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whisper-tiny-ka-02 – AI Model by GiorgiSekhniashvili | AlphaNeural AI
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whisper-tiny-ka-02
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ka
mozilla-foundation/common_voice_16_1
openai/whisper-tiny
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Tiny Ka
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice dataset. It achieves the following results on the evaluation set:
Loss: 5.0988
Wer: 134.8396
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: 0.003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
5.0576
1.45
1000
5.1841
158.1475
4.6405
2.9
2000
4.8881
131.9237
4.0627
4.35
3000
4.9336
143.5772
3.781
5.8
4000
4.9113
129.0976
3.0831
7.25
5000
5.0988
134.8396
Framework versions
Transformers 4.38.2
Pytorch 2.0.1+cu118
Datasets 2.17.1
Tokenizers 0.15.2
