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Megnis
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bert-finetuned-sbersquad

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bert-finetuned-sbersquad

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset.

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
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.44.0
  • Pytorch 2.4.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1
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Model tree for Megnis/bert-finetuned-sbersquad

Base model

google-bert/bert-base-multilingual-cased
Finetuned
(1002)
this model

Dataset used to train Megnis/bert-finetuned-sbersquad