This model is a fine-tuned version of simran14/mr-whisper-small-retrained on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2512
Wer: 13.9108

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0181	4.7468	3000	0.2512	13.9108

Framework versions

Transformers 4.43.0.dev0
Pytorch 2.3.0+cu121
Datasets 2.20.1.dev0
Tokenizers 0.19.1

simran14/mr-small-whisper-oi

simrank14 Whisper Small marathi other+inval

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

simran14/
mr-small-whisper-oi