---
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: 0.5945

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4886        | 1.0   | 5    | 2.9077          |
| 2.6030        | 2.0   | 10   | 2.1443          |
| 1.9775        | 3.0   | 15   | 1.7360          |
| 1.6903        | 4.0   | 20   | 1.5977          |
| 1.5862        | 5.0   | 25   | 1.5620          |
| 1.5460        | 6.0   | 30   | 1.5337          |
| 1.5075        | 7.0   | 35   | 1.4873          |
| 1.4838        | 8.0   | 40   | 1.4564          |
| 1.4496        | 9.0   | 45   | 1.4431          |
| 1.4041        | 10.0  | 50   | 1.3911          |
| 1.3950        | 11.0  | 55   | 1.3940          |
| 1.3421        | 12.0  | 60   | 1.3259          |
| 1.3013        | 13.0  | 65   | 1.2902          |
| 1.2550        | 14.0  | 70   | 1.2079          |
| 1.1784        | 15.0  | 75   | 1.1146          |
| 1.1135        | 16.0  | 80   | 1.0629          |
| 1.0583        | 17.0  | 85   | 1.0104          |
| 1.0198        | 18.0  | 90   | 0.9646          |
| 0.9765        | 19.0  | 95   | 0.9315          |
| 0.9386        | 20.0  | 100  | 0.8994          |
| 0.9116        | 21.0  | 105  | 0.8690          |
| 0.8871        | 22.0  | 110  | 0.8332          |
| 0.8702        | 23.0  | 115  | 0.8674          |
| 0.8441        | 24.0  | 120  | 0.7941          |
| 0.8180        | 25.0  | 125  | 0.7898          |
| 0.8022        | 26.0  | 130  | 0.7690          |
| 0.7880        | 27.0  | 135  | 0.7386          |
| 0.7739        | 28.0  | 140  | 0.7302          |
| 0.7618        | 29.0  | 145  | 0.7090          |
| 0.7451        | 30.0  | 150  | 0.7043          |
| 0.7340        | 31.0  | 155  | 0.6951          |
| 0.7240        | 32.0  | 160  | 0.6731          |
| 0.7076        | 33.0  | 165  | 0.6516          |
| 0.6951        | 34.0  | 170  | 0.6469          |
| 0.6846        | 35.0  | 175  | 0.6319          |
| 0.6737        | 36.0  | 180  | 0.6170          |
| 0.6601        | 37.0  | 185  | 0.6103          |
| 0.6558        | 38.0  | 190  | 0.6016          |
| 0.6509        | 39.0  | 195  | 0.5963          |
| 0.6435        | 40.0  | 200  | 0.5945          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cpu
- Datasets 4.0.0
- Tokenizers 0.22.2