---
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: 0.6494

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.41          | 1.0   | 6    | 2.7285          |
| 2.3554        | 2.0   | 12   | 1.9345          |
| 1.7997        | 3.0   | 18   | 1.7097          |
| 1.6321        | 4.0   | 24   | 1.5813          |
| 1.5569        | 5.0   | 30   | 1.5555          |
| 1.5351        | 6.0   | 36   | 1.5315          |
| 1.5153        | 7.0   | 42   | 1.4900          |
| 1.4628        | 8.0   | 48   | 1.4687          |
| 1.4525        | 9.0   | 54   | 1.4173          |
| 1.4163        | 10.0  | 60   | 1.4669          |
| 1.4614        | 11.0  | 66   | 1.4160          |
| 1.4123        | 12.0  | 72   | 1.5650          |
| 1.4659        | 13.0  | 78   | 1.3993          |
| 1.3836        | 14.0  | 84   | 1.3573          |
| 1.3294        | 15.0  | 90   | 1.2931          |
| 1.2608        | 16.0  | 96   | 1.2117          |
| 1.1995        | 17.0  | 102  | 1.1448          |
| 1.128         | 18.0  | 108  | 1.0709          |
| 1.0898        | 19.0  | 114  | 1.0349          |
| 1.0419        | 20.0  | 120  | 0.9931          |
| 1.0328        | 21.0  | 126  | 0.9382          |
| 0.977         | 22.0  | 132  | 0.9141          |
| 0.9489        | 23.0  | 138  | 0.8951          |
| 0.909         | 24.0  | 144  | 0.8683          |
| 0.8942        | 25.0  | 150  | 0.8752          |
| 0.879         | 26.0  | 156  | 0.8352          |
| 0.8636        | 27.0  | 162  | 0.7924          |
| 0.836         | 28.0  | 168  | 0.7670          |
| 0.8144        | 29.0  | 174  | 0.7784          |
| 0.7994        | 30.0  | 180  | 0.7718          |
| 0.8059        | 31.0  | 186  | 0.7409          |
| 0.8033        | 32.0  | 192  | 0.7347          |
| 0.7942        | 33.0  | 198  | 0.7163          |
| 0.7723        | 34.0  | 204  | 0.6903          |
| 0.7396        | 35.0  | 210  | 0.6846          |
| 0.7462        | 36.0  | 216  | 0.6722          |
| 0.7344        | 37.0  | 222  | 0.6712          |
| 0.728         | 38.0  | 228  | 0.6564          |
| 0.7185        | 39.0  | 234  | 0.6536          |
| 0.7316        | 40.0  | 240  | 0.6494          |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.4.0
- Tokenizers 0.20.3