This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 subset test dataset. It achieves the following results on the evaluation set:

Loss: 1.0458
Wer: 525.0

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: 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: 500
training_steps: 4000

Training results

Epoch	Step	Validation Loss	Wer
1000.0	1000	0.9920	450.0
2000.0	2000	0.9749	475.0
3000.0	3000	1.0266	525.0
4000.0	4000	1.0458	525.0

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2

rsrahul178/first-small-hi

Whisper Small Hi - Rahul Soni

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rsrahul178/
first-small-hi