jimjakdiend/distil_whisper_til

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distilwhispertil

This model is a fine-tuned version of distil-whisper/distil-large-v2 on an unknown dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.0001
• —eval_wer: 0.0083
• —eval_runtime: 1661.951
• —evalsamplesper_second: 2.106
• —evalstepsper_second: 0.264
• —epoch: 1.5982
• —step: 700

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
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 10
• —training_steps: 4000

Framework versions

• —Transformers 4.41.1
• —Pytorch 2.3.0+cu121
• —Datasets 2.19.1
• —Tokenizers 0.19.1