guilhermebastos96/ft-whisper-large-v2-audioscorrigidos_2

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ft-whisper-large-v2-audioscorrigidos_2

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

• —eval_loss: 1.1441
• —eval_wer: 32.6136
• —eval_runtime: 17.5177
• —evalsamplesper_second: 1.37
• —evalstepsper_second: 0.171
• —epoch: 416.6667
• —step: 5000

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: 500
• —training_steps: 10000
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.45.2
• —Pytorch 2.2.1
• —Datasets 3.0.1
• —Tokenizers 0.20.1