---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: urban_sounds_classification_Model
  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. -->

# urban_sounds_classification_Model

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7128
- Accuracy: 0.8019

## 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: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.4464        | 1.0   | 55   | 1.4501          | 0.5965   |
| 1.1235        | 2.0   | 110  | 1.2883          | 0.6285   |
| 1.0447        | 3.0   | 165  | 1.1324          | 0.6691   |
| 0.768         | 4.0   | 220  | 1.0824          | 0.6651   |
| 0.7529        | 5.0   | 275  | 0.9645          | 0.7172   |
| 0.6759        | 6.0   | 330  | 0.9236          | 0.7355   |
| 0.5837        | 7.0   | 385  | 0.7909          | 0.7653   |
| 0.5465        | 8.0   | 440  | 0.7330          | 0.7922   |
| 0.5112        | 9.0   | 495  | 0.7152          | 0.7997   |
| 0.4747        | 10.0  | 550  | 0.7128          | 0.8019   |


### Framework versions

- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2