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whisper-small-hi-ver2 – AI Model by saxenagauravhf | AlphaNeural AI
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whisper-small-hi-ver2
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
hi
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Hi - Gaurav Saxena - ver2
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 13 dataset. It achieves the following results on the evaluation set:
Loss: 0.2930
Wer Ortho: 33.9807
Wer: 17.7104
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.1229
1.1820
500
0.2950
36.5315
19.6363
0.0616
2.3641
1000
0.2930
33.9807
17.7104
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
