VladS159/Whisper_medium_ro_VladS_2000_steps_multi_gpu_26_02_2024

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Whisper Medium Ro - Sarbu Vlad - multi gpu

This model is a fine-tuned version of openai/whisper-medium on the Common Voice 16.1 + Romanian speech synthesis dataset. It achieves the following results on the evaluation set:

• —Loss: 0.0807
• —Wer: 8.3506

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: 10
• —evalbatchsize: 10
• —seed: 42
• —distributed_type: multi-GPU
• —num_devices: 3
• —totaltrainbatch_size: 30
• —totalevalbatch_size: 30
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —training_steps: 2000
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.2
• —Pytorch 2.2.0
• —Datasets 2.17.0
• —Tokenizers 0.15.1