indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10-with-lemma-and-upos-and-voice
This model is a fine-tuned version of indobenchmark/indobart-v2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2628
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 331 | 0.1993 |
| 0.2291 | 2.0 | 662 | 0.2123 |
| 0.2291 | 3.0 | 993 | 0.2197 |
| 0.0238 | 4.0 | 1324 | 0.2400 |
| 0.0115 | 5.0 | 1655 | 0.2418 |
| 0.0115 | 6.0 | 1986 | 0.2446 |
| 0.0069 | 7.0 | 2317 | 0.2520 |
| 0.0044 | 8.0 | 2648 | 0.2584 |
| 0.0044 | 9.0 | 2979 | 0.2652 |
| 0.0034 | 10.0 | 3310 | 0.2628 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3