whisper-medium-dv-koya

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KOYA Dhivehi Whisper Medium

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 13 + Shaafiu dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.1756
• eval_wer_ortho: 48.9192
• eval_wer: 8.3095
• eval_runtime: 837.3987
• eval_samples_per_second: 2.645
• eval_steps_per_second: 0.331
• epoch: 2.5840
• step: 2000

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: 5e-06
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 2
• 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: 200
• training_steps: 2000
• mixed_precision_training: Native AMP

Framework versions

• Transformers 4.44.2
• Pytorch 2.2.1
• Datasets 2.20.0
• Tokenizers 0.19.1