated: June 10 2025
text-classification

Introduction of orm-hotpot-v2-final-correctness

Model Details of orm-hotpot-v2-final-correctness

orm-hotpot-v2-final-correctness

This model is a fine-tuned version of Qwen/Qwen2.5-7B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5965
  • Accuracy: 0.7
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-06
  • train_batch_size: 1
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 64
  • total_train_batch_size: 64
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.05
  • training_steps: 300
Training results
Training Loss Epoch Step Validation Loss Accuracy
0.6944 0.08 25 0.6598 0.584
0.7264 0.16 50 0.7157 0.568
0.6153 0.24 75 0.6331 0.642
0.6774 0.32 100 0.5896 0.658
0.5579 0.4 125 0.5685 0.694
0.5981 0.48 150 0.5802 0.702
0.5214 0.56 175 0.6180 0.688
0.5363 0.64 200 0.6699 0.668
0.5309 0.72 225 0.5933 0.694
0.5541 0.8 250 0.5949 0.7
0.5562 0.88 275 0.5978 0.698
0.5539 0.96 300 0.5965 0.7
Framework versions
  • Transformers 4.48.3
  • Pytorch 2.5.1+cu124
  • Datasets 3.3.1
  • Tokenizers 0.21.0

Runs of mehuldamani orm-hotpot-v2-final-correctness on huggingface.co

29
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-13
30-day runs

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