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metadata
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: 0.3578

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: 30

Training results

Training Loss Epoch Step Validation Loss
2.9444 1.0 6 2.3826
2.1543 2.0 12 1.8663
1.7072 3.0 18 1.5640
1.4261 4.0 24 1.3127
1.2227 5.0 30 1.1949
1.061 6.0 36 1.0322
0.9789 7.0 42 0.9130
0.8812 8.0 48 0.8633
0.8289 9.0 54 0.7872
0.693 10.0 60 0.7300
0.7416 11.0 66 0.7454
0.6965 12.0 72 0.6641
0.6592 13.0 78 0.6362
0.6411 14.0 84 0.5824
0.5677 15.0 90 0.5541
0.5575 16.0 96 0.5299
0.5305 17.0 102 0.5435
0.5371 18.0 108 0.4937
0.4795 19.0 114 0.4800
0.4693 20.0 120 0.4486
0.4836 21.0 126 0.4478
0.4351 22.0 132 0.4323
0.47 23.0 138 0.4131
0.414 24.0 144 0.4023
0.4396 25.0 150 0.3961
0.4079 26.0 156 0.3870
0.4052 27.0 162 0.3846
0.3914 28.0 168 0.3676
0.4287 29.0 174 0.3593
0.3583 30.0 180 0.3578

Framework versions

  • Transformers 4.38.1
  • Pytorch 2.1.0+cu121
  • Datasets 2.17.1
  • Tokenizers 0.15.2