---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-large-xlsr-53-dialect-classifier
  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. -->

# wav2vec2-large-xlsr-53-dialect-classifier

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3693
- Accuracy: 0.3605

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3719        | 0.98  | 21   | 1.3693          | 0.3605   |
| 1.371         | 2.0   | 43   | 1.3652          | 0.3605   |
| 1.3638        | 2.98  | 64   | 1.3588          | 0.3605   |
| 1.3571        | 4.0   | 86   | 1.3508          | 0.3605   |
| 1.3446        | 4.98  | 107  | 1.3440          | 0.3605   |
| 1.3399        | 6.0   | 129  | 1.3388          | 0.3605   |
| 1.3303        | 6.98  | 150  | 1.3340          | 0.3605   |
| 1.3305        | 8.0   | 172  | 1.3305          | 0.3605   |
| 1.334         | 8.98  | 193  | 1.3267          | 0.3605   |
| 1.3303        | 10.0  | 215  | 1.3232          | 0.3605   |
| 1.3241        | 10.98 | 236  | 1.3205          | 0.3605   |
| 1.317         | 12.0  | 258  | 1.3183          | 0.3605   |
| 1.3239        | 12.98 | 279  | 1.3161          | 0.3605   |
| 1.3169        | 14.0  | 301  | 1.3144          | 0.3605   |
| 1.3129        | 14.98 | 322  | 1.3128          | 0.3605   |
| 1.3112        | 16.0  | 344  | 1.3115          | 0.3605   |
| 1.3231        | 16.98 | 365  | 1.3107          | 0.3605   |
| 1.3115        | 18.0  | 387  | 1.3099          | 0.3605   |
| 1.3082        | 18.98 | 408  | 1.3092          | 0.3605   |
| 1.3228        | 20.0  | 430  | 1.3085          | 0.3605   |
| 1.2872        | 20.98 | 451  | 1.3080          | 0.3605   |
| 1.2744        | 22.0  | 473  | 1.3075          | 0.3605   |
| 1.2835        | 22.98 | 494  | 1.3070          | 0.3605   |
| 1.3213        | 24.0  | 516  | 1.3068          | 0.3605   |
| 1.3112        | 24.98 | 537  | 1.3065          | 0.3605   |
| 1.3047        | 26.0  | 559  | 1.3062          | 0.3605   |
| 1.29          | 26.98 | 580  | 1.3061          | 0.3605   |
| 1.3114        | 28.0  | 602  | 1.3060          | 0.3605   |
| 1.3123        | 28.98 | 623  | 1.3060          | 0.3605   |
| 1.3217        | 29.3  | 630  | 1.3060          | 0.3605   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2