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calculator_model_test

This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2087

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: 0.001
  • train_batch_size: 512
  • eval_batch_size: 512
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 40

Training results

Training Loss Epoch Step Validation Loss
2.9918 1.0 6 2.3314
2.1182 2.0 12 1.8298
1.6911 3.0 18 1.4816
1.3856 4.0 24 1.2456
1.1721 5.0 30 1.1107
1.0415 6.0 36 0.9727
0.9122 7.0 42 0.8805
0.8414 8.0 48 0.7747
0.7661 9.0 54 0.7645
0.7303 10.0 60 0.6846
0.683 11.0 66 0.6398
0.6329 12.0 72 0.6278
0.6155 13.0 78 0.5686
0.6154 14.0 84 0.5761
0.5568 15.0 90 0.5522
0.5444 16.0 96 0.5564
0.56 17.0 102 0.5432
0.5165 18.0 108 0.4867
0.4824 19.0 114 0.4501
0.4487 20.0 120 0.4368
0.4322 21.0 126 0.4188
0.4173 22.0 132 0.4008
0.3965 23.0 138 0.3789
0.3953 24.0 144 0.3752
0.3627 25.0 150 0.3527
0.3766 26.0 156 0.3516
0.3505 27.0 162 0.3362
0.3441 28.0 168 0.3086
0.3264 29.0 174 0.3030
0.3395 30.0 180 0.2783
0.2908 31.0 186 0.2727
0.2827 32.0 192 0.2742
0.2857 33.0 198 0.2503
0.2779 34.0 204 0.2421
0.2543 35.0 210 0.2257
0.2462 36.0 216 0.2232
0.2421 37.0 222 0.2173
0.2497 38.0 228 0.2130
0.2561 39.0 234 0.2095
0.2407 40.0 240 0.2087

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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