t5_small_NCC_lm-finetuned-sv-frp-classifier-3
This model is a fine-tuned version of 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