urarik/w2v-bert-2.0-Chinese-colab-CV16.0-aishell-ark-gs-vtb-new_tokenizer

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w2v-bert-2.0-Chinese-colab-CV16.0-aishell-ark-gs-vtb-new_tokenizer

This model is a fine-tuned version of facebook/w2v-bert-2.0 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.2200
• —Wer: 1.7271

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: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 64
• —totaltrainbatch_size: 256
• —optimizer: Use adamwtorch with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.49.0
• —Pytorch 2.5.1+cu121
• —Datasets 2.17.1
• —Tokenizers 0.21.0