---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-xls-r-300m
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: audio_cls
  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. -->

# audio_cls

This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.6549
- Accuracy: 0.0336

## 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: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.639         | 1.0   | 30   | 2.6473          | 0.0504   |
| 2.6399        | 2.0   | 60   | 2.6481          | 0.0672   |
| 2.6514        | 3.0   | 90   | 2.6458          | 0.0588   |
| 2.6384        | 4.0   | 120  | 2.6581          | 0.0336   |
| 2.6289        | 5.0   | 150  | 2.6557          | 0.0336   |
| 2.6308        | 6.0   | 180  | 2.6607          | 0.0252   |
| 2.643         | 7.0   | 210  | 2.6600          | 0.0336   |
| 2.648         | 8.0   | 240  | 2.6641          | 0.0336   |
| 2.6333        | 9.0   | 270  | 2.6596          | 0.0336   |
| 2.6289        | 10.0  | 300  | 2.6549          | 0.0336   |


### Framework versions

- Transformers 4.56.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.0