bart-indo-small
This model is a fine-tuned version of bart-large-cnn on Liputan6 dataset.
Training procedure
Training hyperparameters
- learning_rate: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Training Loss | Epoch | Step | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
---|---|---|---|---|---|---|---|---|---|---|---|
0.2443 | 1.0 | 48000 | 0.3579 | 0.6416 | 0.4468 | 0.1163 | 0.2467 | 0.1551 | 0.3499 | 0.625 | 0.4359 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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