metadata
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: bart-base-cnn-swe
results: []
bart-base-cnn-swe
This model is a fine-tuned version of KBLab/bart-base-swedish-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.1656
- Rouge1: 21.7291
- Rouge2: 10.0209
- Rougel: 17.775
- Rougelsum: 20.429
- Gen Len: 19.9931
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- 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 | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.3512 | 1.0 | 17944 | 2.1656 | 21.7291 | 10.0209 | 17.775 | 20.429 | 19.9931 |
Framework versions
- Transformers 4.21.2
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1