Makkoen/whisper-large-v3-cit-do015-wd0-lr1e-06-steps500-PHI

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FULL6

This model is a fine-tuned version of openai/whisper-large-v3 on the 970 FULL-2024-11-22 dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3523
• —Wer Ortho: 19.9273
• —Wer: 14.7053

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-06
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 4
• —totaltrainbatch_size: 16
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —training_steps: 500
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.44.0
• —Pytorch 1.13.1+cu117
• —Datasets 2.21.0
• —Tokenizers 0.19.1