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roberta-base-EnglishLawAI_roberta_base_version4

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8089

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: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Training results

Training Loss Epoch Step Validation Loss
2.3575 1.0 23702 2.1592
2.2419 2.0 47404 2.1005
2.1663 3.0 71106 2.0487
2.1013 4.0 94808 2.0135
2.0497 5.0 118510 1.9840
1.9968 6.0 142212 1.9398
1.9507 7.0 165914 1.9163
1.9076 8.0 189616 1.8893
1.8662 9.0 213318 1.8604
1.8264 10.0 237020 1.8416
1.7927 11.0 260722 1.8134
1.7641 12.0 284424 1.8089

Framework versions

  • Transformers 4.21.1
  • Pytorch 1.12.0+cu113
  • Datasets 2.4.0
  • Tokenizers 0.12.1
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