metadata
tags:
- generated_from_trainer
datasets:
- id_liputan6
model-index:
- name: bert2bert-dropout-0.3-lr-5e-05-ds-canonical
results: []
bert2bert-dropout-0.3-lr-5e-05-ds-canonical
This model was trained from scratch on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 2.3368
- Rouge2 Precision: 0.1701
- Rouge2 Recall: 0.181
- Rouge2 Fmeasure: 0.1731
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: 5e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge2 Precision | Rouge2 Recall | Rouge2 Fmeasure |
|---|---|---|---|---|---|---|
| 2.8387 | 1.0 | 4040 | 2.6668 | 0.1434 | 0.1495 | 0.1445 |
| 2.0882 | 2.0 | 8080 | 2.3950 | 0.174 | 0.1756 | 0.1725 |
| 1.8985 | 3.0 | 12120 | 2.3368 | 0.1701 | 0.181 | 0.1731 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.15.1