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# focal-patacotron

This model is a fine-tuned version of [microsoft/focalnet-small](https://huggingface.co/microsoft/focalnet-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0897
- Accuracy: 0.9659

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0575        | 0.97  | 24   | 0.1208          | 0.9545   |
| 0.0275        | 1.94  | 48   | 0.0897          | 0.9659   |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3

patacon-false patacon-true