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whisper-finetune-kyrgyz – AI Model by jaranohaal | AlphaNeural AI
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whisper-finetune-kyrgyz
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ky
common_voice_17_0
openai/whisper-medium
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-finetune-kyrgyz
This model is a fine-tuned version of
openai/whisper-medium
on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.3735
Wer: 32.0036
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: 1000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0404
4.6948
1000
0.3735
32.0036
Framework versions
Transformers 4.42.3
Pytorch 2.3.0+cu121
Datasets 2.20.0
Tokenizers 0.19.1
