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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: 0.7222
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4163 | 1.0 | 6 | 2.8253 |
| 2.463 | 2.0 | 12 | 2.0984 |
| 1.8832 | 3.0 | 18 | 1.7286 |
| 1.6613 | 4.0 | 24 | 1.6379 |
| 1.5863 | 5.0 | 30 | 1.5767 |
| 1.5021 | 6.0 | 36 | 1.5366 |
| 1.4813 | 7.0 | 42 | 1.5000 |
| 1.4805 | 8.0 | 48 | 1.4118 |
| 1.4184 | 9.0 | 54 | 1.4590 |
| 1.3594 | 10.0 | 60 | 1.3815 |
| 1.3154 | 11.0 | 66 | 1.3336 |
| 1.3036 | 12.0 | 72 | 1.3426 |
| 1.2467 | 13.0 | 78 | 1.2566 |
| 1.1995 | 14.0 | 84 | 1.1788 |
| 1.1292 | 15.0 | 90 | 1.1819 |
| 1.1157 | 16.0 | 96 | 1.1389 |
| 1.1397 | 17.0 | 102 | 1.0924 |
| 1.1128 | 18.0 | 108 | 1.0831 |
| 1.0476 | 19.0 | 114 | 1.0312 |
| 1.0193 | 20.0 | 120 | 0.9820 |
| 1.0701 | 21.0 | 126 | 0.9712 |
| 0.9618 | 22.0 | 132 | 0.9326 |
| 0.9227 | 23.0 | 138 | 0.9335 |
| 0.9399 | 24.0 | 144 | 0.9046 |
| 0.9318 | 25.0 | 150 | 0.8951 |
| 0.9068 | 26.0 | 156 | 0.8831 |
| 0.8687 | 27.0 | 162 | 0.8611 |
| 0.848 | 28.0 | 168 | 0.8884 |
| 0.8559 | 29.0 | 174 | 0.8844 |
| 0.8439 | 30.0 | 180 | 0.8729 |
| 0.8453 | 31.0 | 186 | 0.8323 |
| 0.8154 | 32.0 | 192 | 0.8130 |
| 0.788 | 33.0 | 198 | 0.8038 |
| 0.7912 | 34.0 | 204 | 0.7717 |
| 0.7823 | 35.0 | 210 | 0.7539 |
| 0.7658 | 36.0 | 216 | 0.7556 |
| 0.7617 | 37.0 | 222 | 0.7427 |
| 0.7396 | 38.0 | 228 | 0.7340 |
| 0.7621 | 39.0 | 234 | 0.7243 |
| 0.7324 | 40.0 | 240 | 0.7222 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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