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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: 0.8108
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3648 | 1.0 | 6 | 2.7465 |
| 2.3708 | 2.0 | 12 | 2.0172 |
| 1.8554 | 3.0 | 18 | 1.7507 |
| 1.6599 | 4.0 | 24 | 1.6101 |
| 1.5513 | 5.0 | 30 | 1.6004 |
| 1.5494 | 6.0 | 36 | 1.5314 |
| 1.5147 | 7.0 | 42 | 1.6012 |
| 1.5361 | 8.0 | 48 | 1.9344 |
| 1.5928 | 9.0 | 54 | 1.5257 |
| 1.5114 | 10.0 | 60 | 1.5045 |
| 1.457 | 11.0 | 66 | 1.4829 |
| 1.4053 | 12.0 | 72 | 1.4635 |
| 1.4049 | 13.0 | 78 | 1.4393 |
| 1.4052 | 14.0 | 84 | 1.3878 |
| 1.3437 | 15.0 | 90 | 1.3503 |
| 1.3226 | 16.0 | 96 | 1.3059 |
| 1.2817 | 17.0 | 102 | 1.2379 |
| 1.2255 | 18.0 | 108 | 1.1771 |
| 1.1717 | 19.0 | 114 | 1.2811 |
| 1.2039 | 20.0 | 120 | 1.3512 |
| 1.2312 | 21.0 | 126 | 1.2075 |
| 1.1481 | 22.0 | 132 | 1.0787 |
| 1.091 | 23.0 | 138 | 1.0809 |
| 1.0598 | 24.0 | 144 | 1.0479 |
| 1.0649 | 25.0 | 150 | 1.0148 |
| 1.0172 | 26.0 | 156 | 1.0194 |
| 1.0004 | 27.0 | 162 | 0.9618 |
| 0.9639 | 28.0 | 168 | 0.9565 |
| 0.9461 | 29.0 | 174 | 0.9197 |
| 0.9112 | 30.0 | 180 | 0.9280 |
| 0.9397 | 31.0 | 186 | 0.8850 |
| 0.8829 | 32.0 | 192 | 0.8936 |
| 0.8869 | 33.0 | 198 | 0.9086 |
| 0.8956 | 34.0 | 204 | 0.8656 |
| 0.8672 | 35.0 | 210 | 0.8579 |
| 0.8427 | 36.0 | 216 | 0.8305 |
| 0.8538 | 37.0 | 222 | 0.8312 |
| 0.83 | 38.0 | 228 | 0.8179 |
| 0.8411 | 39.0 | 234 | 0.8124 |
| 0.8238 | 40.0 | 240 | 0.8108 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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