---
library_name: transformers
license: bsd-3-clause
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
- f1
model-index:
- name: ast_classifier
  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. -->

# ast_classifier

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: 1.5481
- Accuracy: 0.7269
- Precision: 0.6416
- Recall: 0.9728
- F1: 0.7732

## 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: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 0.4304        | 1.0   | 172  | 0.3436          | 0.8563   | 0.8231    | 0.8913 | 0.8558 |
| 0.2198        | 2.0   | 344  | 1.0337          | 0.6684   | 0.5922    | 0.9864 | 0.7401 |
| 0.1219        | 3.0   | 516  | 0.5469          | 0.8069   | 0.7180    | 0.9823 | 0.8296 |
| 0.0818        | 4.0   | 688  | 1.2336          | 0.7295   | 0.6455    | 0.9647 | 0.7734 |
| 0.0317        | 5.0   | 860  | 1.5481          | 0.7269   | 0.6416    | 0.9728 | 0.7732 |


### Framework versions

- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1