baseline001-50-20230913

This model is a fine-tuned version of intanm/mbert-squadv2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 4.8797

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 1.0 100 2.9207
No log 2.0 200 2.9880
No log 3.0 300 3.2226
No log 4.0 400 3.7301
1.9231 5.0 500 4.1041
1.9231 6.0 600 4.3848
1.9231 7.0 700 4.6603
1.9231 8.0 800 4.7136
1.9231 9.0 900 4.7793
0.355 10.0 1000 4.8797

Framework versions

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