MatricariaV/Georgian-ASR-kaggle

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Georgian-ASR-kaggle

This model is a fine-tuned version of facebook/mms-1b-all on the commonvoice11_0 dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1724
• —eval_wer: 0.2415
• —eval_runtime: 392.4168
• —evalsamplesper_second: 6.368
• —evalstepsper_second: 0.798
• —epoch: 0.0727
• —step: 100

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: 0.001
• —trainbatchsize: 4
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 100
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Framework versions

• —Transformers 4.49.0.dev0
• —Pytorch 2.5.1+cu121
• —Datasets 3.2.0
• —Tokenizers 0.21.0