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mobilebert-uncased-squad-v2-16-11-2-16-11-2

This model is a fine-tuned version of badokorach/mobilebert-uncased-squad-v2-16-11-2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 25.2478

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: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 25

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 489 11.9059
0.3138 2.0 978 14.2379
0.2761 3.0 1467 14.5768
0.1998 4.0 1956 15.1178
0.2174 5.0 2445 16.0960
0.1874 6.0 2934 16.4190
0.155 7.0 3423 16.1489
0.1099 8.0 3912 16.4489
0.1429 9.0 4401 18.7170
0.1202 10.0 4890 17.5416
0.0998 11.0 5379 19.1337
0.0669 12.0 5868 20.7663
0.0517 13.0 6357 22.7418
0.0735 14.0 6846 22.7180
0.057 15.0 7335 21.5752
0.0382 16.0 7824 24.7041
0.0287 17.0 8313 23.8935
0.0582 18.0 8802 23.1639
0.0539 19.0 9291 23.2207
0.0349 20.0 9780 23.2792
0.0279 21.0 10269 24.0050
0.0536 22.0 10758 25.2554
0.0245 23.0 11247 25.7729
0.015 24.0 11736 25.1429
0.0166 25.0 12225 25.2478

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu118
  • Datasets 2.15.0
  • Tokenizers 0.15.0
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Model size
24.6M params
Tensor type
F32

Finetuned from