tags: | |
- generated_from_trainer | |
datasets: | |
- id_liputan6 | |
model-index: | |
- name: bert2bert-dropout-0.3-lr-5e-05-ds-canonical | |
results: [] | |
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# 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: 2.2037 | |
- Rouge2 Precision: 0.1783 | |
- Rouge2 Recall: 0.1901 | |
- Rouge2 Fmeasure: 0.1818 | |
## 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 | | |
|:-------------:|:-----:|:-----:|:---------------:|:----------------:|:-------------:|:---------------:| | |
| 1.7398 | 1.0 | 4040 | 2.2892 | 0.1789 | 0.1933 | 0.1835 | | |
| 1.5953 | 2.0 | 8080 | 2.2380 | 0.1789 | 0.1917 | 0.1829 | | |
| 1.5771 | 3.0 | 12120 | 2.2037 | 0.1783 | 0.1901 | 0.1818 | | |
### Framework versions | |
- Transformers 4.37.0 | |
- Pytorch 2.1.2 | |
- Datasets 2.16.1 | |
- Tokenizers 0.15.1 | |