readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - norwegian_parliament
  model-index:
  - name: t5_small_NCC_lm-finetuned-sv-frp-classifier-3
    results: []
  ---
  
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
  should probably proofread and complete it, then remove this comment. -->
  
  # t5_small_NCC_lm-finetuned-sv-frp-classifier-3
  
  This model is a fine-tuned version of [north/t5_small_NCC_lm](https://huggingface.co/north/t5_small_NCC_lm) on the norwegian_parliament dataset.
  It achieves the following results on the evaluation set:
  - Loss: nan
  - Sequence Accuracy: 0.0
  
  ## 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: 0.001
  - 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: 10
  - mixed_precision_training: Native AMP
  
  ### Training results
  
  | Training Loss | Epoch | Step | Validation Loss | Sequence Accuracy |
  |:-------------:|:-----:|:----:|:---------------:|:-----------------:|
  | No log        | 1.0   | 113  | nan             | 0.0               |
  | No log        | 2.0   | 226  | nan             | 0.0               |
  | No log        | 3.0   | 339  | nan             | 0.0               |
  | No log        | 4.0   | 452  | nan             | 0.0               |
  | 0.0           | 5.0   | 565  | nan             | 0.0               |
  | 0.0           | 6.0   | 678  | nan             | 0.0               |
  | 0.0           | 7.0   | 791  | nan             | 0.0               |
  | 0.0           | 8.0   | 904  | nan             | 0.0               |
  | 0.0           | 9.0   | 1017 | nan             | 0.0               |
  | 0.0           | 10.0  | 1130 | nan             | 0.0               |
  
  
  ### Framework versions
  
  - Transformers 4.16.2
  - Pytorch 1.9.0
  - Datasets 2.3.2
  - Tokenizers 0.11.0
  