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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: 0.7503
## 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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4058 | 1.0 | 6 | 2.7645 |
| 2.3687 | 2.0 | 12 | 2.0460 |
| 1.8458 | 3.0 | 18 | 1.6800 |
| 1.6366 | 4.0 | 24 | 1.5984 |
| 1.5803 | 5.0 | 30 | 1.5635 |
| 1.5446 | 6.0 | 36 | 1.5391 |
| 1.5226 | 7.0 | 42 | 1.5339 |
| 1.5374 | 8.0 | 48 | 1.5383 |
| 1.5543 | 9.0 | 54 | 1.5519 |
| 1.5328 | 10.0 | 60 | 1.6631 |
| 1.5779 | 11.0 | 66 | 1.5271 |
| 1.5112 | 12.0 | 72 | 1.5244 |
| 1.5213 | 13.0 | 78 | 1.4900 |
| 1.5005 | 14.0 | 84 | 1.4802 |
| 1.4843 | 15.0 | 90 | 1.4984 |
| 1.4506 | 16.0 | 96 | 1.4163 |
| 1.4083 | 17.0 | 102 | 1.3781 |
| 1.3669 | 18.0 | 108 | 1.3816 |
| 1.3516 | 19.0 | 114 | 1.2972 |
| 1.293 | 20.0 | 120 | 1.2405 |
| 1.2 | 21.0 | 126 | 1.1689 |
| 1.1558 | 22.0 | 132 | 1.1402 |
| 1.1391 | 23.0 | 138 | 1.0921 |
| 1.0899 | 24.0 | 144 | 1.0230 |
| 1.0309 | 25.0 | 150 | 1.0130 |
| 1.0078 | 26.0 | 156 | 0.9680 |
| 0.987 | 27.0 | 162 | 0.9480 |
| 0.9573 | 28.0 | 168 | 0.9060 |
| 0.9286 | 29.0 | 174 | 0.8876 |
| 0.9278 | 30.0 | 180 | 0.8956 |
| 0.9261 | 31.0 | 186 | 0.8770 |
| 0.8869 | 32.0 | 192 | 0.8407 |
| 0.8674 | 33.0 | 198 | 0.8311 |
| 0.8522 | 34.0 | 204 | 0.8045 |
| 0.8397 | 35.0 | 210 | 0.7907 |
| 0.8271 | 36.0 | 216 | 0.7811 |
| 0.8157 | 37.0 | 222 | 0.7684 |
| 0.8234 | 38.0 | 228 | 0.7593 |
| 0.7975 | 39.0 | 234 | 0.7524 |
| 0.8024 | 40.0 | 240 | 0.7503 |
### Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
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