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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: 0.2019
## 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_FUSED 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8957 | 1.0 | 6 | 2.2381 |
| 2.0146 | 2.0 | 12 | 1.7705 |
| 1.6197 | 3.0 | 18 | 1.4439 |
| 1.2979 | 4.0 | 24 | 1.2227 |
| 1.1103 | 5.0 | 30 | 1.0364 |
| 0.9847 | 6.0 | 36 | 0.9059 |
| 0.8452 | 7.0 | 42 | 0.8222 |
| 0.7736 | 8.0 | 48 | 0.7130 |
| 0.7047 | 9.0 | 54 | 0.7146 |
| 0.6887 | 10.0 | 60 | 0.6280 |
| 0.6119 | 11.0 | 66 | 0.5824 |
| 0.5802 | 12.0 | 72 | 0.5667 |
| 0.5312 | 13.0 | 78 | 0.5148 |
| 0.5067 | 14.0 | 84 | 0.4975 |
| 0.4947 | 15.0 | 90 | 0.4650 |
| 0.4716 | 16.0 | 96 | 0.4645 |
| 0.4669 | 17.0 | 102 | 0.4134 |
| 0.4348 | 18.0 | 108 | 0.4056 |
| 0.4105 | 19.0 | 114 | 0.4091 |
| 0.4158 | 20.0 | 120 | 0.3917 |
| 0.3862 | 21.0 | 126 | 0.3704 |
| 0.3753 | 22.0 | 132 | 0.3581 |
| 0.3624 | 23.0 | 138 | 0.3444 |
| 0.3557 | 24.0 | 144 | 0.3281 |
| 0.3335 | 25.0 | 150 | 0.3180 |
| 0.3240 | 26.0 | 156 | 0.3008 |
| 0.3181 | 27.0 | 162 | 0.2858 |
| 0.3069 | 28.0 | 168 | 0.2820 |
| 0.2978 | 29.0 | 174 | 0.2660 |
| 0.2866 | 30.0 | 180 | 0.2594 |
| 0.2688 | 31.0 | 186 | 0.2464 |
| 0.2642 | 32.0 | 192 | 0.2372 |
| 0.2520 | 33.0 | 198 | 0.2307 |
| 0.2484 | 34.0 | 204 | 0.2216 |
| 0.2392 | 35.0 | 210 | 0.2195 |
| 0.2458 | 36.0 | 216 | 0.2128 |
| 0.2513 | 37.0 | 222 | 0.2108 |
| 0.2287 | 38.0 | 228 | 0.2072 |
| 0.2331 | 39.0 | 234 | 0.2034 |
| 0.2344 | 40.0 | 240 | 0.2019 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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