Whisper Medium Turkish 2

🚀 Whisper Medium TR

This model is a fine - tuned version of the OpenAI Whisper Medium model, specifically adapted for Turkish audio - to - text transcription, achieving excellent results on the Common Voice 11.0 dataset.

🚀 Quick Start

This model is a fine - tuned version of [openai/whisper - medium](https://huggingface.co/openai/whisper - medium) on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

• Loss: 0.211673
• Wer: 18.51

✨ Features

• Adapted for Turkish audio to text transcription.
• Set weight decay to 0.1 to cope with overfitting.

📚 Documentation

Model description

This model is the openai whisper medium transformer adapted for Turkish audio to text transcription. This model has weight decay set to 0.1 to cope with overfitting.

Intended uses & limitations

The model is available through its [HuggingFace web app](https://huggingface.co/spaces/emre/emre - whisper - medium - turkish - 2)

Training and evaluation data

Data used for training is the initial 10% of train and validation of [Turkish Common Voice](https://huggingface.co/datasets/mozilla - foundation/common_voice_11_0/viewer/tr/train) 11.0 from Mozilla Foundation. Weight decay showed to have slightly better result also on the evaluation dataset.

Training procedure

After loading the pre - trained model, it has been trained on the dataset.

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: 4000
• mixed_precision_training: Native AMP
• weight_decay: 0.1

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.12.1+cu113
• Datasets 2.7.1
• Tokenizers 0.13.2

📄 License

The model is licensed under the Apache - 2.0 license.

Information Table