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whisper-tiny-bn – AI Model by lohitava | AlphaNeural AI
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whisper-tiny-bn
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
bn
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Bn - Lohitava Ghosh
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2394
Wer: 63.4318
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: 8
seed: 42
optimizer: Use OptimizerNames.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: 500
training_steps: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3354
0.6365
1000
0.3555
77.6737
0.2373
1.2731
2000
0.2772
69.6010
0.2246
1.9096
3000
0.2479
65.2452
0.2028
2.5461
4000
0.2394
63.4318
Framework versions
Transformers 4.51.3
Pytorch 2.5.1+cu124
Datasets 3.5.1
Tokenizers 0.21.0
