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runyakore – AI Model by Tobius | AlphaNeural AI
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runyakore
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
whisper-event
generated_from_trainer
nyn
tericlabs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
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Whisper Small Runyankore
This model is a fine-tuned version of
openai/whisper-small
on the Yogera data dataset. It achieves the following results on the evaluation set:
Loss: 1.6289
Wer: 96.9176
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: 8
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: 300
training_steps: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.9225
0.5
100
2.3983
126.6153
1.8681
1.25
200
1.6289
96.9176
Framework versions
Transformers 4.37.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.0