p4b/whisper-large-v2-lv

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Whisper Large-v2 Latvian

This model is a fine-tuned version of p4b/whisper-large-v2-lv on the mozilla-foundation/commonvoice11_0 lv dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2593
• —Wer: 19.9715

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-07
• —trainbatchsize: 32
• —evalbatchsize: 32
• —seed: 42
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 64
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_steps: 100
• —training_steps: 900

Training results

Framework versions

• —Transformers 4.26.0.dev0
• —Pytorch 2.0.0.dev20221218+cu116
• —Datasets 2.7.1
• —Tokenizers 0.13.2