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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: 0.6688
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4045 | 1.0 | 6 | 2.7587 |
| 2.3917 | 2.0 | 12 | 1.9900 |
| 1.8734 | 3.0 | 18 | 1.6958 |
| 1.6324 | 4.0 | 24 | 1.6081 |
| 1.5676 | 5.0 | 30 | 1.5619 |
| 1.5436 | 6.0 | 36 | 1.6197 |
| 1.5139 | 7.0 | 42 | 1.4991 |
| 1.4614 | 8.0 | 48 | 1.4779 |
| 1.4407 | 9.0 | 54 | 1.4234 |
| 1.3644 | 10.0 | 60 | 1.3460 |
| 1.3096 | 11.0 | 66 | 1.3823 |
| 1.2634 | 12.0 | 72 | 1.2711 |
| 1.1912 | 13.0 | 78 | 1.2382 |
| 1.1856 | 14.0 | 84 | 1.1337 |
| 1.1019 | 15.0 | 90 | 1.2100 |
| 1.1441 | 16.0 | 96 | 1.1382 |
| 1.0611 | 17.0 | 102 | 1.0282 |
| 0.9967 | 18.0 | 108 | 0.9920 |
| 0.9765 | 19.0 | 114 | 0.9946 |
| 0.9517 | 20.0 | 120 | 0.9478 |
| 0.9374 | 21.0 | 126 | 0.9441 |
| 0.8931 | 22.0 | 132 | 0.9748 |
| 0.8756 | 23.0 | 138 | 0.8511 |
| 0.8523 | 24.0 | 144 | 0.8759 |
| 0.8757 | 25.0 | 150 | 0.8253 |
| 0.8209 | 26.0 | 156 | 0.8182 |
| 0.8190 | 27.0 | 162 | 0.7820 |
| 0.7795 | 28.0 | 168 | 0.7740 |
| 0.8097 | 29.0 | 174 | 0.7571 |
| 0.7626 | 30.0 | 180 | 0.7584 |
| 0.7491 | 31.0 | 186 | 0.7444 |
| 0.7320 | 32.0 | 192 | 0.7177 |
| 0.7235 | 33.0 | 198 | 0.7124 |
| 0.7145 | 34.0 | 204 | 0.7032 |
| 0.7085 | 35.0 | 210 | 0.6888 |
| 0.7138 | 36.0 | 216 | 0.6866 |
| 0.6910 | 37.0 | 222 | 0.6789 |
| 0.6801 | 38.0 | 228 | 0.6731 |
| 0.6819 | 39.0 | 234 | 0.6715 |
| 0.6750 | 40.0 | 240 | 0.6688 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2
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