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finetuned-hindi-model-stt – AI Model by PrernaGyani | AlphaNeural AI
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finetuned-hindi-model-stt
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-base
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper base finetuned model
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:
Loss: 0.7033
Wer: 74.4730
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-07
train_batch_size: 8
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: 100
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.6854
1.0
546
0.7637
78.6083
0.5953
2.0
1092
0.7033
74.4730
Framework versions
Transformers 4.52.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.5.1.dev0
Tokenizers 0.21.1
