---
license: mit
tags:
- generated_from_trainer
model-index:
- name: lm-002-2
  results: []
---

<!-- 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. -->

# lm-002-2

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: 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