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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: 0.0074

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
2.7828 1.0 6 2.0687
1.7850 2.0 12 1.3799
1.1680 3.0 18 0.9251
0.8524 4.0 24 0.8014
0.7640 5.0 30 0.7196
0.6746 6.0 36 0.6506
0.5984 7.0 42 0.5609
0.5341 8.0 48 0.5140
0.4857 9.0 54 0.4675
0.4357 10.0 60 0.4175
0.3966 11.0 66 0.3690
0.3566 12.0 72 0.3337
0.3136 13.0 78 0.2890
0.2728 14.0 84 0.2274
0.2186 15.0 90 0.1968
0.1854 16.0 96 0.1546
0.1514 17.0 102 0.1240
0.1256 18.0 108 0.0980
0.1096 19.0 114 0.0838
0.0973 20.0 120 0.0623
0.0709 21.0 126 0.0514
0.0586 22.0 132 0.0419
0.0513 23.0 138 0.0342
0.0414 24.0 144 0.0265
0.0354 25.0 150 0.0225
0.0316 26.0 156 0.0193
0.0279 27.0 162 0.0161
0.0254 28.0 168 0.0156
0.0228 29.0 174 0.0130
0.0202 30.0 180 0.0111
0.0176 31.0 186 0.0104
0.0169 32.0 192 0.0094
0.0146 33.0 198 0.0092
0.0141 34.0 204 0.0085
0.0150 35.0 210 0.0083
0.0135 36.0 216 0.0080
0.0144 37.0 222 0.0078
0.0134 38.0 228 0.0076
0.0129 39.0 234 0.0074
0.0120 40.0 240 0.0074

Framework versions

  • Transformers 5.0.0
  • Pytorch 2.10.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2