thanhduycao/whisper-base-full-data-aug-v1

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whisper-base-full-data-aug-v1

This model is a fine-tuned version of openai/whisper-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3136

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
• —distributed_type: tpu
• —num_devices: 8
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 256
• —totalevalbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 5000
• —training_steps: 63840

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.1.0a0+gitcc01568
• —Datasets 2.13.1
• —Tokenizers 0.13.3