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End of training
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metadata
license: apache-2.0
base_model: distilbert-base-multilingual-cased
tags:
  - generated_from_trainer
datasets:
  - ja_qu_ad
model-index:
  - name: distilbert-base-multilingual-cased-JaQuAD
    results: []

distilbert-base-multilingual-cased-JaQuAD

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

  • Loss: 0.8854

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
1.1814 1.0 1588 0.9811
0.8336 2.0 3176 0.8850
0.6443 3.0 4764 0.8854

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0