ekaterinatao/books_text_class_roBERTa_ru_base

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bookstextclassroBERTaru_base

This model is a fine-tuned version of DeepPavlov/xlm-roberta-large-en-ru-mnli on the dataset containing 64 russian books in fb2 format.

It achieves the following results on the evaluation set:

• —eval_loss: 0.1550
• —eval_accuracy: 0.9824
• —eval_f1-score: 0.9804
• —eval_mcc: 0.9234
• —eval_runtime: 175.3993
• —evalsamplesper_second: 90.838
• —evalstepsper_second: 18.17
• —epoch: 4.0
• —step: 29744

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: 1e-05
• —trainbatchsize: 5
• —evalbatchsize: 5
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: cosine
• —lrschedulerwarmup_ratio: 0.1
• —num_epochs: 10

Framework versions

• —Transformers 4.35.2
• —Pytorch 2.1.0+cu121
• —Datasets 2.15.0
• —Tokenizers 0.15.0