fine_tuned_yelp

This model is a fine-tuned version of Qwen/Qwen2-1.5B on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2855
  • Accuracy: 0.9328

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.927 0.0170 100 0.4956 0.7806
0.5634 0.0340 200 0.4637 0.8044
0.4876 0.0509 300 0.7024 0.8648
0.4179 0.0679 400 0.3941 0.8944
0.4397 0.0849 500 0.5622 0.8291
0.3985 0.1019 600 0.3185 0.8997
0.4607 0.1188 700 0.4404 0.8942
0.4023 0.1358 800 0.2967 0.9091
0.3185 0.1528 900 0.3033 0.8980
0.335 0.1698 1000 0.2653 0.9232
0.3665 0.1868 1100 0.2280 0.9246
0.3033 0.2037 1200 0.1975 0.9320
0.2578 0.2207 1300 0.2171 0.9341
0.3417 0.2377 1400 0.2497 0.9301
0.3222 0.2547 1500 0.2855 0.9328

Framework versions

  • Transformers 4.49.0
  • Pytorch 2.6.0+cu126
  • Datasets 3.3.2
  • Tokenizers 0.21.0
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