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tydiqa_mbert_qa_model

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metadata
license: apache-2.0
base_model: bert-base-multilingual-cased
tags:
  - generated_from_trainer
model-index:
  - name: tydiqa_mbert_qa_model
    results: []

tydiqa_mbert_qa_model

This model is a fine-tuned version of bert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4738

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: 3

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 348 0.5800
1.5107 2.0 696 0.4818
0.8073 3.0 1044 0.4738

Framework versions

  • Transformers 4.33.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.5
  • Tokenizers 0.13.3