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whisper-small-np – AI Model by alex-miller | AlphaNeural AI
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whisper-small-np
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
ne
mozilla-foundation/common_voice_13_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Nepali Finetune - Devinit
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: 0.7953
Wer Ortho: 67.0236
Wer: 34.2593
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: 500
Training results
Training Loss
Epoch
Step
Validation Loss
Wer Ortho
Wer
0.0003
35.71
500
0.7953
67.0236
34.2593
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.14.1
