asr-300m-turkish

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asr-300m-turkish

This model is a fine-tuned version of wav2vec2 xls-r 300M on the common_voice dataset. It achieves the following results on the evaluation set:

• Loss: 0.4060
• Wer: 0.3879

Model description

The following datasets were used for finetuning:

• Common Voice 7.0 TR All validated split except test split was used for training.
• MediaSpeech

Intended uses & limitations

More information needed

Training and evaluation data

The following datasets were used for finetuning:

Common Voice 7.0 TR All validated split except test split was used for training. MediaSpeech

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 0.0003
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• total_train_batch_size: 32
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30

Training results

Framework versions

• Transformers 4.30.2
• Pytorch 2.0.1+cu118
• Datasets 1.18.3
• Tokenizers 0.13.3