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: 1.0688
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 |
|---|---|---|---|
| 3.3893 | 1.0 | 6 | 2.7878 |
| 2.3793 | 2.0 | 12 | 2.0120 |
| 1.8105 | 3.0 | 18 | 1.7359 |
| 1.7065 | 4.0 | 24 | 1.6122 |
| 1.5999 | 5.0 | 30 | 1.5879 |
| 1.5255 | 6.0 | 36 | 1.5673 |
| 1.5594 | 7.0 | 42 | 1.5521 |
| 1.6001 | 8.0 | 48 | 1.5521 |
| 1.5258 | 9.0 | 54 | 1.5455 |
| 1.5409 | 10.0 | 60 | 1.5365 |
| 1.4994 | 11.0 | 66 | 1.5200 |
| 1.6964 | 12.0 | 72 | 1.5414 |
| 1.5533 | 13.0 | 78 | 1.5358 |
| 1.5126 | 14.0 | 84 | 1.5451 |
| 1.5059 | 15.0 | 90 | 1.5400 |
| 1.5275 | 16.0 | 96 | 1.5327 |
| 1.5096 | 17.0 | 102 | 1.5364 |
| 1.4895 | 18.0 | 108 | 1.5174 |
| 1.5105 | 19.0 | 114 | 1.5081 |
| 1.6200 | 20.0 | 120 | 1.4852 |
| 1.4444 | 21.0 | 126 | 1.4887 |
| 1.4563 | 22.0 | 132 | 1.4678 |
| 1.4463 | 23.0 | 138 | 1.5232 |
| 1.4361 | 24.0 | 144 | 1.4566 |
| 1.3858 | 25.0 | 150 | 1.4188 |
| 1.4205 | 26.0 | 156 | 1.3848 |
| 1.5212 | 27.0 | 162 | 1.3525 |
| 1.3287 | 28.0 | 168 | 1.3048 |
| 1.3173 | 29.0 | 174 | 1.2737 |
| 1.2489 | 30.0 | 180 | 1.2401 |
| 1.2379 | 31.0 | 186 | 1.2125 |
| 1.1931 | 32.0 | 192 | 1.1883 |
| 1.1832 | 33.0 | 198 | 1.1493 |
| 1.1847 | 34.0 | 204 | 1.1439 |
| 1.1620 | 35.0 | 210 | 1.1168 |
| 1.1313 | 36.0 | 216 | 1.1089 |
| 1.1060 | 37.0 | 222 | 1.0931 |
| 1.1073 | 38.0 | 228 | 1.0830 |
| 1.0929 | 39.0 | 234 | 1.0711 |
| 1.0735 | 40.0 | 240 | 1.0688 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2