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whisper-tiny-hi – AI Model by amitkayal | AlphaNeural AI
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amitkayal
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whisper-tiny-hi
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transformers
pytorch
tensorboard
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-tiny-hi
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.7990
Wer: 43.8869
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
gradient_accumulation_steps: 2
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
0.1747
7.02
1000
0.5674
41.6800
0.0466
14.03
2000
0.7042
43.7378
0.0174
22.0
3000
0.7990
43.8869
Framework versions
Transformers 4.26.0.dev0
Pytorch 1.10.0
Datasets 2.7.1.dev0
Tokenizers 0.13.2
