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