t5_small_NCC-finetuned-sv-frp-classifier

This model is a fine-tuned version of north/t5_small_NCC on the norwegian_parliament dataset. It achieves the following results on the evaluation set:

  • Loss: nan
  • Sequence Accuracy: 69.7875

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: 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: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Sequence Accuracy
No log 1.0 113 nan 69.7875

Framework versions

  • Transformers 4.16.2
  • Pytorch 1.9.0
  • Datasets 2.3.2
  • Tokenizers 0.11.0
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