---
license: mit
base_model: indobenchmark/indogpt
tags:
- generated_from_trainer
datasets:
- id-review-gen
model-index:
- name: gpt2-completion-finetune-id-review-gen
  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. -->

# gpt2-completion-finetune-id-review-gen

This model is a fine-tuned version of [indobenchmark/indogpt](https://huggingface.co/indobenchmark/indogpt) on the id-review-gen dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3547

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.6024        | 1.0   | 2065  | 1.5079          |
| 1.4878        | 2.0   | 4130  | 1.4249          |
| 1.4336        | 3.0   | 6195  | 1.3837          |
| 1.4006        | 4.0   | 8260  | 1.3625          |
| 1.3912        | 5.0   | 10325 | 1.3547          |


### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.17.0
- Tokenizers 0.15.1