dianavdavidson/whisper-small_vaani_62089_ratio_alldata_lr_1e-4_lgid_None_epochs_100_FT

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whisper-smallvaani62089ratioalldatalr1e-4lgidNoneepochs100_FT

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

• —Loss: 0.5939
• —Global Wer: 13.6581

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: 0.0001
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use adamwtorchfused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: constantwithwarmup
• —lrschedulerwarmup_steps: 500
• —num_epochs: 100

Training results

Framework versions

• —Transformers 5.0.0.dev0
• —Pytorch 2.9.0+cu126
• —Datasets 3.6.0
• —Tokenizers 0.22.2