This model is a fine-tuned version of openai/whisper-small on the mozilla-foundation/common_voice_11_0 en dataset. It achieves the following results on the evaluation set:

Loss: 0.3261
Wer: 12.9975

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: 64
eval_batch_size: 32
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: 5000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.2259	0.2	1000	0.3857	15.1528
0.2584	0.4	2000	0.3618	14.5494
0.3919	0.6	3000	0.3964	17.4630
0.2566	0.8	4000	0.3349	13.4222
0.2232	1.0	5000	0.3261	12.9975

Framework versions

Transformers 4.27.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.12.1

rishabhjain16/whisper-small-en

Whisper Small Enlgish Common Voice

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

rishabhjain16/
whisper-small-en