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lm-001
This model is a fine-tuned version of indobenchmark/indobert-base-p1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6661
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 206 | 4.9168 |
| No log | 2.0 | 412 | 4.1508 |
| 5.0799 | 3.0 | 618 | 3.7045 |
| 5.0799 | 4.0 | 824 | 3.5202 |
| 3.5959 | 5.0 | 1030 | 3.3053 |
| 3.5959 | 6.0 | 1236 | 3.2019 |
| 3.5959 | 7.0 | 1442 | 3.1049 |
| 3.1377 | 8.0 | 1648 | 2.9601 |
| 3.1377 | 9.0 | 1854 | 2.9142 |
| 2.8985 | 10.0 | 2060 | 2.8329 |
| 2.8985 | 11.0 | 2266 | 2.8186 |
| 2.8985 | 12.0 | 2472 | 2.8022 |
| 2.6988 | 13.0 | 2678 | 2.7455 |
| 2.6988 | 14.0 | 2884 | 2.7193 |
| 2.5927 | 15.0 | 3090 | 2.6942 |
| 2.5927 | 16.0 | 3296 | 2.6657 |
| 2.5015 | 17.0 | 3502 | 2.6681 |
| 2.5015 | 18.0 | 3708 | 2.6694 |
| 2.5015 | 19.0 | 3914 | 2.6911 |
| 2.4554 | 20.0 | 4120 | 2.6235 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2
