---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audio_cls_hhd2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# audio_cls_hhd2

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9048
- Accuracy: 0.7899

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 15   | 1.4951          | 0.7059   |
| No log        | 2.0   | 30   | 1.2092          | 0.7563   |
| No log        | 3.0   | 45   | 1.0350          | 0.8067   |
| No log        | 4.0   | 60   | 0.9474          | 0.7899   |
| No log        | 5.0   | 75   | 0.9048          | 0.7899   |


### Framework versions

- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 3.6.0
- Tokenizers 0.22.1