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metadata
library_name: transformers
tags:
  - generated_from_trainer
model-index:
  - name: calculator_model_test
    results: []

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: 2.4280

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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 40

Training results

Training Loss Epoch Step Validation Loss
2.9289 1.0 6 2.2631
2.0248 2.0 12 1.8559
1.6028 3.0 18 1.7034
1.2773 4.0 24 1.6626
1.0862 5.0 30 1.6454
0.9687 6.0 36 1.8670
0.8858 7.0 42 1.8190
0.7782 8.0 48 2.0888
0.7379 9.0 54 2.1530
0.7093 10.0 60 2.1941
0.6654 11.0 66 2.0807
0.6296 12.0 72 2.1993
0.5963 13.0 78 2.2719
0.5661 14.0 84 2.2821
0.5392 15.0 90 2.2940
0.5209 16.0 96 2.3435
0.4862 17.0 102 2.3659
0.4886 18.0 108 2.4129
0.4668 19.0 114 2.5027
0.4577 20.0 120 2.5144
0.4426 21.0 126 2.4393
0.4198 22.0 132 2.4533
0.4200 23.0 138 2.4996
0.3980 24.0 144 2.4961
0.3715 25.0 150 2.4773
0.3642 26.0 156 2.4326
0.3530 27.0 162 2.4626
0.3300 28.0 168 2.4540
0.3190 29.0 174 2.4593
0.3125 30.0 180 2.4535
0.3008 31.0 186 2.4917
0.2989 32.0 192 2.4753
0.2802 33.0 198 2.4765
0.2677 34.0 204 2.4505
0.2569 35.0 210 2.4462
0.2535 36.0 216 2.4243
0.2586 37.0 222 2.4185
0.2421 38.0 228 2.4217
0.2463 39.0 234 2.4261
0.2430 40.0 240 2.4280

Framework versions

  • Transformers 5.2.0
  • Pytorch 2.10.0
  • Datasets 4.6.1
  • Tokenizers 0.22.2