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# resnet50-finetuned-memes

This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0625
- Accuracy: 0.5742

## 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: 0.00012
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4795        | 0.99  | 40   | 1.4641          | 0.4382   |
| 1.3455        | 1.99  | 80   | 1.3281          | 0.4389   |
| 1.262         | 2.99  | 120  | 1.2583          | 0.4583   |
| 1.1975        | 3.99  | 160  | 1.1978          | 0.4876   |
| 1.1358        | 4.99  | 200  | 1.1614          | 0.5139   |
| 1.1273        | 5.99  | 240  | 1.1316          | 0.5379   |
| 1.0379        | 6.99  | 280  | 1.1024          | 0.5464   |
| 1.041         | 7.99  | 320  | 1.0927          | 0.5580   |
| 0.9952        | 8.99  | 360  | 1.0790          | 0.5541   |
| 1.0146        | 9.99  | 400  | 1.0625          | 0.5742   |


### Framework versions

- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1

bollywood memes industrialist political memes singer memes sports memes