disk0dancer/ruBert-large-finetuned-pos

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ruBert-large-finetuned-pos

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• —eval_loss: 0.1372
• —eval_precision: 0.8571
• —eval_recall: 0.8794
• —eval_f1: 0.8681
• —eval_accuracy: 0.8865
• —eval_runtime: 0.5542
• —evalsamplesper_second: 36.088
• —evalstepsper_second: 3.609
• —step: 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: 2e-05
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5

Framework versions

• —Transformers 4.39.0
• —Pytorch 2.2.1+cu121
• —Datasets 2.18.0
• —Tokenizers 0.15.2