alinerodrigues/wav2vec2-large-xlsr-coraa-aug-words-phoneme-exp-1-v6

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wav2vec2-large-xlsr-coraa-aug-words-phoneme-exp-1-v6

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3481
• —Per Hf Metric: 0.0516
• —Per Avg: 0.0690

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: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Use OptimizerNames.ADAMWTORCHFUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 30
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.55.4
• —Pytorch 2.8.0+cu126
• —Datasets 4.0.0
• —Tokenizers 0.21.4