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lm-002-2
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: 2.2632
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 | 445 | 3.3647 |
3.9335 | 2.0 | 890 | 2.8834 |
3.0816 | 3.0 | 1335 | 2.6931 |
2.789 | 4.0 | 1780 | 2.5205 |
2.5818 | 5.0 | 2225 | 2.4183 |
2.4639 | 6.0 | 2670 | 2.3894 |
2.3898 | 7.0 | 3115 | 2.3479 |
2.3209 | 8.0 | 3560 | 2.2665 |
2.2683 | 9.0 | 4005 | 2.2642 |
2.2683 | 10.0 | 4450 | 2.2418 |
Framework versions
- Transformers 4.27.4
- Pytorch 1.13.1+cu116
- Datasets 2.11.0
- Tokenizers 0.13.2