---
license: mit
tags:
- generated_from_trainer
model-index:
- name: indobert-base-p2-finetuned-mer
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# indobert-base-p2-finetuned-mer

This model is a fine-tuned version of [indobenchmark/indobert-base-p2](https://huggingface.co/indobenchmark/indobert-base-p2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.1964

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 7.7183        | 1.0   | 28   | 6.6949          |
| 6.3179        | 2.0   | 56   | 5.7267          |
| 5.5857        | 3.0   | 84   | 5.2449          |
| 5.17          | 4.0   | 112  | 4.8586          |
| 4.893         | 5.0   | 140  | 4.6777          |
| 4.7121        | 6.0   | 168  | 4.4832          |
| 4.5402        | 7.0   | 196  | 4.3532          |
| 4.4698        | 8.0   | 224  | 4.2814          |
| 4.4012        | 9.0   | 252  | 4.2612          |
| 4.3725        | 10.0  | 280  | 4.2325          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.6.1
- Tokenizers 0.13.2