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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: 0.7556
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1456 | 1.0 | 6 | 2.5517 |
| 2.1398 | 2.0 | 12 | 1.8461 |
| 1.7232 | 3.0 | 18 | 1.6222 |
| 1.6435 | 4.0 | 24 | 1.6869 |
| 1.6417 | 5.0 | 30 | 1.5262 |
| 1.4634 | 6.0 | 36 | 1.4824 |
| 1.4507 | 7.0 | 42 | 1.8991 |
| 1.54 | 8.0 | 48 | 1.4370 |
| 1.483 | 9.0 | 54 | 1.4203 |
| 1.4086 | 10.0 | 60 | 1.4349 |
| 1.4063 | 11.0 | 66 | 1.5677 |
| 1.4235 | 12.0 | 72 | 1.3646 |
| 1.2839 | 13.0 | 78 | 1.2074 |
| 1.2127 | 14.0 | 84 | 1.2050 |
| 1.1447 | 15.0 | 90 | 1.1797 |
| 1.1515 | 16.0 | 96 | 1.1440 |
| 1.1138 | 17.0 | 102 | 1.1293 |
| 1.07 | 18.0 | 108 | 1.1061 |
| 1.0295 | 19.0 | 114 | 1.1572 |
| 1.1086 | 20.0 | 120 | 1.3547 |
| 1.1835 | 21.0 | 126 | 1.1306 |
| 1.0968 | 22.0 | 132 | 1.0152 |
| 1.0012 | 23.0 | 138 | 1.0467 |
| 1.0088 | 24.0 | 144 | 0.9831 |
| 0.9616 | 25.0 | 150 | 0.9141 |
| 0.9385 | 26.0 | 156 | 0.9093 |
| 0.8887 | 27.0 | 162 | 0.9188 |
| 0.9549 | 28.0 | 168 | 0.9369 |
| 0.8972 | 29.0 | 174 | 0.8518 |
| 0.8973 | 30.0 | 180 | 0.8424 |
| 0.8419 | 31.0 | 186 | 0.8858 |
| 0.8887 | 32.0 | 192 | 0.8781 |
| 0.8509 | 33.0 | 198 | 0.8372 |
| 0.8473 | 34.0 | 204 | 0.8021 |
| 0.8361 | 35.0 | 210 | 0.7912 |
| 0.8037 | 36.0 | 216 | 0.7771 |
| 0.7776 | 37.0 | 222 | 0.7742 |
| 0.7767 | 38.0 | 228 | 0.7602 |
| 0.795 | 39.0 | 234 | 0.7568 |
| 0.8284 | 40.0 | 240 | 0.7556 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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