sanchit-gandhi/whisper-medium-fleurs-lang-id

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Whisper Medium FLEURS Language Identification

This model is a fine-tuned version of openai/whisper-medium on the FLEURS subset of the google/xtreme_s dataset. It achieves the following results on the evaluation set:

• —Loss: 0.8413
• —Accuracy: 0.8805

To reproduce this run, execute the command in `run.sh`.

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: 3e-05
• —trainbatchsize: 16
• —evalbatchsize: 32
• —seed: 0
• —distributed_type: multi-GPU
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 3.0

Training results

Framework versions

• —Transformers 4.27.0.dev0
• —Pytorch 1.13.1
• —Datasets 2.9.0
• —Tokenizers 0.13.2