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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: 0.0085
## 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: 40
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.9669 | 1.0 | 6 | 0.6731 |
| 0.4986 | 2.0 | 12 | 0.3548 |
| 0.3213 | 3.0 | 18 | 0.2928 |
| 0.2867 | 4.0 | 24 | 0.2126 |
| 0.2162 | 5.0 | 30 | 0.1518 |
| 0.167 | 6.0 | 36 | 0.1237 |
| 0.1443 | 7.0 | 42 | 0.0969 |
| 0.1235 | 8.0 | 48 | 0.0684 |
| 0.1002 | 9.0 | 54 | 0.0610 |
| 0.0928 | 10.0 | 60 | 0.0616 |
| 0.0843 | 11.0 | 66 | 0.0507 |
| 0.0737 | 12.0 | 72 | 0.0435 |
| 0.0606 | 13.0 | 78 | 0.0387 |
| 0.0583 | 14.0 | 84 | 0.0363 |
| 0.0529 | 15.0 | 90 | 0.0278 |
| 0.0515 | 16.0 | 96 | 0.0267 |
| 0.0539 | 17.0 | 102 | 0.0263 |
| 0.0514 | 18.0 | 108 | 0.0312 |
| 0.0498 | 19.0 | 114 | 0.0248 |
| 0.0405 | 20.0 | 120 | 0.0252 |
| 0.0376 | 21.0 | 126 | 0.0242 |
| 0.0417 | 22.0 | 132 | 0.0279 |
| 0.0361 | 23.0 | 138 | 0.0219 |
| 0.0327 | 24.0 | 144 | 0.0152 |
| 0.0288 | 25.0 | 150 | 0.0146 |
| 0.0253 | 26.0 | 156 | 0.0162 |
| 0.0223 | 27.0 | 162 | 0.0140 |
| 0.0207 | 28.0 | 168 | 0.0118 |
| 0.0198 | 29.0 | 174 | 0.0108 |
| 0.0191 | 30.0 | 180 | 0.0109 |
| 0.0172 | 31.0 | 186 | 0.0096 |
| 0.0165 | 32.0 | 192 | 0.0093 |
| 0.0153 | 33.0 | 198 | 0.0091 |
| 0.0156 | 34.0 | 204 | 0.0092 |
| 0.0159 | 35.0 | 210 | 0.0092 |
| 0.0153 | 36.0 | 216 | 0.0088 |
| 0.0157 | 37.0 | 222 | 0.0085 |
| 0.0149 | 38.0 | 228 | 0.0084 |
| 0.0135 | 39.0 | 234 | 0.0086 |
| 0.0135 | 40.0 | 240 | 0.0085 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3
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