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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: bert-all-squad_que_translated
    results: []

bert-all-squad_que_translated

This model is a fine-tuned version of bert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5174

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
1.0746 1.0 18011 0.5174

Framework versions

  • Transformers 4.17.0
  • Pytorch 1.9.1
  • Datasets 2.1.0
  • Tokenizers 0.11.6