Monsia/test-model-lg-data

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test-model-lg-data

This model is a fine-tuned version of Monsia/test-model-lg-data on the common_voice dataset. It achieves the following results on the evaluation set:

• —Loss: 0.3354
• —Wer: 0.4150

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: 16
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 200
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.11.3
• —Pytorch 1.10.0+cu113
• —Datasets 1.13.3
• —Tokenizers 0.10.3