Whisper_Small_Odia_10k_steps

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Whisper Small Odia 10k steps

This model is a fine-tuned version of openai/whisper-small on the Ranjit/or_in_dataset dataset. It achieves the following results on the evaluation set:

• Loss: 0.2806
• Wer: 19.7720

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 200
• training_steps: 10000
• mixed_precision_training: Native AMP

Training results

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