File size: 3,311 Bytes
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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: 0.0811
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9776 | 1.0 | 6 | 2.2338 |
| 2.0137 | 2.0 | 12 | 1.7343 |
| 1.5786 | 3.0 | 18 | 1.3472 |
| 1.2457 | 4.0 | 24 | 1.0998 |
| 1.0472 | 5.0 | 30 | 1.0031 |
| 0.9384 | 6.0 | 36 | 0.8653 |
| 0.8173 | 7.0 | 42 | 0.7479 |
| 0.7478 | 8.0 | 48 | 0.7076 |
| 0.6777 | 9.0 | 54 | 0.6401 |
| 0.6439 | 10.0 | 60 | 0.5758 |
| 0.5733 | 11.0 | 66 | 0.5338 |
| 0.5459 | 12.0 | 72 | 0.5289 |
| 0.5389 | 13.0 | 78 | 0.4816 |
| 0.4900 | 14.0 | 84 | 0.4525 |
| 0.4634 | 15.0 | 90 | 0.4408 |
| 0.4486 | 16.0 | 96 | 0.4086 |
| 0.4222 | 17.0 | 102 | 0.3999 |
| 0.4134 | 18.0 | 108 | 0.3542 |
| 0.3664 | 19.0 | 114 | 0.3412 |
| 0.3552 | 20.0 | 120 | 0.3342 |
| 0.3430 | 21.0 | 126 | 0.2933 |
| 0.3136 | 22.0 | 132 | 0.2505 |
| 0.2884 | 23.0 | 138 | 0.2319 |
| 0.2694 | 24.0 | 144 | 0.2140 |
| 0.2444 | 25.0 | 150 | 0.1982 |
| 0.2260 | 26.0 | 156 | 0.1673 |
| 0.2047 | 27.0 | 162 | 0.1553 |
| 0.2054 | 28.0 | 168 | 0.1375 |
| 0.1868 | 29.0 | 174 | 0.1267 |
| 0.1679 | 30.0 | 180 | 0.1165 |
| 0.1555 | 31.0 | 186 | 0.1120 |
| 0.1533 | 32.0 | 192 | 0.1032 |
| 0.1422 | 33.0 | 198 | 0.0982 |
| 0.1332 | 34.0 | 204 | 0.0978 |
| 0.1335 | 35.0 | 210 | 0.0920 |
| 0.1256 | 36.0 | 216 | 0.0900 |
| 0.1311 | 37.0 | 222 | 0.0879 |
| 0.1185 | 38.0 | 228 | 0.0830 |
| 0.1171 | 39.0 | 234 | 0.0816 |
| 0.1154 | 40.0 | 240 | 0.0811 |
### Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
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