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This model is a fine-tuned version of indobenchmark/indobart-v2 on the squad dataset. It achieves the following results on the evaluation set:
- Loss: 1.6035
- Rouge1: 15.4275
- Rouge2: 14.2367
- Rougel: 15.4625
- Rougelsum: 15.4954
- Gen Len: 20.0
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: 3e-05
- 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
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4719 | 1.0 | 200 | 1.6035 | 15.4275 | 14.2367 | 15.4625 | 15.4954 | 20.0 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3
