iFaz/whisper-base-SER-v5_2

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whisper-base-SER-v5_1

This fine-tune is corrupted (because i used mistakenly only 100 rows for training😑😑😑

) This model is a fine-tuned version of openai/whisper-base on the WhisperCompatibleSERbenchmark(Not trainaugmented) dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3675
• —Wer: 236.0

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: 32
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 6000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.0
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0