<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
mlm-v1-fin-lm-20230327-001
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: 3.1656
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 | 202 | 4.8648 |
| No log | 2.0 | 404 | 4.1999 |
| 5.0742 | 3.0 | 606 | 3.8195 |
| 5.0742 | 4.0 | 808 | 3.6765 |
| 3.6813 | 5.0 | 1010 | 3.4704 |
| 3.6813 | 6.0 | 1212 | 3.3729 |
| 3.6813 | 7.0 | 1414 | 3.2776 |
| 3.2844 | 8.0 | 1616 | 3.2935 |
| 3.2844 | 9.0 | 1818 | 3.2279 |
| 3.1238 | 10.0 | 2020 | 3.2009 |
Framework versions
- Transformers 4.27.3
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
