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joelniklaus/legal-maltese-roberta-base

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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legal-maltese-roberta-base

This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:

  • —Loss: 0.4186

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
  • —trainbatchsize: 16
  • —evalbatchsize: 16
  • —seed: 42
  • —distributed_type: tpu
  • —num_devices: 8
  • —gradientaccumulationsteps: 4
  • —totaltrainbatch_size: 512
  • —totalevalbatch_size: 128
  • —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • —lrschedulertype: cosine
  • —lrschedulerwarmup_ratio: 0.05
  • —training_steps: 200000

Training results

Training LossEpochStepValidation Loss
0.681523.01500000.5264
0.665547.01000000.4623
0.586770.011500000.4325
0.570694.02000000.4186

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 1.12.0+cu102
  • —Datasets 2.9.0
  • —Tokenizers 0.12.0