This model is a fine-tuned version of openai/whisper-medium on the mozilla-foundation/common_voice_13_0 dv dataset. It achieves the following results on the evaluation set:

Loss: 0.2998
Wer: 8.9578

To reproduce this run, execute the command in run.sh. Note that you will require the DeepSpeed package, which can be pip installed with:

pip install --upgrade deepspeed

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: 16
seed: 42
distributed_type: multi-GPU
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

Training Loss	Epoch	Step	Validation Loss	Wer
0.0349	3.58	1000	0.1622	9.9437
0.0046	7.17	2000	0.2288	9.5090
0.0007	10.75	3000	0.2820	9.0952
0.0	14.34	4000	0.2998	8.9578

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1.dev0
Tokenizers 0.13.3

sanchit-gandhi/whisper-medium-dv

whisper-medium-dv

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sanchit-gandhi/
whisper-medium-dv