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---
library_name: transformers
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: 0.6494
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.41 | 1.0 | 6 | 2.7285 |
| 2.3554 | 2.0 | 12 | 1.9345 |
| 1.7997 | 3.0 | 18 | 1.7097 |
| 1.6321 | 4.0 | 24 | 1.5813 |
| 1.5569 | 5.0 | 30 | 1.5555 |
| 1.5351 | 6.0 | 36 | 1.5315 |
| 1.5153 | 7.0 | 42 | 1.4900 |
| 1.4628 | 8.0 | 48 | 1.4687 |
| 1.4525 | 9.0 | 54 | 1.4173 |
| 1.4163 | 10.0 | 60 | 1.4669 |
| 1.4614 | 11.0 | 66 | 1.4160 |
| 1.4123 | 12.0 | 72 | 1.5650 |
| 1.4659 | 13.0 | 78 | 1.3993 |
| 1.3836 | 14.0 | 84 | 1.3573 |
| 1.3294 | 15.0 | 90 | 1.2931 |
| 1.2608 | 16.0 | 96 | 1.2117 |
| 1.1995 | 17.0 | 102 | 1.1448 |
| 1.128 | 18.0 | 108 | 1.0709 |
| 1.0898 | 19.0 | 114 | 1.0349 |
| 1.0419 | 20.0 | 120 | 0.9931 |
| 1.0328 | 21.0 | 126 | 0.9382 |
| 0.977 | 22.0 | 132 | 0.9141 |
| 0.9489 | 23.0 | 138 | 0.8951 |
| 0.909 | 24.0 | 144 | 0.8683 |
| 0.8942 | 25.0 | 150 | 0.8752 |
| 0.879 | 26.0 | 156 | 0.8352 |
| 0.8636 | 27.0 | 162 | 0.7924 |
| 0.836 | 28.0 | 168 | 0.7670 |
| 0.8144 | 29.0 | 174 | 0.7784 |
| 0.7994 | 30.0 | 180 | 0.7718 |
| 0.8059 | 31.0 | 186 | 0.7409 |
| 0.8033 | 32.0 | 192 | 0.7347 |
| 0.7942 | 33.0 | 198 | 0.7163 |
| 0.7723 | 34.0 | 204 | 0.6903 |
| 0.7396 | 35.0 | 210 | 0.6846 |
| 0.7462 | 36.0 | 216 | 0.6722 |
| 0.7344 | 37.0 | 222 | 0.6712 |
| 0.728 | 38.0 | 228 | 0.6564 |
| 0.7185 | 39.0 | 234 | 0.6536 |
| 0.7316 | 40.0 | 240 | 0.6494 |
### Framework versions
- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.20.3
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