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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: 0.0034
## 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
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.6369 | 1.0 | 6 | 2.0477 |
| 1.7565 | 2.0 | 12 | 1.3737 |
| 1.1734 | 3.0 | 18 | 0.9502 |
| 0.8518 | 4.0 | 24 | 0.7393 |
| 0.6819 | 5.0 | 30 | 0.5983 |
| 0.5682 | 6.0 | 36 | 0.5471 |
| 0.5061 | 7.0 | 42 | 0.4669 |
| 0.4481 | 8.0 | 48 | 0.4075 |
| 0.3943 | 9.0 | 54 | 0.3609 |
| 0.3549 | 10.0 | 60 | 0.3064 |
| 0.3008 | 11.0 | 66 | 0.2429 |
| 0.273 | 12.0 | 72 | 0.2077 |
| 0.2174 | 13.0 | 78 | 0.1596 |
| 0.1708 | 14.0 | 84 | 0.1402 |
| 0.1405 | 15.0 | 90 | 0.0785 |
| 0.1068 | 16.0 | 96 | 0.0725 |
| 0.1017 | 17.0 | 102 | 0.0490 |
| 0.0684 | 18.0 | 108 | 0.0417 |
| 0.0565 | 19.0 | 114 | 0.0290 |
| 0.0487 | 20.0 | 120 | 0.0237 |
| 0.0403 | 21.0 | 126 | 0.0164 |
| 0.0323 | 22.0 | 132 | 0.0141 |
| 0.0277 | 23.0 | 138 | 0.0126 |
| 0.0234 | 24.0 | 144 | 0.0088 |
| 0.0219 | 25.0 | 150 | 0.0076 |
| 0.0215 | 26.0 | 156 | 0.0088 |
| 0.0175 | 27.0 | 162 | 0.0072 |
| 0.0152 | 28.0 | 168 | 0.0057 |
| 0.0198 | 29.0 | 174 | 0.0057 |
| 0.0146 | 30.0 | 180 | 0.0055 |
| 0.0126 | 31.0 | 186 | 0.0055 |
| 0.0125 | 32.0 | 192 | 0.0045 |
| 0.0108 | 33.0 | 198 | 0.0041 |
| 0.0091 | 34.0 | 204 | 0.0042 |
| 0.0076 | 35.0 | 210 | 0.0038 |
| 0.0076 | 36.0 | 216 | 0.0036 |
| 0.0072 | 37.0 | 222 | 0.0035 |
| 0.0067 | 38.0 | 228 | 0.0035 |
| 0.0066 | 39.0 | 234 | 0.0034 |
| 0.0065 | 40.0 | 240 | 0.0034 |
### Framework versions
- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3
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