|
--- |
|
license: mit |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: mlm-20230405-002-4 |
|
results: [] |
|
datasets: |
|
- intanm/indonesian_financial_statements |
|
--- |
|
|
|
<!-- 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-20230405-002-4 |
|
|
|
This model is a fine-tuned version of [indobenchmark/indobert-base-p1](https://huggingface.co/indobenchmark/indobert-base-p1) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9203 |
|
|
|
## 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 | 284 | 4.0646 | |
|
| 4.7247 | 2.0 | 568 | 3.3108 | |
|
| 4.7247 | 3.0 | 852 | 3.0008 | |
|
| 3.1652 | 4.0 | 1136 | 2.7421 | |
|
| 3.1652 | 5.0 | 1420 | 2.5398 | |
|
| 2.6664 | 6.0 | 1704 | 2.4601 | |
|
| 2.6664 | 7.0 | 1988 | 2.3281 | |
|
| 2.4079 | 8.0 | 2272 | 2.2595 | |
|
| 2.235 | 9.0 | 2556 | 2.2096 | |
|
| 2.235 | 10.0 | 2840 | 2.1656 | |
|
| 2.1012 | 11.0 | 3124 | 2.1208 | |
|
| 2.1012 | 12.0 | 3408 | 2.0601 | |
|
| 1.9958 | 13.0 | 3692 | 2.0032 | |
|
| 1.9958 | 14.0 | 3976 | 2.0479 | |
|
| 1.9279 | 15.0 | 4260 | 1.9541 | |
|
| 1.8739 | 16.0 | 4544 | 1.9563 | |
|
| 1.8739 | 17.0 | 4828 | 1.9444 | |
|
| 1.8358 | 18.0 | 5112 | 1.9108 | |
|
| 1.8358 | 19.0 | 5396 | 1.9408 | |
|
| 1.8018 | 20.0 | 5680 | 1.9278 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.27.4 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.11.0 |
|
- Tokenizers 0.13.3 |