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# swin-base-patch4-window7-224-finetuned-dsc

This model is a fine-tuned version of [microsoft/swin-base-patch4-window7-224](https://huggingface.co/microsoft/swin-base-patch4-window7-224) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5970
- F1: 0.6883

## 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: 1e-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: 7

### Training results

| Training Loss | Epoch  | Step | Validation Loss | F1     |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.516         | 0.9963 | 67   | 0.5966          | 0.6873 |
| 0.5235        | 1.9926 | 134  | 0.5976          | 0.6850 |
| 0.5327        | 2.9888 | 201  | 0.5961          | 0.6873 |
| 0.5494        | 4.0    | 269  | 0.5996          | 0.6850 |
| 0.5238        | 4.9963 | 336  | 0.5970          | 0.6883 |
| 0.522         | 5.9926 | 403  | 0.6024          | 0.6813 |
| 0.5134        | 6.9740 | 469  | 0.5974          | 0.6869 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0

not-sarcasm sarcasm