KJnr/whisper-small-mult-2xt-continued

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whisper-small-mult-2xt-continued

This model is a fine-tuned version of KJnr/finetuned-whisper-small-V1.0.0 on the generator dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4920
• —Wer: 53.5032

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
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —totalevalbatch_size: 8
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.05
• —training_steps: 3000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.52.4
• —Pytorch 2.5.1+cu124
• —Datasets 3.6.0
• —Tokenizers 0.21.0