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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: 0.6619
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3473 | 1.0 | 6 | 2.7247 |
| 2.3527 | 2.0 | 12 | 1.9354 |
| 1.825 | 3.0 | 18 | 1.6728 |
| 1.6407 | 4.0 | 24 | 1.5858 |
| 1.5855 | 5.0 | 30 | 1.5447 |
| 1.5394 | 6.0 | 36 | 1.5319 |
| 1.534 | 7.0 | 42 | 1.5225 |
| 1.5094 | 8.0 | 48 | 1.5909 |
| 1.5007 | 9.0 | 54 | 1.4836 |
| 1.485 | 10.0 | 60 | 1.4084 |
| 1.378 | 11.0 | 66 | 1.5103 |
| 1.4233 | 12.0 | 72 | 1.3968 |
| 1.3443 | 13.0 | 78 | 1.3014 |
| 1.3112 | 14.0 | 84 | 1.2836 |
| 1.2276 | 15.0 | 90 | 1.1906 |
| 1.1665 | 16.0 | 96 | 1.1611 |
| 1.1533 | 17.0 | 102 | 1.0644 |
| 1.0948 | 18.0 | 108 | 1.0426 |
| 1.0375 | 19.0 | 114 | 1.0362 |
| 1.0114 | 20.0 | 120 | 0.9836 |
| 1.0002 | 21.0 | 126 | 0.9499 |
| 0.9633 | 22.0 | 132 | 0.8812 |
| 0.923 | 23.0 | 138 | 0.8850 |
| 0.9197 | 24.0 | 144 | 0.8646 |
| 0.875 | 25.0 | 150 | 0.8264 |
| 0.8645 | 26.0 | 156 | 0.8182 |
| 0.8398 | 27.0 | 162 | 0.7980 |
| 0.8313 | 28.0 | 168 | 0.7804 |
| 0.7947 | 29.0 | 174 | 0.7572 |
| 0.7929 | 30.0 | 180 | 0.7846 |
| 0.7809 | 31.0 | 186 | 0.7695 |
| 0.7655 | 32.0 | 192 | 0.7372 |
| 0.7692 | 33.0 | 198 | 0.7230 |
| 0.7658 | 34.0 | 204 | 0.7236 |
| 0.7587 | 35.0 | 210 | 0.7068 |
| 0.7389 | 36.0 | 216 | 0.6952 |
| 0.7244 | 37.0 | 222 | 0.6792 |
| 0.7087 | 38.0 | 228 | 0.6692 |
| 0.7031 | 39.0 | 234 | 0.6634 |
| 0.7026 | 40.0 | 240 | 0.6619 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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