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whisper-tiny-2023-01-30 – AI Model by Mehtap | AlphaNeural AI

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Mehtap/
whisper-tiny-2023-01-30

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tiny Turkish Whisper (tTW)

This model is a fine-tuned version of openai/whisper-tiny on the Ermetal Meetings dataset. It achieves the following results on the evaluation set:

Loss: 6.0735
Wer: 1.4939
Cer: 1.0558

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: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 1

Training results

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.12.1+cu102
Datasets 2.5.2
Tokenizers 0.13.1