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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: 0.2454
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9842 | 1.0 | 6 | 2.2874 |
| 2.0465 | 2.0 | 12 | 1.7769 |
| 1.5772 | 3.0 | 18 | 1.3812 |
| 1.3006 | 4.0 | 24 | 1.1717 |
| 1.0791 | 5.0 | 30 | 0.9973 |
| 0.9229 | 6.0 | 36 | 0.9593 |
| 0.8693 | 7.0 | 42 | 0.8263 |
| 0.7761 | 8.0 | 48 | 0.7712 |
| 0.7538 | 9.0 | 54 | 0.7099 |
| 0.6978 | 10.0 | 60 | 0.6758 |
| 0.6444 | 11.0 | 66 | 0.6319 |
| 0.6149 | 12.0 | 72 | 0.6014 |
| 0.5944 | 13.0 | 78 | 0.6130 |
| 0.5737 | 14.0 | 84 | 0.6018 |
| 0.5763 | 15.0 | 90 | 0.5680 |
| 0.5335 | 16.0 | 96 | 0.5525 |
| 0.5281 | 17.0 | 102 | 0.5220 |
| 0.4979 | 18.0 | 108 | 0.4794 |
| 0.4668 | 19.0 | 114 | 0.4779 |
| 0.4612 | 20.0 | 120 | 0.4558 |
| 0.4527 | 21.0 | 126 | 0.4302 |
| 0.4214 | 22.0 | 132 | 0.4414 |
| 0.4221 | 23.0 | 138 | 0.4328 |
| 0.4271 | 24.0 | 144 | 0.4047 |
| 0.4004 | 25.0 | 150 | 0.3844 |
| 0.3744 | 26.0 | 156 | 0.3687 |
| 0.3655 | 27.0 | 162 | 0.3484 |
| 0.3312 | 28.0 | 168 | 0.3504 |
| 0.3473 | 29.0 | 174 | 0.3289 |
| 0.3368 | 30.0 | 180 | 0.3246 |
| 0.3171 | 31.0 | 186 | 0.3189 |
| 0.3205 | 32.0 | 192 | 0.2958 |
| 0.3108 | 33.0 | 198 | 0.2881 |
| 0.2943 | 34.0 | 204 | 0.2756 |
| 0.2926 | 35.0 | 210 | 0.2699 |
| 0.2803 | 36.0 | 216 | 0.2594 |
| 0.2794 | 37.0 | 222 | 0.2539 |
| 0.2826 | 38.0 | 228 | 0.2501 |
| 0.272 | 39.0 | 234 | 0.2475 |
| 0.2576 | 40.0 | 240 | 0.2454 |
### Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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