finetuning-sentiment-model-norsk

This model is a fine-tuned version of ltg/norbert3-xs on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.6611
  • eval_accuracy: 0.76
  • eval_f1: 0.7574
  • eval_runtime: 3.1462
  • eval_samples_per_second: 95.354
  • eval_steps_per_second: 6.039
  • step: 0

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: 2e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 2

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.2.1+cu121
  • Datasets 2.19.1
  • Tokenizers 0.19.1
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