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---
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
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