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---
tags:
- generated_from_trainer
model-index:
- name: wav2vec2-base-en-in
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-base-en-in
This model is a fine-tuned version of [beinghorizontal/wav2vec2-base-en-in](https://huggingface.co/beinghorizontal/wav2vec2-base-en-in) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.0776
- Wer: 1.0
## Model description
Model for male English Indian accent.
## Intended uses & limitations
Intended for male speakers with an Indian accent
## Training and evaluation data
Data is all personal based on my Reddit and Twitter chat history Spoken with desktop omnidirectional microphone. Data collection is still in progress.
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 100
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:---:|
| 3.1239 | 83.33 | 500 | 3.0776 | 1.0 |
### Framework versions
- Transformers 4.17.0
- Pytorch 1.12.0+cu113
- Datasets 1.18.3
- Tokenizers 0.12.1
|