MatricariaV/abkhaz-asr-kaggle-2

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abkhaz-asr-kaggle-2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the commonvoice17_0 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.4967
• —eval_wer: 0.8108
• —eval_runtime: 761.3529
• —evalsamplesper_second: 11.975
• —evalstepsper_second: 1.497
• —epoch: 0.4505
• —step: 1700

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: 0.0003
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 30
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.45.1
• —Pytorch 2.5.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.0