---
license: bsd-3-clause
tags:
- audio-classification
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: distil-ast-audioset-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# distil-ast-audioset-2

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 bookbot/audioset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3063
- F1: 0.4876
- Roc Auc: 0.7140
- Accuracy: 0.0714
- Map: 0.4743

## 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: 32
- eval_batch_size: 32
- seed: 0
- 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: 10.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy | Map    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:------:|
| 1.5521        | 1.0   | 153  | 0.7759          | 0.3929 | 0.6789  | 0.0209   | 0.3394 |
| 0.7088        | 2.0   | 306  | 0.5183          | 0.4480 | 0.7162  | 0.0349   | 0.4047 |
| 0.484         | 3.0   | 459  | 0.4342          | 0.4673 | 0.7241  | 0.0447   | 0.4348 |
| 0.369         | 4.0   | 612  | 0.3847          | 0.4777 | 0.7332  | 0.0504   | 0.4463 |
| 0.2943        | 5.0   | 765  | 0.3587          | 0.4838 | 0.7284  | 0.0572   | 0.4556 |
| 0.2446        | 6.0   | 918  | 0.3415          | 0.4875 | 0.7296  | 0.0608   | 0.4628 |
| 0.2099        | 7.0   | 1071 | 0.3273          | 0.4896 | 0.7246  | 0.0648   | 0.4682 |
| 0.186         | 8.0   | 1224 | 0.3140          | 0.4888 | 0.7171  | 0.0689   | 0.4711 |
| 0.1693        | 9.0   | 1377 | 0.3101          | 0.4887 | 0.7157  | 0.0703   | 0.4741 |
| 0.1582        | 10.0  | 1530 | 0.3063          | 0.4876 | 0.7140  | 0.0714   | 0.4743 |


### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2