Priyanship/base_sami_22k_ftallpseudo_ftlabelled_sami_parliament_alld0

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basesami22kftallpseudoftlabelledsamiparliament_alld0

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

• —Loss: 189.4120
• —Wer: 0.3890
• —Cer: 0.1332

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: 0.0005
• —trainbatchsize: 16
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.25
• —num_epochs: 60.0
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.48.3
• —Pytorch 2.5.1
• —Datasets 3.2.0
• —Tokenizers 0.21.0