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---
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
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