Cafet/whisper-meduim-mongolian

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whisper-meduim-mongolian

This model is a fine-tuned version of openai/whisper-medium on custom. It achieves the following results on the evaluation set:

• —Loss: 0.3098
• —Wer: 26.8664

Training hyperparameters

The following hyperparameters were used during training:

• —learning_rate: 1e-05
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 2000
• —training_steps: 10000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.40.1
• —Pytorch 2.2.0
• —Datasets 2.19.0
• —Tokenizers 0.19.1