nilc-nlp/psst-model-8e-1s-difflib

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psst-model-8e-1s-difflib

This model is a fine-tuned version of openai/whisper-large-v3 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4445
• —Wer: 0.1554
• —Iu F1: 0.7255
• —Iu Tp: 847
• —Iu Fp: 490
• —Iu Fn: 151

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: 4
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 8
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 664
• —training_steps: 9480

Training results

Framework versions

• —Transformers 5.6.2
• —Pytorch 2.6.0+cu124
• —Datasets 2.21.0
• —Tokenizers 0.22.2