Oysiyl/w2v-bert-2.0-ukrainian-colab-CV16.0

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w2v-bert-2.0-ukrainian-colab-CV16.0

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

• —Loss: 0.1438
• —Wer: 0.0987

Note: the model was finetuned on Ukrainian alphabet in lowercase plus "'" sign. Therefore this model can't add punctuation or capitalization.

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: 64
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 2
• —totaltrainbatch_size: 128
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 10
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.37.0.dev0
• —Pytorch 1.12.1+cu116
• —Datasets 2.4.0
• —Tokenizers 0.15.1