distilbert-base-cased-distilled-squad-231123

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

  • Loss: 3.5287

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 15

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 116 1.9383
No log 2.0 232 1.9901
No log 3.0 348 2.0780
No log 4.0 464 2.2501
1.4804 5.0 580 2.4190
1.4804 6.0 696 2.5925
1.4804 7.0 812 2.7649
1.4804 8.0 928 2.9029
0.5119 9.0 1044 3.0296
0.5119 10.0 1160 3.1669
0.5119 11.0 1276 3.3412
0.5119 12.0 1392 3.3165
0.2287 13.0 1508 3.4167
0.2287 14.0 1624 3.5039
0.2287 15.0 1740 3.5287

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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