---
library_name: transformers
license: mit
base_model: indobenchmark/indobert-large-p1
tags:
- generated_from_trainer
metrics:
- precision
- f1
model-index:
- name: indobert-smsa_doc-finetuned
  results: []
---

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

This model is a fine-tuned version of [indobenchmark/indobert-large-p1](https://huggingface.co/indobenchmark/indobert-large-p1) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3324
- Precision: 0.9413
- F1: 0.9413

## 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | F1     |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
| 0.0285        | 1.0   | 1238 | 0.2476          | 0.9357    | 0.9357 |
| 0.0076        | 2.0   | 2476 | 0.2532          | 0.9397    | 0.9397 |
| 0.001         | 3.0   | 3714 | 0.3324          | 0.9413    | 0.9413 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1