metadata

tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-base-en-in
    results: []

wav2vec2-base-en-in

This model is a fine-tuned version of 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