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 common_voice_17_0 dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.4967
• eval_wer: 0.8108
• eval_runtime: 761.3529
• eval_samples_per_second: 11.975
• eval_steps_per_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
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 30
• mixed_precision_training: Native AMP

Framework versions

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