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whisper-small-hi – AI Model by amitkayal | AlphaNeural AI
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amitkayal
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whisper-small-hi
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transformers
pytorch
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
hi
mozilla-foundation/common_voice_11_0
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: 0.5191
Wer: 21.7500
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0055
7.02
1000
0.4214
22.0939
0.0003
14.03
2000
0.4978
21.7070
0.0002
22.0
3000
0.5191
21.7500
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.10.0
Datasets 2.7.1.dev0
Tokenizers 0.13.2
