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whisper-small-hi – AI Model by JayNauti | AlphaNeural AI
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JayNauti
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whisper-small-hi
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-hi
This model is a fine-tuned version of
openai/whisper-small
on the None dataset. It achieves the following results on the evaluation set:
Loss: 4.4247
Wer: 366.6667
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: 5000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0
1000.0
1000
4.1102
450.0
0.0
2000.0
2000
4.2726
350.0
0.0
3000.0
3000
4.3614
366.6667
0.0
4000.0
4000
4.4118
366.6667
0.0
5000.0
5000
4.4247
366.6667
Framework versions
Transformers 4.40.1
Pytorch 2.3.0
Datasets 2.19.0
Tokenizers 0.19.1
