sit-justin/whisper-medium-seq-p2-moe-sox

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Whisper Small Chinese MOE Response

This model is a fine-tuned version of sit-justin/whisper-medium-p2-moe on the MOE Response Chinese dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0360
• —Cer: 2.4470

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: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 250
• —training_steps: 2000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.42.3
• —Pytorch 2.3.1+cu121
• —Datasets 2.20.0
• —Tokenizers 0.19.1