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

# my_model

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: 2.6403
- Accuracy: 0.0672

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.6453        | 1.0   | 30   | 2.6434          | 0.0336   |
| 2.6503        | 2.0   | 60   | 2.6434          | 0.0840   |
| 2.649         | 3.0   | 90   | 2.6506          | 0.0588   |
| 2.6433        | 4.0   | 120  | 2.6488          | 0.0924   |
| 2.6252        | 5.0   | 150  | 2.6514          | 0.1008   |
| 2.6123        | 6.0   | 180  | 2.6542          | 0.0840   |
| 2.6167        | 7.0   | 210  | 2.6520          | 0.0840   |
| 2.6051        | 8.0   | 240  | 2.6461          | 0.0588   |
| 2.5975        | 9.0   | 270  | 2.6402          | 0.1345   |
| 2.5809        | 10.0  | 300  | 2.6403          | 0.0672   |


### Framework versions

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