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20230429-001-baseline-mbert-no-qa-ft-clickbait-spoiling

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: 4.9025

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: 10

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 200 3.3463
No log 2.0 400 3.1131
3.2437 3.0 600 3.3240
3.2437 4.0 800 3.4426
1.6579 5.0 1000 3.8462
1.6579 6.0 1200 4.1288
1.6579 7.0 1400 4.4595
0.753 8.0 1600 4.6898
0.753 9.0 1800 4.8666
0.4008 10.0 2000 4.9025

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.12.0
  • Tokenizers 0.13.3
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