Kiyan122/whisper-small-fa-filimo

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whisper-small-fa-filimo

This model is a fine-tuned version of openai/whisper-small on an unknown dataset.

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
• —distributed_type: multi-GPU
• —num_devices: 2
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 16
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: cosinewithmin_lr
• —lrschedulerwarmup_steps: 40
• —training_steps: 400
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 5.0.0
• —Pytorch 2.10.0+cu128
• —Datasets 5.0.0
• —Tokenizers 0.22.2