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library_name: transformers
base_model: pt430187/calculator_model_test
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 [pt430187/calculator_model_test](https://huggingface.co/pt430187/calculator_model_test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6437
## 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: 1e-05
- 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: 60
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7873 | 1.0 | 6 | 0.7304 |
| 0.7842 | 2.0 | 12 | 0.7200 |
| 0.7695 | 3.0 | 18 | 0.7135 |
| 0.7704 | 4.0 | 24 | 0.7096 |
| 0.7592 | 5.0 | 30 | 0.7038 |
| 0.7514 | 6.0 | 36 | 0.7007 |
| 0.7428 | 7.0 | 42 | 0.6986 |
| 0.7328 | 8.0 | 48 | 0.6965 |
| 0.7498 | 9.0 | 54 | 0.6941 |
| 0.7548 | 10.0 | 60 | 0.6917 |
| 0.7523 | 11.0 | 66 | 0.6896 |
| 0.7469 | 12.0 | 72 | 0.6866 |
| 0.7519 | 13.0 | 78 | 0.6841 |
| 0.7429 | 14.0 | 84 | 0.6830 |
| 0.7311 | 15.0 | 90 | 0.6804 |
| 0.7241 | 16.0 | 96 | 0.6775 |
| 0.7400 | 17.0 | 102 | 0.6757 |
| 0.7224 | 18.0 | 108 | 0.6745 |
| 0.7311 | 19.0 | 114 | 0.6741 |
| 0.7377 | 20.0 | 120 | 0.6726 |
| 0.7249 | 21.0 | 126 | 0.6703 |
| 0.7326 | 22.0 | 132 | 0.6688 |
| 0.7181 | 23.0 | 138 | 0.6687 |
| 0.7384 | 24.0 | 144 | 0.6673 |
| 0.7146 | 25.0 | 150 | 0.6649 |
| 0.7232 | 26.0 | 156 | 0.6637 |
| 0.7190 | 27.0 | 162 | 0.6619 |
| 0.7250 | 28.0 | 168 | 0.6599 |
| 0.7236 | 29.0 | 174 | 0.6593 |
| 0.7261 | 30.0 | 180 | 0.6607 |
| 0.7203 | 31.0 | 186 | 0.6592 |
| 0.7278 | 32.0 | 192 | 0.6568 |
| 0.7066 | 33.0 | 198 | 0.6555 |
| 0.7183 | 34.0 | 204 | 0.6544 |
| 0.7074 | 35.0 | 210 | 0.6536 |
| 0.7265 | 36.0 | 216 | 0.6534 |
| 0.7120 | 37.0 | 222 | 0.6529 |
| 0.7215 | 38.0 | 228 | 0.6519 |
| 0.7147 | 39.0 | 234 | 0.6518 |
| 0.7211 | 40.0 | 240 | 0.6516 |
| 0.7143 | 41.0 | 246 | 0.6501 |
| 0.7069 | 42.0 | 252 | 0.6486 |
| 0.7063 | 43.0 | 258 | 0.6479 |
| 0.7090 | 44.0 | 264 | 0.6475 |
| 0.7055 | 45.0 | 270 | 0.6470 |
| 0.7021 | 46.0 | 276 | 0.6468 |
| 0.7142 | 47.0 | 282 | 0.6463 |
| 0.7211 | 48.0 | 288 | 0.6456 |
| 0.7098 | 49.0 | 294 | 0.6453 |
| 0.7150 | 50.0 | 300 | 0.6452 |
| 0.7147 | 51.0 | 306 | 0.6452 |
| 0.7114 | 52.0 | 312 | 0.6451 |
| 0.7076 | 53.0 | 318 | 0.6450 |
| 0.7286 | 54.0 | 324 | 0.6447 |
| 0.7008 | 55.0 | 330 | 0.6445 |
| 0.7004 | 56.0 | 336 | 0.6442 |
| 0.7087 | 57.0 | 342 | 0.6441 |
| 0.6944 | 58.0 | 348 | 0.6439 |
| 0.7045 | 59.0 | 354 | 0.6437 |
| 0.7096 | 60.0 | 360 | 0.6437 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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