---
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: romanian-dialects
  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. -->

# romanian-dialects

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: 0.6475
- Accuracy: 0.7852
- Precision: 0.7944
- Recall: 0.7944
- F1: 0.7901

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 14

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
| 1.343         | 1.0   | 217  | 1.3967          | 0.4088   | 0.2294    | 0.3723 | 0.2676 |
| 1.2531        | 2.0   | 434  | 1.0872          | 0.5150   | 0.6858    | 0.4909 | 0.4907 |
| 1.0475        | 3.0   | 651  | 1.0740          | 0.5219   | 0.6920    | 0.5005 | 0.4970 |
| 0.961         | 4.0   | 868  | 0.8763          | 0.6467   | 0.6808    | 0.6504 | 0.6587 |
| 0.9544        | 5.0   | 1085 | 0.9147          | 0.6351   | 0.6712    | 0.6401 | 0.6220 |
| 0.9991        | 6.0   | 1302 | 0.8161          | 0.6882   | 0.7471    | 0.6808 | 0.6952 |
| 0.7222        | 7.0   | 1519 | 0.7405          | 0.7044   | 0.7430    | 0.7117 | 0.7196 |
| 0.8498        | 8.0   | 1736 | 0.6856          | 0.7136   | 0.7309    | 0.7267 | 0.7262 |
| 0.6647        | 9.0   | 1953 | 0.6642          | 0.7529   | 0.7772    | 0.7553 | 0.7602 |
| 0.7179        | 10.0  | 2170 | 0.7459          | 0.7367   | 0.7712    | 0.7570 | 0.7483 |
| 0.6257        | 11.0  | 2387 | 0.6373          | 0.7460   | 0.7710    | 0.7496 | 0.7570 |
| 0.5433        | 12.0  | 2604 | 0.6549          | 0.7667   | 0.7744    | 0.7802 | 0.7738 |
| 0.3504        | 13.0  | 2821 | 0.6475          | 0.7852   | 0.7944    | 0.7944 | 0.7901 |
| 0.5599        | 14.0  | 3038 | 0.6033          | 0.7783   | 0.7831    | 0.7822 | 0.7819 |


### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0