bert2bert-extabs-generationconfig-lr-5e-05-encmaxlen-512-decmaxlen-256
This model was trained from scratch on the id_liputan6 dataset. It achieves the following results on the evaluation set:
- Loss: 2.4804
- R1 Precision: 0.0741
- R1 Recall: 0.5925
- R1 Fmeasure: 0.1313
- R2 Precision: 0.0272
- R2 Recall: 0.2265
- R2 Fmeasure: 0.0485
- Rl Precision: 0.0526
- Rl Recall: 0.4229
- Rl Fmeasure: 0.0933
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: 18
- eval_batch_size: 18
- 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 | R1 Precision | R1 Recall | R1 Fmeasure | R2 Precision | R2 Recall | R2 Fmeasure | Rl Precision | Rl Recall | Rl Fmeasure |
---|---|---|---|---|---|---|---|---|---|---|---|---|
2.2771 | 1.0 | 10772 | 2.6242 | 0.0699 | 0.5846 | 0.1245 | 0.025 | 0.2177 | 0.0447 | 0.0497 | 0.4181 | 0.0886 |
1.4458 | 2.0 | 21544 | 2.5320 | 0.0722 | 0.5918 | 0.1283 | 0.0264 | 0.2255 | 0.0472 | 0.0515 | 0.424 | 0.0915 |
1.2291 | 3.0 | 32316 | 2.4804 | 0.0741 | 0.5925 | 0.1313 | 0.0272 | 0.2265 | 0.0485 | 0.0526 | 0.4229 | 0.0933 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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