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whisper-small-sm – AI Model by HemantDevkota123 | AlphaNeural AI | AlphaNeural AI
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whisper-small-sm
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
speech-recognition
hindi
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
openai/whisper-large
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-hindi
This model is a fine-tuned version of
openai/whisper-large
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2842
Wer: 34.0557
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 818
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1263
1.0
409
0.2835
36.1212
0.0693
2.0
818
0.2842
34.0557
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
