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# Dataset

This model is a fine-tuned version of [fsuarez/autotrain-logo-identifier-90194144191](https://huggingface.co/fsuarez/autotrain-logo-identifier-90194144191) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6349
- Accuracy: 0.8454

## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 0.92  | 6    | 1.4439          | 0.6522   |
| 2.5328        | 2.0   | 13   | 0.6303          | 0.8744   |
| 2.5328        | 2.77  | 18   | 0.6349          | 0.8454   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cpu
- Datasets 2.18.0
- Tokenizers 0.15.2

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