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# S5_M1_f5_AST_42808593

This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0145
- Accuracy: 0.9976

## 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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.0012        | 1.0   | 368  | 0.0114          | 0.9976   |
| 0.0034        | 2.0   | 737  | 0.0147          | 0.9976   |
| 0.0001        | 3.0   | 1105 | 0.0085          | 0.9968   |
| 0.0           | 4.0   | 1474 | 0.0139          | 0.9976   |
| 0.0           | 4.99  | 1840 | 0.0145          | 0.9976   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.13.3

{"license": "bsd-3-clause", "tags": ["generated_from_trainer"], "metrics": ["accuracy"], "base_model": "MIT/ast-finetuned-audioset-10-10-0.4593", "model-index": [{"name": "S5_M1_f5_AST_42808593", "results": []}]}
transformers pytorch audio-spectrogram-transformer audio-classification generated_from_trainer base_model:MIT/ast-finetuned-audioset-10-10-0.4593 license:bsd-3-clause endpoints_compatible region:us