roberta-base_PrefixTuning_lr0.0005_bs4_epoch20_wd0.01

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

  • Loss: 3.9612

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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
16.1454 1.0 157 20.9147
14.0712 2.0 314 19.1650
11.1417 3.0 471 9.2979
6.9892 4.0 628 6.3310
6.4327 5.0 785 5.8392
5.9068 6.0 942 5.5211
5.7042 7.0 1099 5.2767
5.399 8.0 1256 5.0556
5.117 9.0 1413 4.8469
5.0361 10.0 1570 4.6365
4.8558 11.0 1727 4.4569
4.6969 12.0 1884 4.3400
4.5535 13.0 2041 4.2330
4.522 14.0 2198 4.1549
4.3703 15.0 2355 4.1031
4.305 16.0 2512 4.0450
4.3117 17.0 2669 4.0057
4.2937 18.0 2826 3.9820
4.2778 19.0 2983 3.9654
4.2304 20.0 3140 3.9612

Framework versions

  • PEFT 0.7.1
  • Transformers 4.36.2
  • Pytorch 2.0.1
  • Datasets 2.16.1
  • Tokenizers 0.15.0
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