indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10
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: 0.2386
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 | 0.1912 |
| 0.2498 | 2.0 | 662 | 0.1993 |
| 0.2498 | 3.0 | 993 | 0.1935 |
| 0.0285 | 4.0 | 1324 | 0.2173 |
| 0.0118 | 5.0 | 1655 | 0.2263 |
| 0.0118 | 6.0 | 1986 | 0.2247 |
| 0.0067 | 7.0 | 2317 | 0.2365 |
| 0.0045 | 8.0 | 2648 | 0.2363 |
| 0.0045 | 9.0 | 2979 | 0.2383 |
| 0.0034 | 10.0 | 3310 | 0.2386 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3