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whisper-small-sn – AI Model by BrianMupini | AlphaNeural AI
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whisper-small-sn
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sn
google/fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Sn - Brian Mupini
This model is a fine-tuned version of
openai/whisper-small
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.5644
Wer Ortho: 37.8217
Wer: 37.525
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
0.1265
2.81
500
0.5644
37.8217
37.525
Framework versions
Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.14.7
Tokenizers 0.15.0
