---
license: mit
tags:
- generated_from_trainer
model-index:
- name: indobert-base-p2-finetuned-mer-80k
  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-80k

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: 1.4680

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|
| 2.9647        | 1.0   | 2305  | 2.1419          |
| 2.0987        | 2.0   | 4610  | 1.8580          |
| 1.8866        | 3.0   | 6915  | 1.7170          |
| 1.7696        | 4.0   | 9220  | 1.6357          |
| 1.6951        | 5.0   | 11525 | 1.5761          |
| 1.6383        | 6.0   | 13830 | 1.5354          |
| 1.599         | 7.0   | 16135 | 1.5074          |
| 1.5738        | 8.0   | 18440 | 1.4862          |
| 1.5516        | 9.0   | 20745 | 1.4700          |
| 1.5382        | 10.0  | 23050 | 1.4633          |


### Framework versions

- Transformers 4.24.0
- Pytorch 1.13.0
- Datasets 2.7.0
- Tokenizers 0.13.2