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electra-finetuned-combo-textbook

This model is a fine-tuned version of google/electra-small-generator on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 2.0465

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
3.1458 1.0 2468 2.8891
2.8707 2.0 4936 2.7016
2.7021 3.0 7404 2.5199
2.6068 4.0 9872 2.4902
2.5111 5.0 12340 2.4149
2.4193 6.0 14808 2.3743
2.383 7.0 17276 2.3333
2.3082 8.0 19744 2.2770
2.2723 9.0 22212 2.2606
2.2151 10.0 24680 2.2444
2.1869 11.0 27148 2.1859
2.1588 12.0 29616 2.1959
2.1188 13.0 32084 2.1490
2.0947 14.0 34552 2.1259
2.06 15.0 37020 2.1211
1.9976 16.0 39488 2.0701
1.9975 17.0 41956 2.1048
1.9479 18.0 44424 2.1072
1.9215 19.0 46892 2.0794
1.9426 20.0 49360 2.0465

Framework versions

  • Transformers 4.38.2
  • Pytorch 1.13.1+cu116
  • Datasets 2.18.0
  • Tokenizers 0.15.2
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