roberta-base_lora_lr5e-05_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: 0.3786

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: 5e-05
  • 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
19.0917 1.0 157 12.3781
5.0512 2.0 314 4.0762
3.8203 3.0 471 2.6873
2.586 4.0 628 2.0339
2.2522 5.0 785 1.6467
1.8436 6.0 942 1.2936
1.7033 7.0 1099 1.0691
1.4103 8.0 1256 0.8708
1.2267 9.0 1413 0.7359
1.1845 10.0 1570 0.6333
1.0321 11.0 1727 0.5510
0.9554 12.0 1884 0.5251
0.897 13.0 2041 0.4977
0.8424 14.0 2198 0.4571
0.8221 15.0 2355 0.4298
0.7638 16.0 2512 0.4095
0.7494 17.0 2669 0.4057
0.751 18.0 2826 0.3920
0.7365 19.0 2983 0.3818
0.7312 20.0 3140 0.3786

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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