sulaimank/w2v-bert-cv-grain-lg_both

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w2v-bert-cv-grain-lg_both

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 16.2243
• —Wer: 1.0
• —Cer: 1.0

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: 5e-05
• —trainbatchsize: 8
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 16
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —num_epochs: 100
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.46.1
• —Pytorch 2.1.0+cu118
• —Datasets 3.1.0
• —Tokenizers 0.20.1