---
language:
- en
base_model: openai/wav2vec2
tags:
- generated_from_trainer
datasets:
- mozilla-foundation/common_voice_11_0
metrics:
- wer
model-index:
- name: BANG WAV2VEC v1 (EN)
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: Radio-Modified Common Voice 11.0
      type: mozilla-foundation/common_voice_11_0
      config: en
      split: test
      args: 'config: en, split: test'
    metrics:
    - name: Wer
      type: wer
      value: 95.72392751479289
---

<!-- 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. -->

# BANG WAV2VEC v1 (EN)

This model is a fine-tuned version of [openai/wav2vec2](https://huggingface.co/openai/wav2vec2) on the Radio-Modified Common Voice 11.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 316.8398
- Wer: 95.7239

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 15000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
|:-------------:|:-------:|:-----:|:---------------:|:-------:|
| 483.2584      | 2.0083  | 1000  | 434.6134        | 100.0   |
| 405.653       | 4.0167  | 2000  | 344.3590        | 96.6701 |
| 370.4857      | 6.025   | 3000  | 342.5145        | 99.8213 |
| 369.1107      | 9.0042  | 4000  | 327.9243        | 99.9830 |
| 346.2929      | 11.0125 | 5000  | 318.8220        | 99.3436 |
| 343.8343      | 13.0208 | 6000  | 312.6764        | 98.5592 |
| 341.4097      | 15.0292 | 7000  | 314.1781        | 99.1016 |
| 353.2187      | 18.0083 | 8000  | 337.7428        | 99.9430 |
| 362.3456      | 20.0167 | 9000  | 312.4731        | 97.1724 |
| 340.6648      | 22.025  | 10000 | 309.5160        | 96.7086 |
| 346.2773      | 25.0042 | 11000 | 307.8313        | 96.0953 |
| 324.1138      | 27.0125 | 12000 | 314.9616        | 95.1754 |
| 331.969       | 29.0208 | 13000 | 311.7163        | 95.5329 |
| 325.9136      | 31.0292 | 14000 | 315.2805        | 95.6577 |
| 335.0141      | 34.0083 | 15000 | 316.8398        | 95.7239 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1