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whisper-small-hi-transfer-ne – AI Model by RikeshSilwal | AlphaNeural AI
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whisper-small-hi-transfer-ne
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ne
openslr/slr43
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper small nepali - Rikesh Silwal
This model is a fine-tuned version of
openai/whisper-small
on the slr43 dataset. It achieves the following results on the evaluation set:
Loss: 0.3583
Wer: 33.7199
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: 4000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0061
9.62
1000
0.3096
36.4853
0.0001
19.23
2000
0.3306
34.2551
0.0
28.85
3000
0.3525
33.5712
0.0
38.46
4000
0.3583
33.7199
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
