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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: 0.0653
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0601 | 1.0 | 5 | 2.3320 |
| 2.1438 | 2.0 | 10 | 1.8625 |
| 1.719 | 3.0 | 15 | 1.4731 |
| 1.3536 | 4.0 | 20 | 1.1824 |
| 1.1078 | 5.0 | 25 | 1.0030 |
| 0.9378 | 6.0 | 30 | 0.8243 |
| 0.814 | 7.0 | 35 | 0.7440 |
| 0.7285 | 8.0 | 40 | 0.6701 |
| 0.6557 | 9.0 | 45 | 0.5971 |
| 0.6103 | 10.0 | 50 | 0.5747 |
| 0.5812 | 11.0 | 55 | 0.5327 |
| 0.5484 | 12.0 | 60 | 0.5351 |
| 0.5322 | 13.0 | 65 | 0.4831 |
| 0.485 | 14.0 | 70 | 0.4645 |
| 0.4599 | 15.0 | 75 | 0.4106 |
| 0.4148 | 16.0 | 80 | 0.3721 |
| 0.3847 | 17.0 | 85 | 0.3418 |
| 0.3717 | 18.0 | 90 | 0.3214 |
| 0.3406 | 19.0 | 95 | 0.3021 |
| 0.3133 | 20.0 | 100 | 0.2631 |
| 0.2902 | 21.0 | 105 | 0.2421 |
| 0.2558 | 22.0 | 110 | 0.2098 |
| 0.2351 | 23.0 | 115 | 0.1821 |
| 0.2115 | 24.0 | 120 | 0.1597 |
| 0.1909 | 25.0 | 125 | 0.1435 |
| 0.1745 | 26.0 | 130 | 0.1364 |
| 0.1612 | 27.0 | 135 | 0.1223 |
| 0.1516 | 28.0 | 140 | 0.1127 |
| 0.1379 | 29.0 | 145 | 0.1012 |
| 0.1281 | 30.0 | 150 | 0.0945 |
| 0.1232 | 31.0 | 155 | 0.0858 |
| 0.1153 | 32.0 | 160 | 0.0822 |
| 0.1077 | 33.0 | 165 | 0.0798 |
| 0.1039 | 34.0 | 170 | 0.0764 |
| 0.1025 | 35.0 | 175 | 0.0719 |
| 0.0989 | 36.0 | 180 | 0.0685 |
| 0.0955 | 37.0 | 185 | 0.0685 |
| 0.0949 | 38.0 | 190 | 0.0660 |
| 0.0915 | 39.0 | 195 | 0.0653 |
| 0.0901 | 40.0 | 200 | 0.0653 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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