---
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: 0.8108

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3648        | 1.0   | 6    | 2.7465          |
| 2.3708        | 2.0   | 12   | 2.0172          |
| 1.8554        | 3.0   | 18   | 1.7507          |
| 1.6599        | 4.0   | 24   | 1.6101          |
| 1.5513        | 5.0   | 30   | 1.6004          |
| 1.5494        | 6.0   | 36   | 1.5314          |
| 1.5147        | 7.0   | 42   | 1.6012          |
| 1.5361        | 8.0   | 48   | 1.9344          |
| 1.5928        | 9.0   | 54   | 1.5257          |
| 1.5114        | 10.0  | 60   | 1.5045          |
| 1.457         | 11.0  | 66   | 1.4829          |
| 1.4053        | 12.0  | 72   | 1.4635          |
| 1.4049        | 13.0  | 78   | 1.4393          |
| 1.4052        | 14.0  | 84   | 1.3878          |
| 1.3437        | 15.0  | 90   | 1.3503          |
| 1.3226        | 16.0  | 96   | 1.3059          |
| 1.2817        | 17.0  | 102  | 1.2379          |
| 1.2255        | 18.0  | 108  | 1.1771          |
| 1.1717        | 19.0  | 114  | 1.2811          |
| 1.2039        | 20.0  | 120  | 1.3512          |
| 1.2312        | 21.0  | 126  | 1.2075          |
| 1.1481        | 22.0  | 132  | 1.0787          |
| 1.091         | 23.0  | 138  | 1.0809          |
| 1.0598        | 24.0  | 144  | 1.0479          |
| 1.0649        | 25.0  | 150  | 1.0148          |
| 1.0172        | 26.0  | 156  | 1.0194          |
| 1.0004        | 27.0  | 162  | 0.9618          |
| 0.9639        | 28.0  | 168  | 0.9565          |
| 0.9461        | 29.0  | 174  | 0.9197          |
| 0.9112        | 30.0  | 180  | 0.9280          |
| 0.9397        | 31.0  | 186  | 0.8850          |
| 0.8829        | 32.0  | 192  | 0.8936          |
| 0.8869        | 33.0  | 198  | 0.9086          |
| 0.8956        | 34.0  | 204  | 0.8656          |
| 0.8672        | 35.0  | 210  | 0.8579          |
| 0.8427        | 36.0  | 216  | 0.8305          |
| 0.8538        | 37.0  | 222  | 0.8312          |
| 0.83          | 38.0  | 228  | 0.8179          |
| 0.8411        | 39.0  | 234  | 0.8124          |
| 0.8238        | 40.0  | 240  | 0.8108          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2