---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: car-class-classification
  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. -->

# car-class-classification

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0821
- Accuracy: 0.6957

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 6    | 2.0896          | 0.4348   |
| No log        | 2.0   | 12   | 1.8890          | 0.4348   |
| No log        | 3.0   | 18   | 1.7669          | 0.5652   |
| No log        | 4.0   | 24   | 1.5707          | 0.6957   |
| No log        | 5.0   | 30   | 1.4176          | 0.6522   |
| No log        | 6.0   | 36   | 1.2799          | 0.6522   |
| No log        | 7.0   | 42   | 1.1758          | 0.6522   |
| No log        | 8.0   | 48   | 1.1255          | 0.6522   |
| No log        | 9.0   | 54   | 1.0973          | 0.6957   |
| No log        | 10.0  | 60   | 1.0821          | 0.6957   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1