---
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: exp_1715025412
  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. -->

# exp_1715025412

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 an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6403
- Accuracy: 0.8974

## 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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 60
- 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

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
|:-------------:|:------:|:----:|:---------------:|:--------:|
| 0.5131        | 0.9856 | 41   | 0.4401          | 0.8157   |
| 0.2645        | 1.9952 | 83   | 0.3510          | 0.875    |
| 0.2224        | 2.9808 | 124  | 0.3333          | 0.8910   |
| 0.1223        | 3.9904 | 166  | 0.4310          | 0.8830   |
| 0.0721        | 5.0    | 208  | 0.5080          | 0.8830   |
| 0.0059        | 5.9856 | 249  | 0.6021          | 0.8910   |
| 0.001         | 6.9952 | 291  | 0.6082          | 0.8878   |
| 0.0004        | 7.9808 | 332  | 0.6385          | 0.8942   |
| 0.0002        | 8.9904 | 374  | 0.6386          | 0.8958   |
| 0.0003        | 9.8558 | 410  | 0.6403          | 0.8974   |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1