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hindi-asr – AI Model by Chanpreet3000 | AlphaNeural AI
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hindi-asr
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transformers
pytorch
tf
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Hi
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4519
Wer: 26.0113
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1011
2.44
1000
0.3075
34.6313
0.0264
4.89
2000
0.3558
33.1288
0.0025
7.33
3000
0.4214
30.5912
0.0006
9.78
4000
0.4519
28.0113
0.0002
12.22
5000
0.4679
26.0960
