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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: 0.6320
## 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
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.6895 | 1.0 | 6 | 3.1719 |
| 2.7383 | 2.0 | 12 | 2.2173 |
| 1.9854 | 3.0 | 18 | 1.7814 |
| 1.6898 | 4.0 | 24 | 1.5993 |
| 1.5871 | 5.0 | 30 | 1.5507 |
| 1.5619 | 6.0 | 36 | 1.5297 |
| 1.5216 | 7.0 | 42 | 1.5010 |
| 1.4893 | 8.0 | 48 | 1.4371 |
| 1.4330 | 9.0 | 54 | 1.3921 |
| 1.3753 | 10.0 | 60 | 1.4316 |
| 1.3430 | 11.0 | 66 | 1.3675 |
| 1.3109 | 12.0 | 72 | 1.3689 |
| 1.3134 | 13.0 | 78 | 1.2672 |
| 1.2309 | 14.0 | 84 | 1.1653 |
| 1.1557 | 15.0 | 90 | 1.1145 |
| 1.1064 | 16.0 | 96 | 1.1759 |
| 1.1231 | 17.0 | 102 | 1.0402 |
| 1.0341 | 18.0 | 108 | 0.9800 |
| 0.9828 | 19.0 | 114 | 0.9416 |
| 0.9655 | 20.0 | 120 | 0.8970 |
| 0.9205 | 21.0 | 126 | 0.9106 |
| 0.9365 | 22.0 | 132 | 0.9576 |
| 0.9380 | 23.0 | 138 | 0.8321 |
| 0.8842 | 24.0 | 144 | 0.8368 |
| 0.8462 | 25.0 | 150 | 0.8256 |
| 0.8407 | 26.0 | 156 | 0.7950 |
| 0.8244 | 27.0 | 162 | 0.7829 |
| 0.7980 | 28.0 | 168 | 0.7511 |
| 0.7729 | 29.0 | 174 | 0.7392 |
| 0.7615 | 30.0 | 180 | 0.7141 |
| 0.7358 | 31.0 | 186 | 0.7183 |
| 0.7271 | 32.0 | 192 | 0.6933 |
| 0.7232 | 33.0 | 198 | 0.6689 |
| 0.7081 | 34.0 | 204 | 0.6842 |
| 0.7174 | 35.0 | 210 | 0.6742 |
| 0.7104 | 36.0 | 216 | 0.6678 |
| 0.7049 | 37.0 | 222 | 0.6516 |
| 0.6813 | 38.0 | 228 | 0.6380 |
| 0.6815 | 39.0 | 234 | 0.6345 |
| 0.6729 | 40.0 | 240 | 0.6320 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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