IoanaLivia/whisper-small-finetuned-800-standard-A-epochs-10-5-03-20-17

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whisper-small-finetuned-800-standard-A-epochs-10-5-03-20-17

This model is a fine-tuned version of openai/whisper-small on the horoscopestandarda8005_03 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.5525
• —Wer: 28.3884

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: 1e-05
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.4.1
• —Tokenizers 0.21.0