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library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# calculator_model_test
This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5538
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4511 | 1.0 | 5 | 2.8467 |
| 2.5181 | 2.0 | 10 | 2.1116 |
| 1.9303 | 3.0 | 15 | 1.7151 |
| 1.6577 | 4.0 | 20 | 1.5789 |
| 1.5651 | 5.0 | 25 | 1.5754 |
| 1.5127 | 6.0 | 30 | 1.5309 |
| 1.4740 | 7.0 | 35 | 1.4478 |
| 1.4122 | 8.0 | 40 | 1.4028 |
| 1.3682 | 9.0 | 45 | 1.3378 |
| 1.3127 | 10.0 | 50 | 1.2629 |
| 1.2188 | 11.0 | 55 | 1.1926 |
| 1.1528 | 12.0 | 60 | 1.1110 |
| 1.0918 | 13.0 | 65 | 1.0502 |
| 1.0482 | 14.0 | 70 | 1.0344 |
| 1.0041 | 15.0 | 75 | 0.9841 |
| 0.9944 | 16.0 | 80 | 0.9972 |
| 0.9652 | 17.0 | 85 | 0.9387 |
| 0.9474 | 18.0 | 90 | 0.9364 |
| 0.9464 | 19.0 | 95 | 0.8833 |
| 0.8842 | 20.0 | 100 | 0.8297 |
| 0.8439 | 21.0 | 105 | 0.8420 |
| 0.8259 | 22.0 | 110 | 0.8106 |
| 0.8101 | 23.0 | 115 | 0.7762 |
| 0.7815 | 24.0 | 120 | 0.7527 |
| 0.7651 | 25.0 | 125 | 0.7202 |
| 0.7371 | 26.0 | 130 | 0.7016 |
| 0.7205 | 27.0 | 135 | 0.6782 |
| 0.7045 | 28.0 | 140 | 0.6595 |
| 0.6867 | 29.0 | 145 | 0.6433 |
| 0.6672 | 30.0 | 150 | 0.6401 |
| 0.6627 | 31.0 | 155 | 0.6267 |
| 0.6433 | 32.0 | 160 | 0.6054 |
| 0.6396 | 33.0 | 165 | 0.6003 |
| 0.6211 | 34.0 | 170 | 0.5905 |
| 0.6128 | 35.0 | 175 | 0.5826 |
| 0.6134 | 36.0 | 180 | 0.5728 |
| 0.6001 | 37.0 | 185 | 0.5680 |
| 0.5967 | 38.0 | 190 | 0.5584 |
| 0.5884 | 39.0 | 195 | 0.5570 |
| 0.5887 | 40.0 | 200 | 0.5538 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
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