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Punjabi Whisper Base - Keval Sakhiya

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

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The following hyperparameters were used during training:

learning_rate: 0.0001
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 200
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Wer
1.1553	7.1429	50	1.1833	124.2925
0.0659	14.2857	100	0.6407	73.5849
0.0065	21.4286	150	0.7339	71.6981
0.0005	28.5714	200	0.7616	66.0377

Safetensors

Model size

72.6M params

Tensor type

F32

Base model

Finetuned

(615)

this model