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

Loss: 0.4781
Wer: 43.3568

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: 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

Training Loss	Epoch	Step	Validation Loss	Wer
0.0628	12.01	250	0.2729	46.0649
0.0021	24.02	500	0.3792	59.7743
0.0004	37.01	750	0.4475	47.6728
0.0003	49.02	1000	0.4781	43.3568

Framework versions

Transformers 4.26.1
Pytorch 1.11.0+cu102
Datasets 2.10.0
Tokenizers 0.13.2

chandan3007/Whisper-small-oriya

Whisper Small Odia

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

chandan3007/
Whisper-small-oriya