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# danbooru-effnet

This model is a fine-tuned version of [google/efficientnet-b3](https://huggingface.co/google/efficientnet-b3) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3229
- Accuracy: 0.8810

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.9823        | 1.0   | 86   | 1.3710          | 0.7734   |
| 0.4826        | 1.99  | 172  | 0.4535          | 0.8378   |
| 0.4562        | 2.99  | 258  | 0.3866          | 0.8525   |
| 0.4149        | 4.0   | 345  | 0.3690          | 0.8533   |
| 0.3943        | 5.0   | 431  | 0.3443          | 0.8688   |
| 0.394         | 5.99  | 517  | 0.3362          | 0.8794   |
| 0.3416        | 6.99  | 603  | 0.3392          | 0.8712   |
| 0.3644        | 8.0   | 690  | 0.3335          | 0.8753   |
| 0.3581        | 9.0   | 776  | 0.3229          | 0.8810   |
| 0.3414        | 9.97  | 860  | 0.3369          | 0.8745   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "google/efficientnet-b3", "model-index": [{"name": "danbooru-effnet", "results": []}]}
transformers safetensors efficientnet image-classification generated_from_trainer base_model:google/efficientnet-b3 license:apache-2.0 autotrain_compatible endpoints_compatible region:us