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

Loss: 0.5089
Wer: 26.0931

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: 5e-06
train_batch_size: 32
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: 200
training_steps: 1000
mixed_precision_training: Native AMP

Training results

Epoch	Step	Validation Loss	Wer
12.01	250	0.5089	26.0931
24.02	500	0.5542	26.6291
37.01	750	0.5804	26.5162
49.02	1000	0.5902	26.4598

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.1+cu117
Datasets 2.8.1.dev0
Tokenizers 0.13.2

auro/whisper-cli-dropout-small-or

Whisper Small Odia

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

auro/
whisper-cli-dropout-small-or