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whisper-small-hi – AI Model by parasjain386 | AlphaNeural AI
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whisper-small-hi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
common_voice_11_0
openai/whisper-tiny
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-tiny
on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5378
Wer: 56.7045
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: 500
training_steps: 3000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3147
2.4450
1000
0.5462
61.2969
0.1993
4.8900
2000
0.5212
57.2082
0.1321
7.3350
3000
0.5378
56.7045
Framework versions
Transformers 4.41.2
Pytorch 1.12.1
Datasets 2.20.0
Tokenizers 0.19.1
