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---
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: 0.0047
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7292 | 1.0 | 6 | 2.1173 |
| 1.7871 | 2.0 | 12 | 1.3767 |
| 1.1487 | 3.0 | 18 | 0.9345 |
| 0.8396 | 4.0 | 24 | 0.8010 |
| 0.741 | 5.0 | 30 | 0.6938 |
| 0.617 | 6.0 | 36 | 0.6118 |
| 0.5495 | 7.0 | 42 | 0.5396 |
| 0.4991 | 8.0 | 48 | 0.4896 |
| 0.4526 | 9.0 | 54 | 0.4333 |
| 0.3899 | 10.0 | 60 | 0.3730 |
| 0.331 | 11.0 | 66 | 0.3093 |
| 0.2617 | 12.0 | 72 | 0.2348 |
| 0.2112 | 13.0 | 78 | 0.1729 |
| 0.1642 | 14.0 | 84 | 0.1352 |
| 0.1285 | 15.0 | 90 | 0.1043 |
| 0.1063 | 16.0 | 96 | 0.0811 |
| 0.0806 | 17.0 | 102 | 0.0593 |
| 0.0617 | 18.0 | 108 | 0.0429 |
| 0.0519 | 19.0 | 114 | 0.0305 |
| 0.0372 | 20.0 | 120 | 0.0230 |
| 0.0323 | 21.0 | 126 | 0.0191 |
| 0.0255 | 22.0 | 132 | 0.0152 |
| 0.0219 | 23.0 | 138 | 0.0134 |
| 0.0202 | 24.0 | 144 | 0.0118 |
| 0.0161 | 25.0 | 150 | 0.0105 |
| 0.0154 | 26.0 | 156 | 0.0087 |
| 0.0126 | 27.0 | 162 | 0.0077 |
| 0.0115 | 28.0 | 168 | 0.0069 |
| 0.0104 | 29.0 | 174 | 0.0064 |
| 0.0121 | 30.0 | 180 | 0.0061 |
| 0.0113 | 31.0 | 186 | 0.0062 |
| 0.0105 | 32.0 | 192 | 0.0059 |
| 0.0103 | 33.0 | 198 | 0.0057 |
| 0.0097 | 34.0 | 204 | 0.0052 |
| 0.0088 | 35.0 | 210 | 0.0052 |
| 0.0083 | 36.0 | 216 | 0.0050 |
| 0.0086 | 37.0 | 222 | 0.0048 |
| 0.0075 | 38.0 | 228 | 0.0048 |
| 0.0075 | 39.0 | 234 | 0.0047 |
| 0.0073 | 40.0 | 240 | 0.0047 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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