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whisper-lingala-small-test-20 – AI Model by KasuleTrevor | AlphaNeural AI
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KasuleTrevor
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whisper-lingala-small-test-20
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transformers
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
sw
DigitalUmuganda/AfriVoice
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small
This model is a fine-tuned version of
openai/whisper-small
on the AfriVoice dataset. It achieves the following results on the evaluation set:
Loss: 1.0151
Wer: 37.2345
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
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1977
8.1301
500
0.7429
41.9683
0.0059
16.2602
1000
0.9167
38.4064
0.001
24.3902
1500
0.9849
37.3501
0.0007
32.5203
2000
1.0151
37.2345
Framework versions
Transformers 4.44.2
Pytorch 2.1.0+cu118
Datasets 2.21.0
Tokenizers 0.19.1
