---
license: apache-2.0
base_model: facebook/wav2vec2-large-xlsr-53
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: wav2vec_new
  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. -->

# wav2vec_new

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: 0.2743
- Wer: 0.1376
- Cer: 0.1333

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 32.6273       | 1.0   | 26   | 32.5059         | 0.9394 | 0.7539 |
| 27.4795       | 2.0   | 52   | 22.9788         | 0.9996 | 0.9996 |
| 16.8834       | 3.0   | 78   | 7.6200          | 1.0    | 1.0    |
| 6.2939        | 4.0   | 104  | 4.0929          | 1.0    | 1.0    |
| 3.5881        | 5.0   | 130  | 3.4107          | 1.0    | 1.0    |
| 3.3449        | 6.0   | 156  | 3.2649          | 1.0    | 1.0    |
| 3.2703        | 7.0   | 182  | 3.2285          | 1.0    | 1.0    |
| 3.253         | 8.0   | 208  | 3.2188          | 1.0    | 1.0    |
| 3.2074        | 9.0   | 234  | 3.1777          | 1.0    | 1.0    |
| 3.2992        | 10.0  | 260  | 3.1773          | 1.0    | 1.0    |
| 3.2007        | 11.0  | 286  | 3.1827          | 1.0    | 1.0    |
| 3.1878        | 12.0  | 312  | 3.1493          | 1.0    | 1.0    |
| 3.1495        | 13.0  | 338  | 3.0784          | 1.0    | 1.0    |
| 3.082         | 14.0  | 364  | 2.9135          | 1.0    | 1.0    |
| 2.8619        | 15.0  | 390  | 2.7388          | 1.0    | 1.0    |
| 2.6435        | 16.0  | 416  | 2.4690          | 0.8928 | 0.9056 |
| 2.0885        | 17.0  | 442  | 1.7109          | 0.8447 | 0.8546 |
| 1.622         | 18.0  | 468  | 1.0533          | 0.4430 | 0.4414 |
| 0.8878        | 19.0  | 494  | 0.5311          | 0.2669 | 0.2651 |
| 0.4516        | 20.0  | 520  | 0.2743          | 0.1376 | 0.1333 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1