monideep2255/pseudolabeling-step2-F01-Pass-2

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pseudolabeling-step2-F01-Pass-2

This model is a fine-tuned version of monideep2255/XLRS-torgo on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2704
• —Wer: 1.1942

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: 500
• —num_epochs: 30
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.23.1
• —Pytorch 1.12.1+cu113
• —Datasets 1.18.3
• —Tokenizers 0.13.2