guilhermebastos96/whisper_small_finetuning_2

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whispersmallfinetuning_2

This model is a fine-tuned version of guilhermebastos96/whisper_small_finetuning on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.5042
• —eval_wer: 25.5376
• —eval_runtime: 2753.7295
• —evalsamplesper_second: 3.438
• —evalstepsper_second: 0.43
• —epoch: 19.3384
• —step: 38000

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: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —training_steps: 40000
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.41.2
• —Pytorch 2.2.1
• —Datasets 2.19.2
• —Tokenizers 0.19.1