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# distil-ast-audioset-tb-2968225-gamma-.5

This model is a fine-tuned version of [audiblehealthai/distil-ast-audioset-tb-2968225](https://huggingface.co/audiblehealthai/distil-ast-audioset-tb-2968225) on the audiblehealthai/tb-2968225 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4074
- Best F1: 0.4661
- Best Thr: 0.2925
- Ppa: 0.7463
- Npa: 0.4695
- Prob Mean: 0.3407
- Prob Std: 0.1500
- Prob Skewness: 0.4136
- Prob Kurtosis: -0.3753
- Pr Auc: 0.3870
- Roc Auc: 0.6456
- Accuracy: 0.5431
- F1: 0.4651
- Precision: 0.3378
- Recall: 0.7463

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Best F1 | Best Thr | Ppa    | Npa    | Prob Mean | Prob Std | Prob Skewness | Prob Kurtosis | Pr Auc | Roc Auc | Accuracy | F1     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:--------:|:------:|:------:|:---------:|:--------:|:-------------:|:-------------:|:------:|:-------:|:--------:|:------:|:---------:|:------:|
| 0.3802        | 0.08  | 10   | 0.4666          | 0.4515  | 0.1562   | 0.6930 | 0.4981 | 0.1984    | 0.1212   | 1.0469        | 1.0205        | 0.3573 | 0.6239  | 0.5499   | 0.4505 | 0.3337    | 0.6930 |
| 0.3761        | 0.15  | 20   | 0.4082          | 0.4637  | 0.2889   | 0.5906 | 0.6504 | 0.2762    | 0.1262   | 0.6053        | 0.0396        | 0.3844 | 0.6383  | 0.6345   | 0.4624 | 0.3800    | 0.5906 |
| 0.3579        | 0.23  | 30   | 0.4074          | 0.4661  | 0.2925   | 0.7463 | 0.4695 | 0.3407    | 0.1500   | 0.4136        | -0.3753       | 0.3870 | 0.6456  | 0.5431   | 0.4651 | 0.3378    | 0.7463 |
| 0.3419        | 0.3   | 40   | 0.4223          | 0.4396  | 0.1645   | 0.8742 | 0.2343 | 0.2808    | 0.1347   | 0.6235        | -0.0298       | 0.3613 | 0.6110  | 0.4047   | 0.4387 | 0.2929    | 0.8742 |
| 0.3641        | 0.38  | 50   | 0.4578          | 0.4217  | 0.0735   | 0.9915 | 0.0139 | 0.3690    | 0.1621   | 0.2149        | -0.6528       | 0.3292 | 0.5696  | 0.2741   | 0.4210 | 0.2672    | 0.9915 |
| 0.3664        | 0.45  | 60   | 0.4597          | 0.4416  | 0.1665   | 0.7036 | 0.4594 | 0.2113    | 0.1178   | 0.8908        | 0.6592        | 0.3397 | 0.6081  | 0.5244   | 0.4406 | 0.3207    | 0.7036 |
| 0.3491        | 0.53  | 70   | 0.5162          | 0.4438  | 0.1312   | 0.6716 | 0.5058 | 0.1567    | 0.0925   | 1.0700        | 1.4687        | 0.3296 | 0.6067  | 0.5499   | 0.4427 | 0.3302    | 0.6716 |
| 0.4371        | 0.6   | 80   | 0.4196          | 0.4376  | 0.2873   | 0.8017 | 0.3217 | 0.3619    | 0.1194   | 0.1412        | -0.3360       | 0.3338 | 0.6045  | 0.4495   | 0.4367 | 0.3001    | 0.8017 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.1+cu121
- Datasets 2.12.0
- Tokenizers 0.14.1

{"tags": ["audio-classification", "generated_from_trainer"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "audiblehealthai/distil-ast-audioset-tb-2968225", "model-index": [{"name": "distil-ast-audioset-tb-2968225-gamma-.5", "results": []}]}
transformers pytorch audio-spectrogram-transformer audio-classification generated_from_trainer base_model:audiblehealthai/distil-ast-audioset-tb-2968225 endpoints_compatible region:us